{ "cells": [ { "cell_type": "code", "execution_count": 14, "id": "b09afbb1-cb88-4ba3-95c8-eba0b484456e", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ ] } ], "source": [ "import argilla as rg\n", "from datasets import load_dataset\n", "\n", "# You can find your Space URL behind the Embed this space button\n", "# Change it\n", "rg.init(\n", " api_url=\"https://saroj502-uat.hf.space\", \n", " api_key=\"12345678\"\n", ")\n", "\n", "banking_ds = load_dataset(\"argilla/banking_sentiment\", split=\"train\")\n", "\n", "# Argilla expects labels in the annotation column\n", "banking_ds = banking_ds.rename_column(\"label\", \"annotation\")\n", "\n", "# Build argilla dataset from datasets\n", "argilla_ds = rg.read_datasets(banking_ds, task=\"TextClassification\")\n", "\n", "rg.log(argilla_ds, \"banking_sentiment\")" ] }, { "cell_type": "code", "execution_count": null, "id": "9226f05b-1a03-45b8-af4d-2fc031514bc3", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.17" } }, "nbformat": 4, "nbformat_minor": 5 }