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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
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"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
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