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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/data/pufanyi/anaconda3/anacondabin/envs/live_bench/lib/python3.12/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"
]
}
],
"source": [
"import datasets\n",
"import pandas as pd"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"data = datasets.load_dataset(\"lmms-lab/LiveBench\", \"2024-09\", split=\"test\")\n",
"\n",
"\n",
"def get():\n",
" for item in data:\n",
" if item[\"subtask\"] == \"Concrete Recognition\":\n",
" item[\"subtask\"] = \"Concrete Recognition\"\n",
" yield item"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Generating train split: 200 examples [01:38, 2.03 examples/s]\n"
]
}
],
"source": [
"new_data = datasets.Dataset.from_generator(get, features=data.features)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Map: 100%|██████████| 200/200 [00:00<00:00, 364.40 examples/s]it/s]\n",
"Creating parquet from Arrow format: 100%|██████████| 2/2 [00:00<00:00, 3.45ba/s]\n",
"Uploading the dataset shards: 100%|██████████| 1/1 [00:17<00:00, 17.75s/it]\n"
]
},
{
"data": {
"text/plain": [
"CommitInfo(commit_url='https://huggingface.co/datasets/lmms-lab/LiveBench/commit/e8be87798d7db2e22ee3b5aeedf16e2a460ac7b3', commit_message='Upload dataset', commit_description='', oid='e8be87798d7db2e22ee3b5aeedf16e2a460ac7b3', pr_url=None, repo_url=RepoUrl('https://huggingface.co/datasets/lmms-lab/LiveBench', endpoint='https://huggingface.co', repo_type='dataset', repo_id='lmms-lab/LiveBench'), pr_revision=None, pr_num=None)"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"new_data.push_to_hub(\"lmms-lab/LiveBench\", \"2024-09\", split=\"test\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "live_bench",
"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": "3.12.7"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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