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Untitled.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "b09afbb1-cb88-4ba3-95c8-eba0b484456e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Hello Argilla\n"
+     ]
+    }
+   ],
+   "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_setfit\", 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
+}