Field of study pytorch model is a finetuned version of allenai/scibert_scivocab_uncased.

Data for finetuning was harvested utlizing OpenAI models using following prompt:

```
def prompt_with_journal(title, abstract, journal_name):
    message = [
        {"role": "system", "content": "You are a highly intelligent and accurate information extraction system. You take title, abstract, journal name of a \
         scientific article as input and your task is to classify the scientific field of study of the passage.",
         "role": "user", "content": "You need to classify it with key: 'field_of_study' assign as many 'field_of_study' as you find it fit: \
    'Agricultural and Food sciences', \
    'Art', \
    'Biology',\
    'Business',\
    'Chemistry',\
    'Computer science',\
    'Economics',\
    'Education',\
    'Engineering',\
    'Environmental science',\
    'Geography',\
    'Geology',\
    'History',\
    'Law',\
    'Linguistics',\
    'Materials science',\
    'Mathematics',\
    'Medicine',\
    'Philosophy',\
    'Physics',\
    'Political science',\
    'Psychology',\
    'Sociology'\
    Only select from the above list, or 'Other'."},
      
    {"role": "assistant", 
     "content": ("```python \n"
                 f"title = { title } \n"
                 f"abstract = { abstract }\n"
                 f"journal_name = { journal_name }\n"
                  "{'field_of_study': ["
    )},]
    return message
```
{"pipeline_tag": "text-classification", "extra_gated_prompt": "**AI2 ImpACT License \u2013 Low Risk Artifacts (LR Agreement)** [https://allenai.org/impact-license](https://allenai.org/impact-license)", "extra_gated_fields": {"Name": "text", "Organization/Entity": "text", "Email": "text", "State/Country": "text", "Intended Use": "text", "I AGREE to the terms and conditions of the LR Agreement above": "checkbox", "I AGREE to AI2\u2019s use of my information for legal notices and administrative matters": "checkbox", "I CERTIFY that the information I have provided is true and accurate": "checkbox"}}
transformers pytorch bert text-classification autotrain_compatible endpoints_compatible has_space region:us