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"metadata": { + "id": "9LrNllwDhJa3" + }, + "outputs": [], + "source": [ + "import pandas as pd\n", + "\n", + "df_corpus = pd.read_json(\"hf://datasets/mteb/quora/corpus.jsonl\", lines=True)\n", + "\n", + "df_queries = pd.read_json(\"hf://datasets/mteb/quora/queries.jsonl\", lines=True)\n", + "\n", + "splits = {'dev': 'qrels/dev.jsonl', 'test': 'qrels/test.jsonl'}\n", + "df_qrels_dev = pd.read_json(\"hf://datasets/mteb/quora/\" + splits[\"dev\"], lines=True)\n", + "df_qrels_test = pd.read_json(\"hf://datasets/mteb/quora/\" + splits[\"test\"], lines=True)" + ] + }, + { + "cell_type": "markdown", + "source": [ + "## 数据集分析" + ], + "metadata": { + "id": "IPAFU4S7iZVR" + } + }, + { + "cell_type": "code", + "source": [ + "df_queries" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 423 + }, + "id": "CCCjxOkyid8T", + "outputId": "3d2d4b4e-815a-405f-b407-b5ae7f42ebcb" + }, + "execution_count": 7, + "outputs": [ + { + "output_type": "execute_result", + 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13783771Is it possible to pursue many different things...How do I refuse to chose between different thi...
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33793801No fanboys please, but who was the true batman...Did Ben Affleck shine more than Christian Bale...
4379456461Who do you think portrayed Batman better: Chri...Did Ben Affleck shine more than Christian Bale...
..................
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232985377305377291How can someone get more Facebook friends?How do I get more friends on Facebook?
232995377935377921Can I take my 14 year old son to the Global Ci...Can I take my 14 year old son to the Global Ci...
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What is the cause o... \n", + "7633 What do you think causes bad dreams? \n", + "7634 Why do we have bad dreams? \n", + "7635 What causes nightmares that seem real? \n", + "\n", + " query \n", + "7629 What causes a nightmare? \n", + "7630 What causes a nightmare? \n", + "7631 What causes a nightmare? \n", + "7632 What causes a nightmare? \n", + "7633 What causes a nightmare? \n", + "7634 What causes a nightmare? \n", + "7635 What causes a nightmare? \n", + "7\n", + "\n", + "3449\n", + "3\n", + " query-id corpus-id score \\\n", + "7629 187 144864 1 \n", + "7630 187 202157 1 \n", + "7631 187 68733 1 \n", + "7632 187 68732 1 \n", + "7633 187 394711 1 \n", + "7634 187 394712 1 \n", + "7635 187 188 1 \n", + "\n", + " corpus \\\n", + "7629 Why do I have nightmares? \n", + "7630 Why do we get Nightmares? \n", + "7631 What are the main causes of nightmares? \n", + "7632 Why do we have nightmares? What is the cause o... \n", + "7633 What do you think causes bad dreams? \n", + "7634 Why do we have bad dreams? \n", + "7635 What causes nightmares that seem real? \n", + "\n", + " query \n", + "7629 What causes a nightmare? \n", + "7630 What causes a nightmare? \n", + "7631 What causes a nightmare? \n", + "7632 What causes a nightmare? \n", + "7633 What causes a nightmare? \n", + "7634 What causes a nightmare? \n", + "7635 What causes a nightmare? \n", + "7\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "\n", + "print(name_group_list_filter[1])" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "aDdHoaLuPqNv", + "outputId": "010f849d-6da5-4e4d-cd01-c95f628b8ae6" + }, + "execution_count": 40, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "(187, query-id corpus-id score \\\n", + "7629 187 144864 1 \n", + "7630 187 202157 1 \n", + "7631 187 68733 1 \n", + "7632 187 68732 1 \n", + "7633 187 394711 1 \n", + "7634 187 394712 1 \n", + "7635 187 188 1 \n", + "\n", + " corpus \\\n", + "7629 Why do I have nightmares? \n", + "7630 Why do we get Nightmares? \n", + "7631 What are the main causes of nightmares? \n", + "7632 Why do we have nightmares? What is the cause o... \n", + "7633 What do you think causes bad dreams? \n", + "7634 Why do we have bad dreams? \n", + "7635 What causes nightmares that seem real? \n", + "\n", + " query \n", + "7629 What causes a nightmare? \n", + "7630 What causes a nightmare? \n", + "7631 What causes a nightmare? \n", + "7632 What causes a nightmare? \n", + "7633 What causes a nightmare? \n", + "7634 What causes a nightmare? \n", + "7635 What causes a nightmare? )\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "name_group_list_filter[0][1]['corpus'].tolist()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "1Z069tvwTjGx", + "outputId": "7be20304-7b68-45bc-8797-e6a0867b848f" + }, + "execution_count": 45, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "['What are good questions to ask on Quora?',\n", + " 'Why should I ask Quora?',\n", + " \"What's the best question to ask in Quora?\"]" + ] + }, + "metadata": {}, + "execution_count": 45 + } + ] + }, + { + "cell_type": "code", + "source": [ + "def handle(row):\n", + " # query_id = row[0]\n", + " cond = row[1]['query'].tolist()[0]\n", + " group = row[1]['corpus'].tolist()\n", + " return (cond, group)\n", + "\n", + "\n", + "# print(handle({\"_id\":\"dev_query1\", \"text\":\"生产过后怎么还有一层肚子\"}))\n" + ], + "metadata": { + "id": "AUsrAjm1kEyP" + }, + "execution_count": 47, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "result = list(map(handle, name_group_list_filter))" + ], + "metadata": { + "id": "Dukd3NpYkWvh" + }, + "execution_count": 48, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "result_df = pd.DataFrame(result, columns=['condition', 'group'])\n", + "result_df" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 423 + }, + "id": "4G-HkzOzknsE", + "outputId": "daf69d64-e95e-425c-a7c8-a079cc80405d" + }, + "execution_count": 50, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + " condition \\\n", + "0 Which question should I ask on Quora? \n", + "1 What causes a nightmare? \n", + "2 If I do not monetize YouTube videos & upload c... \n", + "3 Did Ben Affleck shine more than Christian Bale... \n", + "4 What are the effects of demonitization of 500 ... \n", + "... ... \n", + "3444 Who invented the bra? \n", + "3445 What are the ways that India and Pakistan can ... \n", + "3446 Can the president replace the vice president w... \n", + "3447 Why do golf Ball have dimple? \n", + "3448 What is natural selection? 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3445What are the ways that India and Pakistan can ...[How can there be everlasting peace between In...
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[ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Collecting datasets\n", + " Downloading datasets-3.5.0-py3-none-any.whl.metadata (19 kB)\n", + "Requirement already satisfied: filelock in /usr/local/lib/python3.11/dist-packages (from datasets) (3.18.0)\n", + "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.11/dist-packages (from datasets) (2.0.2)\n", + "Requirement already satisfied: pyarrow>=15.0.0 in /usr/local/lib/python3.11/dist-packages (from datasets) (18.1.0)\n", + "Collecting dill<0.3.9,>=0.3.0 (from datasets)\n", + " Downloading dill-0.3.8-py3-none-any.whl.metadata (10 kB)\n", + "Requirement already satisfied: pandas in /usr/local/lib/python3.11/dist-packages (from datasets) (2.2.2)\n", + "Requirement already satisfied: requests>=2.32.2 in /usr/local/lib/python3.11/dist-packages (from datasets) (2.32.3)\n", + "Requirement already satisfied: tqdm>=4.66.3 in /usr/local/lib/python3.11/dist-packages (from datasets) (4.67.1)\n", + "Collecting 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This behaviour is the source of the following dependency conflicts.\n", + "torch 2.6.0+cu124 requires nvidia-cublas-cu12==12.4.5.8; platform_system == \"Linux\" and platform_machine == \"x86_64\", but you have nvidia-cublas-cu12 12.5.3.2 which is incompatible.\n", + "torch 2.6.0+cu124 requires nvidia-cuda-cupti-cu12==12.4.127; platform_system == \"Linux\" and platform_machine == \"x86_64\", but you have nvidia-cuda-cupti-cu12 12.5.82 which is incompatible.\n", + "torch 2.6.0+cu124 requires nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == \"Linux\" and platform_machine == \"x86_64\", but you have nvidia-cuda-nvrtc-cu12 12.5.82 which is incompatible.\n", + "torch 2.6.0+cu124 requires nvidia-cuda-runtime-cu12==12.4.127; platform_system == \"Linux\" and platform_machine == \"x86_64\", but you have nvidia-cuda-runtime-cu12 12.5.82 which is incompatible.\n", + "torch 2.6.0+cu124 requires nvidia-cudnn-cu12==9.1.0.70; platform_system == \"Linux\" and platform_machine == \"x86_64\", but you have nvidia-cudnn-cu12 9.3.0.75 which is incompatible.\n", + "torch 2.6.0+cu124 requires nvidia-cufft-cu12==11.2.1.3; platform_system == \"Linux\" and platform_machine == \"x86_64\", but you have nvidia-cufft-cu12 11.2.3.61 which is incompatible.\n", + "torch 2.6.0+cu124 requires nvidia-curand-cu12==10.3.5.147; platform_system == \"Linux\" and platform_machine == \"x86_64\", but you have nvidia-curand-cu12 10.3.6.82 which is incompatible.\n", + "torch 2.6.0+cu124 requires nvidia-cusolver-cu12==11.6.1.9; platform_system == \"Linux\" and platform_machine == \"x86_64\", but you have nvidia-cusolver-cu12 11.6.3.83 which is incompatible.\n", + "torch 2.6.0+cu124 requires nvidia-cusparse-cu12==12.3.1.170; platform_system == \"Linux\" and platform_machine == \"x86_64\", but you have nvidia-cusparse-cu12 12.5.1.3 which is incompatible.\n", + "torch 2.6.0+cu124 requires nvidia-nvjitlink-cu12==12.4.127; platform_system == \"Linux\" and platform_machine == \"x86_64\", but you have nvidia-nvjitlink-cu12 12.5.82 which is incompatible.\n", + "gcsfs 2025.3.2 requires fsspec==2025.3.2, but you have fsspec 2024.12.0 which is incompatible.\u001b[0m\u001b[31m\n", + "\u001b[0mSuccessfully installed datasets-3.5.0 dill-0.3.8 fsspec-2024.12.0 multiprocess-0.70.16 xxhash-3.5.0\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "from datasets import Dataset, DatasetDict\n", + "from sklearn.model_selection import train_test_split\n", + "from huggingface_hub import login, create_repo" + ], + "metadata": { + "id": "ANvThSSyxt61" + }, + "execution_count": 53, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# 转换为Hugging Face Dataset\n", + "dataset = Dataset.from_pandas(result_df)\n", + "\n", + "# 划分数据集\n", + "# 首先划分训练集和临时集 (80% train, 20% temp)\n", + "train_df, temp_df = train_test_split(result_df, test_size=0.2, random_state=42)\n", + "\n", + "# 然后从临时集中划分验证集和测试集 (50% dev, 50% test)\n", + "dev_df, test_df = train_test_split(temp_df, test_size=0.5, random_state=42)\n", + "\n", + "# 转换为Dataset对象\n", + "train_dataset = Dataset.from_pandas(train_df)\n", + "dev_dataset = Dataset.from_pandas(dev_df)\n", + "test_dataset = Dataset.from_pandas(test_df)\n", + "\n", + "# 创建DatasetDict\n", + "dataset_dict = DatasetDict({\n", + " \"train\": train_dataset,\n", + " \"validation\": dev_dataset,\n", + " \"test\": test_dataset\n", + "})\n" + ], + "metadata": { + "id": "bmlXZD19TRDY" + }, + "execution_count": 54, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "from google.colab import userdata\n", + "userdata.get('HF_TOKEN')\n", + "\n", + "login(token=userdata.get('HF_TOKEN'))\n", + "\n", + "# 创建数据集仓库\n", + "repo_id = \"bcai001/c-sts-quora-query-as-condition-group-as-pos\" # 例如: \"johnsmith/sentiment-analysis-data\"\n", + "create_repo(repo_id, repo_type=\"dataset\", exist_ok=True)\n", + "\n", + "# 上传数据集\n", + "dataset_dict.push_to_hub(repo_id, private=True)\n", + "\n", + "print(f\"Dataset uploaded to: https://huggingface.co/datasets/{repo_id}\")\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 227, + "referenced_widgets": [ + "7ce78fce0aa14620a60fa553c97ee723", + "f8ab6683e0a54815a3d046a6e58f632c", + "c248c1f8fa0c4d5eac09aaa33a96ee5e", + "2a16b1fe34dd4048984f8e8aa8f3c2a5", + "05a5f598e0a74dfd8ad8b58c0cbde79b", + "433452b427e340ccbd845b42a6e7b242", + "00570ed4b9c444a2bb2462ccbc5fb288", + "b3115523544648ecaed834b83cbed5d9", + "1c0bc022b6a341d7aeecc2fc8381a5af", + "2b60380ca15c49cbbefa69339ef3ab6a", + "f37c9e5a5e8c4462b37108bd6ab839eb", + "aa0db46a83e24d178cbb895aa75d64f1", + "33bc7d72ed38408883ace782a06925f5", + "85566cfa2ec94299892122ff510d03a3", + "afffea43fb674d5a8914f0f8e4eafe54", + "c339898d18fa4e26a8ee4f1c6a65f852", + "6152e5539ecc4f1da06b2af7b0d089fe", + "9d9ed88968554aea896a58803d4027d3", + "9076d4ac0d8e421a89126b55dcd96bb1", + "d9177d1445134cfa86f8073e1eb18ce0", + "ffe646ebf5eb48f18459060a41476080", + "d4ad33fa22974e8cb667de54fc6fdc1b", + "bd2c2d08157244bda13921d6516d61ad", + "f85e71053b1f49e6ba271e8205956a49", + "2242388fb33d4b20a52f3182ee6438b4", + "78c262c3e9af47099fc9684904a8bffb", + "16c674864afc4c278c409801e8697c9e", + "49e239afd0ee405e8f54f1dbf4848d56", + "d5ca61aca1ea49e195bf6b65c159b813", + "a77579e50bad44e89064e20b77f6d9c8", + "6a409e74995244649c92dd7acbeb3f50", + "1b0baac01b894dd9b4bf0b2c0a9740ed", + "37999fd948e642c2af98e6020327d082", + "0cff935ffb2743b6bed569a4f4f393e0", + "c6d65efc78cf473b990daf11159dd4c0", + "ac544844e3964f4bba14b195b69e5406", + "dd4c910baed347a39b7ffc94b0ffc856", + "768c17c8f789489b9952de7593d30705", + "fc3e5772486c42859973f3e25ee2d828", + "12a568bb8133479e9f84791660b335c3", + "4734681a45f549e79e09eb9b5e4b0f9b", + "c6bfefed0f1e49e4aff202c484bded0a", + "76d86e530c2248b69f1e1a9306ee37d2", + "fa9cd5e2cd6d4560afe96dc3df3ee595", + "5995e30272f246bdb82c4c018145e6ed", + "ee93dc8e5e5243af8fcd58b7f8f406ce", + "52bc3f36e6e2416c8c3286cadd8f108d", + "17bbdb14f1db4a329d2fd6529d19876b", + "c0607941f0284eb3ba36ed2c12795d3a", + "a57742af98a04da2968413cea64fd023", + "4fec072ec1344f5886b5016dd614be32", + "10d444226a4240c088f0e97e28c27e4a", + "ba81b8435d214280ba6305dbee60c70d", + "405f047617c346808b18452a1318d14b", + "ad90f1ef273c4dda8cf35108a13cdf6d", + "7ede365033a746ba83be95a8043ff54c", + "c2f32106ce304990b6f2454da926d913", + "a93706f5106045ccbd04397d450d84af", + "a59b5b2541a846669119dc986df5e5f1", + "f60abed2dd6541c283c1702c0ac83b2a", + "392b4a60fc2e408f90d00e88465b0b47", + "45ab552de57d49d3b541f1eb975306d6", + "4107196d970446149cf32a8ea8a9452e", + "e6b535c3023249f8b3640f33ffd2adb1", + "63a2f91de2c246fea86c831c5fd03e4f", + "ec8641b65d664be8999f80a8a575b01e" + ] + }, + "id": "MH4fEd_FTo5U", + "outputId": "c2924580-b349-409c-fd86-c44a143b1f43" + }, + "execution_count": 55, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "Uploading the dataset shards: 0%| | 0/1 [00:00