language:
- en
license: mit
tags:
- infinite-dataset-hub
- synthetic
AnimalAlliesAlgorithm
tags: vegan advocacy, efficacy prediction, animal rights
Note: This is an AI-generated dataset so its content may be inaccurate or false
Dataset Description:
The 'AnimalAlliesAlgorithm' dataset is a curated collection of textual data aimed at understanding the various dimensions of vegan advocacy. It encompasses a range of content, including advocacy campaigns, personal testimonies, scientific studies, and policy discussions related to animal rights and veganism. Each entry has been carefully labeled to reflect its primary focus within the realm of vegan advocacy, from awareness-raising to promoting policy change.
CSV Content Preview:
id,text,label
001,"The Vegan Society's recent campaign highlighted the environmental benefits of a plant-based diet.",Awareness
002,"An interview with a renowned vegan chef discussing the moral imperative of veganism.",PersonalTestimony
003,"A scientific study on the impact of factory farming on local wildlife populations.",ImpactStudy
004,"A blog post from a legislator advocating for stricter animal welfare laws.",PolicyChange
005,"Vegan bloggers collaborating to share recipes and tips for a cruelty-free lifestyle.",CommunitySupport
Source of the data:
The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query 'vegan advocacy':
- Dataset Generation Page: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=vegan+advocacy&dataset=AnimalAlliesAlgorithm&tags=vegan+advocacy,+efficacy+prediction,+animal+rights
- Model: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- More Datasets: https://huggingface.co/datasets?other=infinite-dataset-hub