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Runtime error
File size: 2,546 Bytes
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"from langchain.indexes import VectorstoreIndexCreator\n",
"from langchain.document_loaders.hugging_face_dataset import HuggingFaceDatasetLoader"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"dataset_name=\"tweet_eval\"\n",
"page_content_column=\"text\"\n",
"name=\"stance_climate\"\n",
"\n",
"\n",
"loader=HuggingFaceDatasetLoader(dataset_name,page_content_column,name)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/tutu/anaconda3/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
" from .autonotebook import tqdm as notebook_tqdm\n",
"Found cached dataset tweet_eval (/Users/tutu/.cache/huggingface/datasets/tweet_eval/stance_climate/1.1.0/12aee5282b8784f3e95459466db4cdf45c6bf49719c25cdb0743d71ed0410343)\n",
"100%|██████████| 3/3 [00:00<00:00, 301.87it/s]\n",
"Using embedded DuckDB without persistence: data will be transient\n"
]
}
],
"source": [
"index = VectorstoreIndexCreator().from_loaders([loader])"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"query = \"What are the most used hashtag?\"\n",
"result = index.query(query)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"' The most used hashtags in this context are #SemST, #TakeDownTheFlag, #LoveWins, #Sustainability, and #Environmental.'"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"result"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "base",
"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": "3.10.10"
},
"orig_nbformat": 4
},
"nbformat": 4,
"nbformat_minor": 2
}
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