Tootfinder

Inclusive Easy-to-Read Generation for Individuals with Cognitive Impairments
Fran\c{c}ois Ledoyen, Ga\"el Dias, Alexis Lechervy, Jeremie Pantin, Fabrice Maurel, Youssef Chahir, Elisa Gouzonnat, M\'elanie Berthelot, Stanislas Moravac, Armony Altinier, Amy Khairalla
https://arxiv.org/abs/2510.00691

Inclusive Easy-to-Read Generation for Individuals with Cognitive Impairments
Ensuring accessibility for individuals with cognitive impairments is essential for autonomy, self-determination, and full citizenship. However, manual Easy-to-Read (ETR) text adaptations are slow, costly, and difficult to scale, limiting access to crucial information in healthcare, education, and civic life. AI-driven ETR generation offers a scalable solution but faces key challenges, including dataset scarcity, domain adaptation, and balancing lightweight learning of Large Language Models (LLM…

In Plato's allegory of the cave, so many people get hung up on the individuals who are chained at the back of the cave, and how those individuals are only seeing shadows of a reality outside their cave.
I keep coming back to the part where someone breaks free and then returns to try and free the ones in chains.
The ones in chains try to kill him rather than confront the reality they are avoiding.
They try to kill you if you insist on talking about the truth.
Fuck …

Michael and Susan Dell say they will deposit $250 in individual investment accounts for 25M kids, totaling $6.25B, comparing the gift to Dell's direct model (Nicholas Kulish/New York Times)
https://www.nytimes.com/2025/12/02/business/dell-children-trump-acco…

Michael and Susan Dell Pledge $6 Billion in Investment ‘Trump Accounts’ for Children
The tech billionaire and his wife hope other philanthropists follow their $6 billion lead in expanding the reach of soon-to-be-created “Trump accounts.”

terrorists_911: 9-11 terrorist network
Network of individuals and their known social associations, centered around the hijackers that carried out the September 11th, 2001 terrorist attacks. Associations extracted after-the-fact from public data. Metadata labels say which plane a person was on, if any, on 9/11.
This network has 62 nodes and 152 edges.
Tags: Social, Offline, Unweighted, Metadata

Computer scientists: The Turing test is a test of a machine's ability to exhibit intelligent behavior equivalent to that of a human.
Reality: The Turing test is a test of a human's ability not to be fooled by themselves that a machine is mimicking a human.
(Because the test uses a human to decide if something else is a human, it essentially explores the gullibility limit of an individual human—and says nothing about machine intelligence.)

sp_office: Workplace contacts (2013)
A temporal network of contacts between individuals, measured in an office building in France, from June 24 to July 3, 2013.
This network has 92 nodes and 9827 edges.
Tags: Social, Offline, Weighted, Temporal, Metadata
https://networks.skewed.de/net/sp_offi

escorts: Brazilian prostitution network (2010)
A bipartite network of escort and individuals who buy sex from them in Brazil, extracted from a Brazilian online community for such ratings. Edges represent a purchase of sexual intercourse with an escort, and the edge weight gives the buyer's rating of the escort: -1 (bad), 0 (neutral), or 1 (good). Other edge attributes are available. Edges are timestamped.
This network has 16730 nodes and 50632 edges.
Tags: Social, Publ…

escorts: Brazilian prostitution network (2010)
A bipartite network of escort and individuals who buy sex from them in Brazil, extracted from a Brazilian online community for such ratings. Edges represent a purchase of sexual intercourse with an escort, and the edge weight gives the buyer's rating of the escort: -1 (bad), 0 (neutral), or 1 (good). Other edge attributes are available. Edges are timestamped.
This network has 16730 nodes and 50632 edges.
Tags: Social, Publ…

sa_companies: South African companies (1919)
A bipartite network of the affiliations between a small group of individuals and five important companies in South African finance, around 1919.
This network has 11 nodes and 13 edges.
Tags: Social, Affiliation, Unweighted
https://networks.skewed.de/net/sa_comp

sa_companies: South African companies (1919)
A bipartite network of the affiliations between a small group of individuals and five important companies in South African finance, around 1919.
This network has 11 nodes and 13 edges.
Tags: Social, Affiliation, Unweighted
https://networks.skewed.de/net/sa_comp