addiction
llm-addiction
LLM Addiction Research Dataset
Behavioral and neural data from experiments studying gambling-like behaviors in Large Language Models.
Paper: "Can Large Language Models Develop Gambling Addiction?" — NeurIPS 2026 (submission 24231), camera-ready
Authors: Seungpil Lee, Donghyeon Shin, Yunjeong Lee, Sundong Kim (GIST)
Code: github.com/iamseungpil/llm-addiction
Quick Links
Paper → file map: sae_v3_analysis/results/reports/paper_asset_manifest.md (every claim → exact… See the full description on the dataset page: https://huggingface.co/datasets/llm-addiction-research/llm-addiction.Prediction-Smartphone-Addiction-Submission-V2Here's the enhanced version, honest summary of what actually moved the needle:
What improved it:
Feature engineering was the real driver: missingness indicators for every column (missingness itself carries signal here), plus ratio/interaction features like social_to_screen, sleep_deficit, weekday_weekend_diff, screen_per_age, etc.
LightGBM with these new features: OOF AUC 0.9628 (up from 0.9620).
Result:
submission_v2.csv, same valid format (296,302 rows… See the full description on the dataset page: https://huggingface.co/datasets/Qamro/Prediction-Smartphone-Addiction-Submission-V2.well_being_for_addictionAddiction_Stories
Addiction Stories Dataset
Table of Content
Dataset Description
Dataset Summary
Professional Warning
Uses
Languages
Dataset Structure
Data Fields
Data Splits
Dataset Creation
Data Collection and Processing
Annotation
Objective Task
Subjective TaskAnnotation Process
Annotation Aggregation
Annotation Distribution
Dataset Description
Dataset Summary
The dataset consists of 491 personal addiction stories, where individuals shared details about… See the full description on the dataset page: https://huggingface.co/datasets/KerenHaruvi/Addiction_Stories.Video-Games-Behavioral-Addiction-DatasetPrediction-Smartphone-Addiction-Submission-in-Kaggle
📱 Prediction Smartphone Addiction - Competition Submission in Kaggle
This dataset contains the data and/or prediction results used for a Kaggle competition related to smartphone addiction prediction.
The project focuses on analyzing smartphone usage and related behavioral or demographic features to build machine learning models capable of predicting smartphone addiction levels.
🎯 Project Overview
Smartphone usage has become an important part of everyday life.… See the full description on the dataset page: https://huggingface.co/datasets/Qamro/Prediction-Smartphone-Addiction-Submission-in-Kaggle.