File size: 5,686 Bytes
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"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "3d87ca8d",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"aa\n"
]
}
],
"source": [
"print('aa')\n",
"# /usr/local/bin/python -m jupyter notebook --no-browser --port=8888\n",
"# /usr/local/bin/python\n",
"# 后台启动 Jupyter Server，不打开浏览器，指定端口\n",
"# /usr/local/bin/python -m jupyter server --no-browser --port=8888 \n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "6255246a",
"metadata": {},
"outputs": [],
"source": [
"import json\n",
"with open('/data/oss_bucket_0/liqi/dataset/embedding_pf/zhaoxiangsi_train.json',\"r\", encoding=\"utf-8\") as f:\n",
" data = json.load(f)\n",
"number_1 = 0\n",
"number_0 = 0\n",
"print(data[0].keys())\n",
"print(data[0])\n",
"print(data[1])\n",
"print(data[2])\n",
"number = 0\n",
"# for i in data:\n",
" # if i['label'] == '0':\n",
" # number += 1\n",
" # print(i)\n",
" # break\n",
" # if i['rn'] == '037a6b4e192533b2e0dc9ab3fb692806':\n",
" # number += 1\n",
" # if i['label'] == '0':\n",
" # number_0 += 1\n",
" # print(i)\n",
" # if i['label'] == '1':\n",
" # number_1 += 1\n",
" \n",
"print(number_0)\n",
"print(number_1)\n",
"print(number)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "0e5a8159",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0\n",
"1\n",
"2 sample: 6 6 10\n",
"3 sample: 9 9 4\n",
"4 sample: 5 5 10\n",
"5 sample: 10 10 6\n",
"6 sample: 10 10 4\n",
"7 sample: 2 2 14\n",
"8 sample: 10 10 2\n",
"9 sample: 10 10 6\n"
]
}
],
"source": [
"import json\n",
"with open('/data/oss_bucket_0/liqi/dataset/embedding_pf/zhaoxiangsi_train.json',\"r\", encoding=\"utf-8\") as f:\n",
" data = json.load(f)\n",
"for i in range(0,10):\n",
" prompt_list = data[i]['pos_prompts'].split('##')\n",
" pos_list = data[i]['pos_item_tfsids'].split('##')\n",
" neg_list = data[i]['neg_item_tfsids'].split('##')\n",
" if len(prompt_list) == len(pos_list) and len(prompt_list) == len(neg_list):\n",
" print(i)\n",
" else:\n",
" print(f\"{i} sample: {len(prompt_list)} {len(pos_list)} {len(neg_list)}\")"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "9e6501bd",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"193145\n"
]
}
],
"source": [
"import json\n",
"with open('/data/oss_bucket_0/liqi/dataset/embedding_pf/bianji_train.json',\"r\", encoding=\"utf-8\") as f:\n",
" data = json.load(f)\n",
"print(len(data))\n",
"# with open('/data/oss_bucket_0/liqi/dataset/embedding_pf/cot_output_new/dapei_train_cot.json',\"r\", encoding=\"utf-8\") as f:\n",
"# data2 = json.load(f)\n",
"# print(len(data2))"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "c55c3414",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"rn: 10_copy1\n",
"query_tfsid: O1CN01b1XDLi1ng65mWbXUm_!!4611686018427384350-0-imgsearch.jpg\n",
"query_bbox: 50 185 357 565\n",
"instruction: 要个带推杆的儿童三轮车\n",
"cot: 粉色儿童三轮车，配备黑色手推杆，紫色座椅带有浅绿色箭头图案，车身侧面设储物篮，适合1-3岁宝宝骑行。\n",
"prompt_index: 0\n",
"pos_item_tfsid: O1CN01e6SdyJ1zEPYnOJHvb_!!4611686018427385642-0-fleamarket.jpg\n",
"pos_item_title: 儿童三轮车脚踏车小孩轻便脚蹬自行车1-3-6岁宝宝手推滑行车\n",
"pos_item_bbox: 16 66 841 1184\n",
"neg_item_tfsid: O1CN01uY8GlQ1FZ34pNSBLB_!!2206509150500.jpg\n",
"neg_item_title: 儿童平衡滑步车1-3岁宝宝小孩学步6手推车三合一三轮溜娃神器骑行\n",
"neg_item_bbox: 50 49 764 653\n"
]
}
],
"source": [
"import json\n",
"with open('/data/oss_bucket_0/liqi/dataset/embedding_pf/cot_output_new/dapei_train_cot.json',\"r\", encoding=\"utf-8\") as f:\n",
" data2 = json.load(f)\n",
"print(len(data2))\n",
"# data = data2[0]\n",
"# for i in data.keys():\n",
"# print(f\"{i}: {data[i]}\")"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "5a649d5f",
"metadata": {},
"outputs": [],
"source": [
"\n",
"import json\n",
"with open('/data/oss_bucket_0/liqi/dataset/embedding_pf/bianji_test.json',\"r\", encoding=\"utf-8\") as f:\n",
" data2 = json.load(f)\n",
"new_data = data2[:200]\n",
"json.dump(new_data,open(\"./bianji_test_200.json\", \"w\", encoding=\"utf-8\"),ensure_ascii=False,indent=2)\n",
"# data = data2[0]\n",
"# for i in data.keys():\n",
"# print(f\"{i}: {data[i]}\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"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": "3.13.12"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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