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2018-11-08-OpenPsychometrics-IPIP-FFM

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Racoci commited on
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1 Parent(s): 1038c33

Update tests.

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  1. tests.ipynb +504 -73
tests.ipynb CHANGED
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  {
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- "nbformat": 4,
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- "nbformat_minor": 0,
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- "metadata": {
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- "colab": {
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- "provenance": []
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- "kernelspec": {
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- "name": "python3",
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- "display_name": "Python 3"
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- "language_info": {
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- }
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- },
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  "cells": [
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  {
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  "cell_type": "code",
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- "source": [
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- "!pip install -U datasets huggingface_hub fsspec"
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- ],
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  "metadata": {
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  "colab": {
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  "base_uri": "https://localhost:8080/"
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  }
 
 
 
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  },
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  "cell_type": "markdown",
 
 
 
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  "source": [
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  "### 📥 Step 1: Preprocess the Data\n",
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  "\n",
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  "Since the dataset is hosted on Hugging Face, you can load it directly using the `load_dataset` function."
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- "id": "edF1DuNE6nSg"
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  "source": [
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- "import numpy as np\n",
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  "import pandas as pd\n",
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  "from datasets import load_dataset\n",
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  "\n",
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  "# Convert to a pandas DataFrame for easier manipulation\n",
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  "df = pd.DataFrame(dataset[\"train\"])\n",
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  "df"
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+ "Using cached xxhash-3.5.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (194 kB)\n",
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+ "Installing collected packages: pytz, xxhash, urllib3, tzdata, typing-extensions, tqdm, pyyaml, pyarrow, propcache, numpy, multidict, idna, hf-xet, fsspec, frozenlist, filelock, dill, charset_normalizer, certifi, attrs, aiohappyeyeballs, yarl, requests, pandas, multiprocess, aiosignal, huggingface_hub, aiohttp, datasets\n",
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+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m29/29\u001b[0m [datasets]/29\u001b[0m [datasets]ce_hub]]\n",
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+ "\u001b[1A\u001b[2KSuccessfully installed aiohappyeyeballs-2.6.1 aiohttp-3.12.12 aiosignal-1.3.2 attrs-25.3.0 certifi-2025.4.26 charset_normalizer-3.4.2 datasets-3.6.0 dill-0.3.8 filelock-3.18.0 frozenlist-1.7.0 fsspec-2025.3.0 hf-xet-1.1.3 huggingface_hub-0.33.0 idna-3.10 multidict-6.4.4 multiprocess-0.70.16 numpy-2.3.0 pandas-2.3.0 propcache-0.3.2 pyarrow-20.0.0 pytz-2025.2 pyyaml-6.0.2 requests-2.32.4 tqdm-4.67.1 typing-extensions-4.14.0 tzdata-2025.2 urllib3-2.4.0 xxhash-3.5.0 yarl-1.20.1\n"
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  ]
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  }
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+ ],
116
+ "source": [
117
+ "!pip install -U datasets huggingface_hub fsspec"
118
  ]
119
  },
120
  {
121
  "cell_type": "markdown",
122
+ "metadata": {
123
+ "id": "edF1DuNE6nSg"
124
+ },
125
  "source": [
126
  "### 📥 Step 1: Preprocess the Data\n",
127
  "\n",
128
  "Since the dataset is hosted on Hugging Face, you can load it directly using the `load_dataset` function."
129
+ ]
 
 
 
130
  },
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  {
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  "cell_type": "code",
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+ "execution_count": 3,
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+ "id": "HmHDx6cU7WRG"
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137
+ "outputs": [
138
+ {
139
+ "name": "stderr",
140
+ "output_type": "stream",
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+ "/home/escher/Projects/OpenPsychometrics/2018-11-08-IPIP-FFM-data/2018-11-08-OpenPsychometrics-IPIP-FFM/.venv/lib/python3.13/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",
143
+ " from .autonotebook import tqdm as notebook_tqdm\n",
144
+ "Generating train split: 100%|██████████| 609204/609204 [00:00<00:00, 781185.05 examples/s]\n",
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+ "Generating validation split: 100%|██████████| 203068/203068 [00:00<00:00, 842451.01 examples/s]\n",
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+ "Generating test split: 100%|██████████| 203069/203069 [00:00<00:00, 769756.37 examples/s]\n"
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511
  "source": [
 
512
  "import pandas as pd\n",
513
  "from datasets import load_dataset\n",
514
  "\n",
 
518
  "# Convert to a pandas DataFrame for easier manipulation\n",
519
  "df = pd.DataFrame(dataset[\"train\"])\n",
520
  "df"
521
+ ]
522
+ }
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+ "language": "python",
531
+ "name": "python3"
532
+ },
533
+ "language_info": {
534
+ "codemirror_mode": {
535
+ "name": "ipython",
536
+ "version": 3
537
  },
538
+ "file_extension": ".py",
539
+ "mimetype": "text/x-python",
540
+ "name": "python",
541
+ "nbconvert_exporter": "python",
542
+ "pygments_lexer": "ipython3",
543
+ "version": "3.13.3"
544
  }
545
+ },
546
+ "nbformat": 4,
547
+ "nbformat_minor": 0
548
+ }