TLDR-Vegan-Studies / README.md
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metadata
tags:
  - autotrain
  - summarization
language:
  - en
widget:
  - text: >-
      Positivity towards meat consumption remains strong, despite evidence of
      negative environmental and ethical outcomes. Although awareness of these
      repercussions is rising, there is still public resistance to removing meat
      from our diets. One potential method to alleviate these effects is to
      produce in vitro meat: meat grown in a laboratory that does not carry the
      same environmental or ethical concerns. However, there is limited research
      examining public attitudes towards in vitro meat, thus we know little
      about the capacity for it be accepted by consumers. This study aimed to
      examine perceptions of in vitro meat and identify potential barriers that
      might prevent engagement. Through conducting an online survey with US
      participants, we identified that although most respondents were willing to
      try in vitro meat, only one third were definitely or probably willing to
      eat in vitro meat regularly or as a replacement for farmed meat. Men were
      more receptive to it than women, as were politically liberal respondents
      compared with conservative ones. Vegetarians and vegans were more likely
      to perceive benefits compared to farmed meat, but they were less likely to
      want to try it than meat eaters. The main concerns were an anticipated
      high price, limited taste and appeal and a concern that the product was
      unnatural. It is concluded that people in the USA are likely to try in
      vitro meat, but few believed that it would replace farmed meat in their
      diet.
datasets:
  - vegancreativecompass/autotrain-data-scitldr-for-vegan-studies
co2_eq_emissions:
  emissions: 57.779835625872906

About This Model

This model has been trained to take abstracts of scientific studies about veganism & animal rights and turn them into single-sentence takeaways for vegan businesses and animal activists to apply to their activism. The dataset was curated by scraping TLDRs and abstracts from Semantic Scholar and having vegan activists and marketing professionals from VEG3 review the usefulness of a random sample of the dataset to ensure their relevance to vegan businesses and animal activists.

Model Trained Using AutoTrain

  • Problem type: Summarization
  • Model ID: 1923365100
  • CO2 Emissions (in grams): 57.7798

Validation Metrics

  • Loss: 0.711
  • Rouge1: 44.317
  • Rouge2: 30.335
  • RougeL: 41.369
  • RougeLsum: 41.198
  • Gen Len: 17.855

Usage

You can use cURL to access this model:

curl https://api-inference.huggingface.co/models/VEG3/TLDR-Vegan-Studies \
    -X POST \
    -d '{"inputs":"ABSTRACT"}' \
    -H "Authorization: Bearer YOURAPIKEY"