main.ipynb•2.97 kB
{
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"cell_type": "code",
"source": [
"# if you want to make a figure about it, you should install matplotlib.\n",
"# !uv pip install matplotlib"
],
"id": "a0713a5ab359ed99",
"outputs": [],
"execution_count": 1
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"cell_type": "code",
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},
"source": [
"import pandas as pd\n",
"from matplotlib import pyplot as plt\n"
],
"outputs": [],
"execution_count": 2
},
{
"metadata": {
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"end_time": "2025-08-31T09:29:25.542219Z",
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"cell_type": "code",
"source": [
"# Load datasets\n",
"df = pd.read_parquet(\"hf://datasets/open-llm-leaderboard/contents@main/data/train-00000-of-00001.parquet\")\n"
],
"id": "66afc8b4a318545a",
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{
"name": "stderr",
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"text": [
"/Users/sepinetam/Documents/Github/stata-mcp/.venv/lib/python3.11/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"
]
}
],
"execution_count": 3
},
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"end_time": "2025-08-31T09:29:28.907175Z",
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"cell_type": "code",
"source": [
"# Process date type in data\n",
"df['Upload to Hub Date'] = pd.to_datetime(df['Submission Date'])\n"
],
"id": "e5274e3736cbb2b5",
"outputs": [],
"execution_count": 4
},
{
"metadata": {},
"cell_type": "code",
"source": [
"# Set plot style\n",
"plt.style.use(\"ggplot\")\n",
"plt.figure(figsize=(12, 6))\n",
"\n",
"# Plot\n",
"plt.scatter(df[\"Upload to Hub Date\"], df[\"Average ⬆\\uFE0F\"])\n",
"plt.title(\"The Average Ability of LLMs\")\n",
"plt.xlabel(\"Upload Date\")\n",
"plt.ylabel(\"LLMs' Average Score\")\n",
"plt.gcf().autofmt_xdate()\n",
"\n",
"# Save figure\n",
"plt.savefig(\"./ability.png\")\n"
],
"id": "fc32b8df08eccdf6",
"outputs": [],
"execution_count": null
}
],
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