Dataset · Hugging Face

tri-fair-lab/captrack

Name: captrack
Creator: tri-fair-lab
License: apache-2.0
Keywords: task_categories:question-answering, task_categories:text-generation, task_categories:text-classification, task_categories:multiple-choice, task_categories:summarization, annotations_creators:expert-generated, annotations_creators:derived-from-existing-datasets, multilinguality:multilingual, source_datasets:mmlu-pro, source_datasets:gsm8k, source_datasets:mbpp, source_datasets:humaneval, source_datasets:math, source_datasets:supergpqa, source_datasets:hotpotqa

Dataset Card for CapTrack Dataset Summary CapTrack is a comprehensive evaluation suite designed to measure capability drift and forgetting in Large Language Models (LLMs). The dataset enables systematic assessment of model behavior across three complementary dimensions: CAN (Latent Competence): What a model is capable of doing under ideal prompting WILL (Default Behavioral Preferences): What a model chooses to do by default HOW (Protocol Compliance): How reliably a… See the full description on the dataset page: https://huggingface.co/datasets/tri-fair-lab/captrack.

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Author / organization	tri-fair-lab
License (as declared)	apache-2.0
Downloads	350 (as reported by Hugging Face)
Likes	2
Created	17 February 2026
Last updated at source	10 March 2026

evaluationbenchmarkingllm-evaluationcatastrophic-forgettingpost-trainingcontinual-learning

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