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| import argilla as rg | |
| from datasets import load_dataset | |
| client = rg.Argilla( | |
| api_url="https://ihssane123-my-argilla.hf.space", | |
| api_key="UJ-3ANbta5mlYiUgJJxWPtp7nr4mXd6wvXEgl2AVi4uEk1ChOdLAjtu1n1lNSYJEB2WylAFRXGvJe6m4cynzk_U4o1twaBP6Kapk85XZIZY", | |
| ) | |
| settings = rg.Settings( | |
| guidelines="Classify the reviews as positive or negative.", | |
| fields=[ | |
| rg.TextField( | |
| name="review", | |
| title="Text from the review", | |
| use_markdown=False, | |
| ), | |
| ], | |
| questions=[ | |
| rg.LabelQuestion( | |
| name="my_label", | |
| title="In which category does this article fit?", | |
| labels=["positive", "negative"], | |
| ) | |
| ], | |
| ) | |
| dataset = rg.Dataset( | |
| name=f"my_first_dataset", | |
| settings=settings, | |
| client=client, | |
| #workspace="argilla" | |
| ) | |
| dataset.create() | |
| data = load_dataset("imdb", split="train[:100]").to_list() | |
| dataset.records.log(records=data, mapping={"text": "review"}) |