HuggingFaceFW/fineweb
FineWeb is a dataset of over 15 trillion tokens of cleaned and deduplicated English web data from CommonCrawl. It is optimized for LLM performance and processed using the datatrove library. The dataset aims to provide high-quality data for training large language models and outperforms other commonly used web datasets.We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Introdução Detalhada
FineWeb is a large-scale dataset designed to provide high-quality web data for training large language models. It includes over 15 trillion tokens of cleaned and deduplicated English web data from CommonCrawl. The dataset is processed using the datatrove library and is optimized for LLM performance. It outperforms other commonly used web datasets in benchmark tasks.
MaisConjunto de Dados
Psychology Therapy Dataset- halilxibrahim/psychology-therapy
Dataset Card for Psychology Therapy Dataset : This dataset card aims to provide information about a dataset focused on psychology therapy conversations. Language(s) (NLP): Turkish (tr)
Mental Health in Tech Survey
This dataset contains survey responses from individuals in the tech industry about their mental health, including questions about treatment, workplace resources, and attitudes towards discussing mental health in the workplace. By analyzing this dataset, we can better understand how prevalent mental health issues are among those who work in the tech sector—and what kinds of resources they rely upon to find help—so that more can be done to create a healthier working environment for all.
Cam-CAN Data Access Portal | Cambridge Centre for Ageing and Neuroscience (Cam-CAN) | University of Cambridge
The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) uses epidemiological, behavioral, and neuroimaging data to understand how individuals can best retain cognitive abilities into old age. The Cam-CAN Data Access Portal provides access to datasets from the Cambridge Centre for Ageing and Neuroscience, including neuroimaging and cognitive data from participants aged 18-90.