bsc_spanish_legal_non_annotated.py

#First create the dataset

import argilla as rg

client = rg.Argilla(
    api_url="https://javierbarbaesparcia-spanish-legal-ner.hf.space",
    api_key="apikey", #For security reasons, it has been ofuscated
)

settings = rg.Settings(
    guidelines="These are some guidelines.",
    fields=[
        rg.TextField(
            name="law_cont"
        ),
    ],
    questions=[
        rg.SpanQuestion(
            field="law_cont",
            name="label",
            labels={
        "PERSON": "Person",
        "ORG": "Organization",
        "LOC": "Location",
        "DATE": "Date",
        "REF": "Reference"
         }
        ),
        rg.MultiLabelQuestion(
            name="label_multi",
            labels={
        "RIGHT": "Right",
        "DUTY": "Duty",
        "SANC": "Sanction"
         }
        )
    ],
    metadata=[
        rg.TermsMetadataProperty(
             name="content",
             title="Content",
             visible_for_annotators="true"
        ),
        rg.TermsMetadataProperty(
             name="author",
             title="Author",
             visible_for_annotators="true"
        ),
    ]
)

dataset = rg.Dataset(
    name="bsc_spanish_legal",
    settings=settings,
)

dataset.create()

#Then record data

import argilla as rg

client = rg.Argilla(
    api_url="https://javierbarbaesparcia-spanish-legal-ner.hf.space",
    api_key="apikey", #For security resasons it has been ofuscated
)
dataset=client.datasets("javierbarbaesparcia/bsc_spanish_legal_non_annotated")
f=open("archive.txt") #The archive list is available at https://https://zenodo.org/records/5495529#.Y205lpHMKV5


for line in f:

   if line != "\n":
       record = [rg.Record(
            fields={
                "law_cont": line,
            },
            metadata={
                 "content": "Abogacía del Estado",
                 "author": "Asier Gutiérrez-Fandiño and Jordi Armengol-Estapé and Aitor Gonzalez-Agirre and Marta Villegas",

            },
       )
       ]
       
       dataset.records.log(record)