Datasets:
Sub-tasks:
multi-class-classification
Languages:
English
Size:
1K<n<10K
Tags:
natural-language-understanding
ideology classification
text classification
natural language processing
License:
EricR401S
commited on
Commit
Β·
5606a6e
1
Parent(s):
69b0908
complete dataset
Browse files- Pill_Ideologies-Post_Titles.py +0 -12
- analysis.ipynb +56 -0
Pill_Ideologies-Post_Titles.py
CHANGED
@@ -177,18 +177,6 @@ class SubRedditPosts(datasets.GeneratorBasedBuilder):
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train, test_size=0.20, stratify=train["subreddit"], random_state=42
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)
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if self.config.name != "first_domain":
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": data,
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"split": "train",
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},
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)
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]
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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train, test_size=0.20, stratify=train["subreddit"], random_state=42
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)
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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analysis.ipynb
ADDED
@@ -0,0 +1,56 @@
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"c:\\Users\\ericr\\miniconda3\\envs\\sta663C\\Lib\\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",
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" from .autonotebook import tqdm as notebook_tqdm\n",
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"Downloading builder script: 100%|ββββββββββ| 12.7k/12.7k [00:00<00:00, 12.7MB/s]\n",
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"Generating train split: 100%|ββββββββββ| 5123/5123 [00:00<00:00, 7842.83 examples/s]\n",
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"Generating validation split: 100%|ββββββββββ| 1281/1281 [00:00<00:00, 5880.26 examples/s]\n",
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"Generating test split: 100%|ββββββββββ| 712/712 [00:00<00:00, 7775.46 examples/s]\n"
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]
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}
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],
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"source": [
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"import datasets\n",
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"\n",
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"test = datasets.load_dataset(\"steamcyclone/Pill_Ideologies-Post_Titles\", trust_remote_code=True)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "sta663C",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.7"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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