llama2_entail.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "K8fVG8v5b31K",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "K8fVG8v5b31K",
    "outputId": "83e7f3e8-d0b7-4df0-9e5b-3876770e8230"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: huggingface_hub in /usr/local/lib/python3.10/dist-packages (0.20.2)\n",
      "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from huggingface_hub) (3.13.1)\n",
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      "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface_hub) (3.3.2)\n",
      "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface_hub) (3.6)\n",
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      "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface_hub) (2023.11.17)\n"
     ]
    }
   ],
   "source": [
    "pip install --upgrade huggingface_hub"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "k5ccpId4bgRc",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 145,
     "referenced_widgets": [
      "235083fa6d904ed99a0c158b7df79cfe",
      "9cb22127ceb24af8ba53747b04130a64",
      "7f3e0470a03d40489de586ab4bf779e1",
      "4f059b43765049a78ac171aefd0aa2b3",
      "e2fb945dfac840cbaac64398af89798c",
      "bdccea161c174b438cae454a54ef2420",
      "4c60d61962af4a2b991aa5a7c9497089",
      "20b6966e7f1a434c90d4822441540a1f",
      "899ad10767e7474c977a228bf5fa4ae2",
      "3f1340aede8d4d54abf87f156cb208aa",
      "a7618e515fb14eb6b6459026953733f8",
      "75f89a92dd2244fc91293368f1d5539e",
      "b361eaac47db4b11a103cd0e4f9e7482",
      "80fee84706cd49e8ac03266818e7948f",
      "c94ab65fe1be4400aebff07814b2d796",
      "76e05f531d4a4d39b10aa4dfd0fb75c9",
      "7b520c6b96fe43ae8818c65ca68bfb24",
      "16536e3f68864eb3acdd852cc7c211cc",
      "dec3e59a0f574117886a6b53183109d8",
      "d8eb705a10b14d5f80c420721cb49fd0",
      "0f01380d847e4ab09817b109c8fbb0d4",
      "7c65c1c794794831a016672e85a116d6",
      "38ff13f3f0ed4a13b8a196db87397e8d",
      "2d7e2963a1d643c0b771a58177b8fc9e",
      "4fff83bc03ee42788f0454b65cb05c1b",
      "a1412eb34fa24322beb9776601baea08",
      "a974762b89cc4860bb4f9da421a6dde6",
      "68b07aa48a70497493cb8436389d50af",
      "7bf427b0369842bb920f318e02bfe500",
      "73f5d847170942318cbadae10094ca02",
      "63e624135afe42708dd00fe9ecb5b270",
      "bfd9d590e2944112bf2f2f9ea37d1983"
     ]
    },
    "id": "k5ccpId4bgRc",
    "outputId": "46dfa571-6001-49da-c8ec-ee48b4771ffe"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "235083fa6d904ed99a0c158b7df79cfe",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "VBox(children=(HTML(value='<center> <img\\nsrc=https://huggingface.co/front/assets/huggingface_logo-noborder.sv…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from huggingface_hub import notebook_login\n",
    "\n",
    "notebook_login('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')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "0bc11e34-4938-451f-8adc-86d320adec95",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "0bc11e34-4938-451f-8adc-86d320adec95",
    "outputId": "a549c912-11f4-4f3c-bddd-fb7127e1ff4d"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Collecting jedi>=0.16 (from ipython>=4.0.0->ipywidgets)\n",
      "  Downloading jedi-0.19.1-py2.py3-none-any.whl (1.6 MB)\n",
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      "Requirement already satisfied: exceptiongroup in /usr/local/lib/python3.10/dist-packages (from anyio<4,>=3.1.0->jupyter-server>=1.8->nbclassic>=0.4.7->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets) (1.2.0)\n",
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      "Installing collected packages: jedi\n",
      "Successfully installed jedi-0.19.1\n"
     ]
    }
   ],
   "source": [
    "pip install ipywidgets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "3bItraR_iBKZ",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "3bItraR_iBKZ",
    "outputId": "f7c93eec-bec5-48d4-c28f-1455ae91ab8c"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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     ]
    }
   ],
   "source": [
    "pip install transformers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "rrutBS2ozO4y",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "rrutBS2ozO4y",
    "outputId": "65dcebed-9604-44ec-8b9f-a632f90351ac"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting bitsandbytes\n",
      "  Downloading bitsandbytes-0.42.0-py3-none-any.whl (105.0 MB)\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m105.0/105.0 MB\u001b[0m \u001b[31m13.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[?25hRequirement already satisfied: scipy in /usr/local/lib/python3.10/dist-packages (from bitsandbytes) (1.11.4)\n",
      "Requirement already satisfied: numpy<1.28.0,>=1.21.6 in /usr/local/lib/python3.10/dist-packages (from scipy->bitsandbytes) (1.23.5)\n",
      "Installing collected packages: bitsandbytes\n",
      "Successfully installed bitsandbytes-0.42.0\n"
     ]
    }
   ],
   "source": [
    "pip install bitsandbytes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "mQRoL_n1xnMq",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "mQRoL_n1xnMq",
    "outputId": "2be19e6e-753c-4346-c798-40c3e79340df"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting accelerate\n",
      "  Downloading accelerate-0.25.0-py3-none-any.whl (265 kB)\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m265.7/265.7 kB\u001b[0m \u001b[31m4.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m \u001b[36m0:00:01\u001b[0m\n",
      "\u001b[?25hRequirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from accelerate) (1.23.5)\n",
      "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from accelerate) (23.2)\n",
      "Requirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from accelerate) (5.9.5)\n",
      "Requirement already satisfied: pyyaml in /usr/local/lib/python3.10/dist-packages (from accelerate) (6.0.1)\n",
      "Requirement already satisfied: torch>=1.10.0 in /usr/local/lib/python3.10/dist-packages (from accelerate) (2.1.0+cu121)\n",
      "Requirement already satisfied: huggingface-hub in /usr/local/lib/python3.10/dist-packages (from accelerate) (0.20.2)\n",
      "Requirement already satisfied: safetensors>=0.3.1 in /usr/local/lib/python3.10/dist-packages (from accelerate) (0.4.1)\n",
      "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (3.13.1)\n",
      "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (4.5.0)\n",
      "Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (1.12)\n",
      "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (3.2.1)\n",
      "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (3.1.2)\n",
      "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (2023.6.0)\n",
      "Requirement already satisfied: triton==2.1.0 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (2.1.0)\n",
      "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from huggingface-hub->accelerate) (2.31.0)\n",
      "Requirement already satisfied: tqdm>=4.42.1 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub->accelerate) (4.66.1)\n",
      "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=1.10.0->accelerate) (2.1.3)\n",
      "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->accelerate) (3.3.2)\n",
      "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->accelerate) (3.6)\n",
      "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->accelerate) (2.0.7)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->accelerate) (2023.11.17)\n",
      "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=1.10.0->accelerate) (1.3.0)\n",
      "Installing collected packages: accelerate\n",
      "Successfully installed accelerate-0.25.0\n"
     ]
    }
   ],
   "source": [
    "!pip3 install accelerate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "_5JPzoiXVJ44",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "_5JPzoiXVJ44",
    "outputId": "7af910d9-90a3-48de-8fa3-b38fcc721552"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting sentencepiece\n",
      "  Downloading sentencepiece-0.1.99-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m14.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[?25hInstalling collected packages: sentencepiece\n",
      "Successfully installed sentencepiece-0.1.99\n"
     ]
    }
   ],
   "source": [
    "pip install sentencepiece"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "AiMN86NAOA_I",
   "metadata": {
    "id": "AiMN86NAOA_I"
   },
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "MDlW4hEaE2R5",
   "metadata": {
    "id": "MDlW4hEaE2R5"
   },
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "e5B2ZyjbpMlM",
   "metadata": {
    "id": "e5B2ZyjbpMlM"
   },
   "outputs": [],
   "source": [
    "import torch"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "JIfazqxUtuwO",
   "metadata": {
    "id": "JIfazqxUtuwO"
   },
   "outputs": [],
   "source": [
    "from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline\n",
    "from transformers import BitsAndBytesConfig"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "uDcUpQirG0uS",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "uDcUpQirG0uS",
    "outputId": "20b80899-df7f-488e-ae19-d17a0b119b87"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mounted at /content/drive\n"
     ]
    }
   ],
   "source": [
    "from google.colab import drive\n",
    "drive.mount('/content/drive')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "gXcGXRe9YT6a",
   "metadata": {
    "id": "gXcGXRe9YT6a"
   },
   "outputs": [],
   "source": [
    "url = '/content/drive/MyDrive/Q:Track LLMs/KnowledgeTransfers-one_sent.csv'\n",
    "df = pd.read_csv(url)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "BqUw_qW1GHNW",
   "metadata": {
    "id": "BqUw_qW1GHNW"
   },
   "outputs": [],
   "source": [
    "### Selecting all annotated cases of family relations\n",
    "df_fam = df[df.relation.isin([\"parent_of\", \"child_of\", \"siblings\", \"spouses\"])].copy(deep=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "UOxs1LFGDziB",
   "metadata": {
    "id": "UOxs1LFGDziB"
   },
   "outputs": [],
   "source": [
    "df_fam.drop(columns=['annotationspan', 'annotation', 'source', 'attributes'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "S2l7nNUWFHcQ",
   "metadata": {
    "id": "S2l7nNUWFHcQ"
   },
   "outputs": [],
   "source": [
    "df_know = df_fam.reset_index().copy(deep=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "tp3T1Umm-9W4",
   "metadata": {
    "id": "tp3T1Umm-9W4"
   },
   "outputs": [],
   "source": [
    "prop = []\n",
    "entail = []\n",
    "for index, row in df_fam.iterrows():\n",
    "    text = row[\"relation\"]\n",
    "    person_1 = row[\"arg1\"]\n",
    "    person_2 = row[\"arg2\"]\n",
    "    if index % 2 == 0:\n",
    "        if \"parent_of\" in text:\n",
    "            sen = f\"{person_1} is the parent of {person_2}.\"\n",
    "            prop.append(sen)\n",
    "            entail.append(\"entail\")\n",
    "        elif \"child_of\" in text:\n",
    "            sen = f\"{person_1} is the child of {person_2}.\"\n",
    "            prop.append(sen)\n",
    "            entail.append(\"entail\")\n",
    "        elif \"siblings\" in text:\n",
    "            sen = f\"{person_1} and {person_2} are siblings.\"\n",
    "            prop.append(sen)\n",
    "            entail.append(\"entail\")\n",
    "        elif \"spouses\" in text:\n",
    "            sen = f\"{person_1} and {person_2} are spouses.\"\n",
    "            prop.append(sen)\n",
    "            entail.append(\"entail\")\n",
    "    else:\n",
    "        if \"parent_of\" in text:\n",
    "            sen = f\"{person_1} is not the parent of {person_2}.\"\n",
    "            prop.append(sen)\n",
    "            entail.append(\"not entail\")\n",
    "        elif \"child_of\" in text:\n",
    "            sen = f\"{person_1} is not the child of {person_2}.\"\n",
    "            prop.append(sen)\n",
    "            entail.append(\"not entail\")\n",
    "        elif \"siblings\" in text:\n",
    "            sen = f\"{person_1} and {person_2} are spouses.\"\n",
    "            prop.append(sen)\n",
    "            entail.append(\"not entail\")\n",
    "        elif \"spouses\" in text:\n",
    "            sen = f\"{person_1} and {person_2} are siblings.\"\n",
    "            prop.append(sen)\n",
    "            entail.append(\"not entail\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "-BOfr62pCAS3",
   "metadata": {
    "id": "-BOfr62pCAS3"
   },
   "outputs": [],
   "source": [
    "props = pd.Series(prop)\n",
    "entails = pd.Series (entail)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "iulnm1VLAELM",
   "metadata": {
    "id": "iulnm1VLAELM"
   },
   "outputs": [],
   "source": [
    "df_know['proposition'] = props\n",
    "df_know['classification'] = entails"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "MJTjL9qoC51q",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "MJTjL9qoC51q",
    "outputId": "fa175dd1-b511-4f6e-b52b-5b6bba7a32fa"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "entail        50\n",
       "not entail    39\n",
       "Name: classification, dtype: int64"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_know.classification.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4UiFWM4ZmiMV",
   "metadata": {
    "id": "4UiFWM4ZmiMV"
   },
   "source": [
    "### Loading Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "kBpd3i0dys3R",
   "metadata": {
    "id": "kBpd3i0dys3R"
   },
   "outputs": [],
   "source": [
    "quantization_config = BitsAndBytesConfig(\n",
    "  load_in_4bit=True,\n",
    "  #bnb_4bit_use_double_quant=True,\n",
    "  bnb_4bit_quant_type = \"nf4\",\n",
    "  bnb_4bit_compute_dtype = torch.float16\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "zOVWr4WrF6q-",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 621,
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      "566df8f4d9544aab8441b89cc6d8014f",
      "3688df2a1a494b1cbfa0e92c31ec9e30",
      "f6f633f63b1f4c279b1907b6b4ca2bc1",
      "0f7d60b149294385a55c588877a61b1e",
      "a25c89f2abdc4bcc8affd1e0e0ec58a7",
      "cabb75c9f8574feda5039b060c337163",
      "ca960730abd240119fcb2d532d6f50e7",
      "a7c09cdcf6ac4f5c9421a7472d7ff131",
      "9cb6a65cdb3b433294a8026277b18739",
      "abd4aa39907e418e89ff3787023518f9",
      "2fde3f49a317462a8bc1cd8634f9643b",
      "e233eac7b7b24ad68a191c95dbdaf120",
      "df18cc7230e7411596c4d7e797f9c772",
      "a5d3b8c7477c464f8cdc89a796f80898",
      "f11738a307324c3aafe54d60eda3dcd8",
      "e1e519e667a642829bd6cf396ac48a75",
      "0d9804edc76448dd88d711707acf5569",
      "a7a79793eff249f2b14b1b464737047b",
      "3dae43f8e47248b18941fc1a29e7fff7"
     ]
    },
    "id": "zOVWr4WrF6q-",
    "outputId": "cb9a91ff-5303-439a-d2e7-e143498d1422"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.10/dist-packages/transformers/models/auto/tokenization_auto.py:671: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.\n",
      "  warnings.warn(\n",
      "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:88: UserWarning: \n",
      "The secret `HF_TOKEN` does not exist in your Colab secrets.\n",
      "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n",
      "You will be able to reuse this secret in all of your notebooks.\n",
      "Please note that authentication is recommended but still optional to access public models or datasets.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "06178b24eb134db7804dadeb5ef6bb89",
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "55704470231e46ea8696d807b87b08c1",
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py:472: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "90b4167fab0747bb8041832b6f86a6a4",
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       "model_id": "c0d4903812304751b136641d9446263b",
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     },
     "metadata": {},
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    },
    {
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     "metadata": {},
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     "metadata": {},
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    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "8542a5c901b2418f939d2475151ccd24",
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py:374: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9cb6a65cdb3b433294a8026277b18739",
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      ]
     },
     "metadata": {},
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    }
   ],
   "source": [
    "model_id = \"meta-llama/Llama-2-13b-chat-hf\"\n",
    "\n",
    "tokenizer_2 = AutoTokenizer.from_pretrained(model_id, use_auth_token=True, use_fast=True)\n",
    "model_13b = AutoModelForCausalLM.from_pretrained(model_id_2, use_auth_token=True, device_map=\"auto\", quantization_config=quantization_config)\n",
    "\n",
    "hf_13b = pipeline(\"text-generation\", model=model_13b, tokenizer=tokenizer_2, temperature = 0.001)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "QzcQa9v8GLug",
   "metadata": {
    "id": "QzcQa9v8GLug"
   },
   "source": [
    "### Creating Prompt Templates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "ywGc98BuFrd1",
   "metadata": {
    "id": "ywGc98BuFrd1"
   },
   "outputs": [],
   "source": [
    "def generate(prompt, max_length=1024, pipe=hf_13b, **kwargs):\n",
    "    def_kwargs = dict(return_full_text=False, return_dict=False)\n",
    "    response = pipe(prompt.strip(), max_length=max_length, **kwargs, **def_kwargs)\n",
    "    return response[0]['generated_text'].strip()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "owUV0GfuUB8j",
   "metadata": {
    "id": "owUV0GfuUB8j"
   },
   "source": [
    "#### Testing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "47luC6AOdcMO",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "47luC6AOdcMO",
    "outputId": "a517cc4a-4ef8-47cb-ecee-939dc55d9914"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sure! Here's a prompt for you:\n",
      "\n",
      "Consider the following two propositions:\n",
      "\n",
      "1. All humans are mortal.\n",
      "2. Socrates is human.\n",
      "\n",
      "Can you determine whether the second proposition \"Socrates is human\" is entailed by the first proposition \"All humans are mortal\"? In other words, does the fact that all humans are mortal logically imply that Socrates is human?\n",
      "\n",
      "Please provide your answer in the form of a logical statement (e.g. \"Yes, the first proposition entails the second\" or \"No, the first proposition does not entail the second\").\n"
     ]
    }
   ],
   "source": [
    "prompt = f\"\"\"\n",
    "  <s>[INST]\\n\n",
    "  Write me a prompt with which I can let you check whether the proposition \"Socrates is human.\" is entailed by \"All humans are mortal\".\n",
    "  [/INST]\n",
    "  \"\"\"\n",
    "\n",
    "print(generate(prompt))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "5VKaHnzQeIsx",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "5VKaHnzQeIsx",
    "outputId": "cb914aab-50d8-43a9-db75-9da1382889fc"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Based on the given German text, it is not possible to determine whether PARENT 1[IPHIGENIE] is the parent of iphigenie. The text does not provide any information about the parentage of iphigenie or any other characters. Therefore, the proposition PARENT 1[IPHIGENIE] is not entailed by the given text.\n",
      "\n",
      "Logical statement:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "Based on the given German text, we can deduce the following logical statement:\n",
      "\n",
      "a.) Yes, the proposition \"diana is the child of zeus\" is entailed by the given text.\n",
      "\n",
      "Here's why:\n",
      "\n",
      "1. The text mentions \"Diana\" as the daughter of \"Zeus\" (line 2).\n",
      "2. The text refers to \"diana\" as the one who has taken the speaker (Iphigenie) into her holy, gentle arms (line 3).\n",
      "3. The text addresses \"diana\" as \"die Tochter Zeus\" (line 4), which means \"the daughter of Zeus\" in German.\n",
      "4. The text mentions \"diana\" as the one who has rescued the speaker from death and is now being asked to rescue her again (lines 5-6).\n",
      "\n",
      "Therefore, based on the given text, we can conclude that \"diana is the child of zeus\" is entailed.\n",
      "Based on the given German text, it can be inferred that the speaker has a broken heart and has lost something precious in their youth, but it does not explicitly mention the parent-child relationship between iphigenie and PARENT 2. Therefore, the proposition PARENT 2[IPHIGENIE] is not entailed by the text.\n",
      "\n",
      "So, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "Based on the given German text, it is not possible to determine whether the proposition \"SIBLINGS[IPHIGENIE] and iphigenie are spouses\" is entailed. The text does not provide any information about the relationship between Iphigenie and her siblings, and it does not use the word \"spouses\" or any similar term. Therefore, the answer is (b) No, the proposition is not entailed by the given text.\n",
      "Based on the given German text, we can deduce the following information:\n",
      "\n",
      "1. Iphigenie and Orest are siblings. (This is explicitly stated in the text.)\n",
      "2. The king and queen had been longing for a son, and finally, their wish was granted with the birth of Orest.\n",
      "3. However, their happiness was short-lived, as the kingdom was soon plagued by the Ruf des Krieges (the cry of war), which was a call to arms to avenge the rape of the most beautiful woman in Greece by the Trojans.\n",
      "\n",
      "From these statements, we can infer that Iphigenie and Orest are siblings, but the text does not explicitly state that they are siblings. Therefore, the proposition \"Iphigenie and Orest are siblings\" is not entailed by the given text.\n",
      "\n",
      "So, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "Based on the given German text, we can deduce the following information:\n",
      "\n",
      "1. Apollo is a god.\n",
      "2. Diana is a goddess who rules over Tauris.\n",
      "3. The speaker is addressing Apollo and asking for his help.\n",
      "4. Apollo is the speaker's sibling.\n",
      "\n",
      "Therefore, the proposition \"diana and apollo are siblings\" is entailed by the given text.\n",
      "\n",
      "So, the answer is:\n",
      "\n",
      "a.) Yes, the proposition is entailed by the given text.\n",
      "Based on the given German text, it is not possible to determine whether the proposition \"Iphigenie and Orest are spouses\" is entailed. The text does not provide any information about the relationship between Iphigenie and Orest, and it does not mention the word \"spouses\" or any similar term. Therefore, the answer is (b) No, the proposition is not entailed by the given text.\n",
      "Based on the given German text MARIE. Daß unser Bruder nicht kommt! Es sind zwei Tage über die Zeit., we cannot determine whether the second proposition BROTHER[MARIE] and [marie, sophie] are spouses is entailed.\n",
      "\n",
      "The first text only mentions the name \"Marie\" and the fact that a brother is not coming, without providing any information about the relationship between Marie and the other individuals mentioned. Therefore, we cannot infer anything about the marital status of Marie or her relationship with Sophie.\n",
      "\n",
      "So, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "Based on the given text, we can deduce the following:\n",
      "\n",
      "1. The Älteste (the eldest) has written an open letter to France, criticizing the mistreatment she and her family have received.\n",
      "2. The letter has deeply upset her brother, who is seeking his leave to go to Spain to seek revenge for his sister's misfortune.\n",
      "\n",
      "From these statements, we cannot infer that Marie and Beaumarchais are siblings. There is no mention of their names together, and the text does not provide any information about their familial relationship. Therefore, the proposition \"marie and beaumarchais are siblings\" is not entailed by the given text.\n",
      "\n",
      "So, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.10/dist-packages/transformers/pipelines/base.py:1101: UserWarning: You seem to be using the pipelines sequentially on GPU. In order to maximize efficiency please use a dataset\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Based on the given German text, it is not possible to determine whether the second proposition CHILD 1[HERZOG] is not the child of herzog. is entailed. The text does not contain any information about the parentage of Child 1 or Herzog. Therefore, answer (b) is the correct answer.\n",
      "Sure, I can help you with that!\n",
      "\n",
      "Based on the given German text HERZOG. Ist eine Tochter. KÖNIG., we can deduce the following information:\n",
      "\n",
      "1. HERZOG has a daughter.\n",
      "2. The daughter is a KÖNIG (which means \"king\" in German).\n",
      "\n",
      "However, we cannot deduce whether CHILD 2[HERZOG] is the child of herzog based on the given text alone. The text only tells us that herzog has a daughter, but it does not provide any information about the relationship between herzog and CHILD 2[HERZOG].\n",
      "\n",
      "Therefore, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "Based on the given German text, it is not possible to determine whether madame_sommer_bzw_caecilie is the parent of lucie. The text does not provide any information about the relationships between the individuals mentioned. Therefore, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "Based on the given German text, it is not possible to determine whether the second proposition PARENT[LUCIE] is the parent of lucie. The text does not provide any information about the parentage of lucie or any other person. Therefore, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "Based on the given German text, it is not possible to determine whether madame_sommer_bzw_caecilie and PARENT[LUCIE] are siblings. The text does not provide any information about the relationship between these individuals. Therefore, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "Based on the given German text, we can deduce the following logical statement:\n",
      "\n",
      "a.) The proposition \"CHILD[STELLA] is not the child of stella\" is not entailed by the given text.\n",
      "\n",
      "Here's why:\n",
      "\n",
      "The German text talks about the speaker's feelings of loneliness and longing for someone they love, and how they feel like they are reaching out to all directions but cannot find any comfort or response. The text also mentions the speaker's desire to bring down the moon and their qualms about being alone. However, there is no mention of any child, let alone the child of Stella. Therefore, the second proposition \"CHILD[STELLA] is not the child of stella\" is not entailed by the given text.\n",
      "Based on the given texts, we can make the following logical statement:\n",
      "\n",
      "b.) No, the proposition SPOUSE[FERNANDO] and fernando are spouses is not entailed by the German text VERWALTER. Ihre Gemahlin? Ihre Tochter.\n",
      "\n",
      "The German text only mentions a wife (Gemahlin) and a daughter (Tochter), but it does not provide any information about the gender or marital status of the speaker's spouse. Therefore, we cannot infer that SPOUSE[FERNANDO] and fernando are spouses based on the given text.\n",
      "Based on the given texts, we can make the following logical statement:\n",
      "\n",
      "b.) No, the proposition CHILD[FERNANDO] is not entailed by the German text Ihre Gemahlin? Ihre Tochter? FERNANDO.\n",
      "\n",
      "The German text only mentions a wife and a daughter of Fernando, but it does not explicitly mention a child of Fernando. Therefore, we cannot infer the existence of a child named CHILD[FERNANDO] based on the given text.\n",
      "Based on the given German text, it is not possible to determine whether fernando and madame_sommer_bzw_caecilie are siblings. The text does not provide any information about the relationships between the individuals mentioned.\n",
      "\n",
      "Therefore, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "Based on the given texts, we can make the following logical statements:\n",
      "\n",
      "1. The German text wieviel Freude! Sollte das liebenswürdige Geschöpf meine Tochter sein? – – Ich habe dich aufgesucht überall. implies that the speaker has a positive emotional response to the subject (Freude) and is addressing someone they consider to be their daughter (liebenswürdige Geschöpf).\n",
      "2. The proposition fernando is the parent of lucie is a separate statement that does not directly follow from the German text.\n",
      "\n",
      "Therefore, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "\n",
      "The German text does not provide sufficient information to determine whether fernando is the parent of lucie. It only expresses the speaker's positive emotions towards someone they consider to be their daughter, without revealing any information about the identity of the daughter or the speaker's relationship with them.\n",
      "Sure, I can help you with that!\n",
      "\n",
      "Based on the given German text FERNANDO. O meine Tochter! LUCIE., we can infer that:\n",
      "\n",
      "1. Fernando has a daughter named Lucie.\n",
      "\n",
      "However, the second proposition \"Lucie is not the child of Fernando\" is not entailed by the given text. This is because the text only establishes that Lucie is Fernando's daughter, but it does not rule out the possibility that Lucie may have other parents or guardians.\n",
      "\n",
      "Therefore, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "Based on the given German text FERNANDO. Und dieses Weib ist meine Frau! –, it is not possible to determine whether fernando and madame_sommer_bzw_caecilie are siblings.\n",
      "\n",
      "The German text only mentions the relationship between Fernando and the woman, stating that she is his wife. It does not provide any information about the relationship between Fernando and madame_sommer_bzw_caecilie. Therefore, the second proposition is not entailed by the given text.\n",
      "\n",
      "Answer: b.) No, the proposition is not entailed by the given text.\n",
      "Sure, I can help you with that!\n",
      "\n",
      "Based on the given German text FERNANDO. Und das Mädchen ist meine Tochter! Stella!, we can infer the following logical statement:\n",
      "\n",
      "a.) Yes, the proposition \"lucie is not the child of fernando\" is entailed by the given text.\n",
      "\n",
      "Here's why:\n",
      "\n",
      "The text states that Fernando says \"Das Mädchen ist meine Tochter!\" which means \"The girl is my daughter!\" in English. This implies that the girl is Fernando's daughter, and therefore, lucie cannot be the child of Fernando, as the text explicitly states that the girl is Fernando's daughter.\n",
      "\n",
      "So, the proposition \"lucie is not the child of fernando\" is logically entailed by the given text.\n",
      "Based on the given German text Hoffmann. Nein, ihre Schwester. Hörtest Du nicht, wie sie mich betitelte?, we cannot determine whether the second proposition helene and SPOUSE[HOFFMANN] are spouses is entailed.\n",
      "\n",
      "The German text only provides information about Hoffmann's relationship with his sister, and does not provide any information about his relationship with helene or any other person. Therefore, we cannot infer whether helene and SPOUSE[HOFFMANN] are spouses or not.\n",
      "\n",
      "So, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "Based on the given German text Sie trägt eine brennende Laterne. Guda Murja, Voater Beibst. Beibst, it is not possible to determine whether the second proposition beibst is not the parent of guste is entailed or not.\n",
      "\n",
      "The given text only provides information about the person carrying a burning lantern, Guda Murja, and the name Voater Beibst, but it does not contain any information about the relationship between beibst and guste. Therefore, we cannot infer anything about the parentage of guste based on the given text.\n",
      "\n",
      "So, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "Based on the given text, we can deduce the following information:\n",
      "\n",
      "1. Valerio has two sisters, Juanna and another unnamed sister.\n",
      "2. Juanna has received a letter from Flanders that calls her to Valladolid to settle her deceased uncle's inheritance.\n",
      "3. The unnamed sister is knowledgeable about everything and will oversee the girls.\n",
      "4. Porporino, disguised as a doctor, will bring the sisters to Valerio's estate.\n",
      "5. Valerio has appointed Porporino as his housekeeper on the estate.\n",
      "\n",
      "From these statements, we cannot deduce whether Sarmiento and Sibling[Sarmiento] are spouses. The text does not provide any information about their relationship or status. Therefore, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "Sure, I can help you with that!\n",
      "\n",
      "Based on the given German text Die Tränen in den Augen. meines lieben Vaters Schwester zu sehen. ISABELLA, we can infer that Isabella is the speaker's beloved father's sister. However, we cannot infer that Isabella and Sarmiento are siblings.\n",
      "\n",
      "Therefore, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "Based on the given German text Sie treten herbei. Hier, Lucilla, ist dein Bruder: Porporino ist mein Sohn! VALERIA., we can deduce the following logical statement:\n",
      "\n",
      "a.) Yes, the proposition \"sarmiento is the parent of porporino\" is entailed by the given text.\n",
      "\n",
      "Explanation:\n",
      "\n",
      "The given German text establishes the following relationships:\n",
      "\n",
      "1. Lucilla is the sister of Porporino (indicated by the phrase \"dein Bruder\" in German).\n",
      "2. Porporino is the son of Valeria (indicated by the phrase \"Porporino ist mein Sohn\" in German).\n",
      "3. Sarmiento is the parent of Porporino (indicated by the phrase \"sarmiento ist der Vater von Porporino\" in German).\n",
      "\n",
      "Therefore, based on the given text, we can deduce that sarmiento is the parent of porporino.\n",
      "Based on the given German text, we can infer the following:\n",
      "\n",
      "1. Isabella is Sarmiento's mother.\n",
      "2. Sarmiento and Isabella are related as mother and son/daughter.\n",
      "\n",
      "However, we cannot conclude that Sarmiento and Isabella are spouses based solely on this text. There is no explicit mention of marriage or any other indication that they are married. Therefore, the proposition \"sarmiento and isabella are spouses\" is not entailed by the given text.\n",
      "\n",
      "So, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "Based on the given German text Je nun! freilich hat sie noch eine Schwester: aber sie wird ihr Vermögen doch lieber jungen Leuten gönnen, die es in der Welt noch nutzen können, als der alten Frauen. FRÄULEIN KAROLINE., we can deduce the following logical statement:\n",
      "\n",
      "b.) No, the proposition frau_von_tiefenborn and SIBLING2[FRAU_VON_TIEFENBORN] are siblings is not entailed by the given text.\n",
      "\n",
      "The text only mentions a sister of the speaker, but it does not provide any information about the sibling relationship between frau_von_tiefenborn and SIBLING2[FRAU_VON_TIEFENBORN]. Therefore, we cannot infer that they are siblings based on the given text alone.\n",
      "Based on the given German text, it is not possible to determine whether herr_von_ziegendorf and SIBLING[HERR_VON_ZIEGENDORF] are spouses. The text only mentions a brother and a wife (FRAU VON TIEFENBORN), but does not provide any information about the relationship between herr_von_ziegendorf and SIBLING[HERR_VON_ZIEGENDORF].\n",
      "\n",
      "Therefore, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "Based on the given German text, it is not possible to determine whether the second proposition \"der_graf is the parent of CHILD[DER_GRAF]\" is entailed. The text does not provide any information about the parent-child relationship between \"der_graf\" and \"CHILD[DER_GRAF]\".\n",
      "\n",
      "Therefore, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "Sure, I can help you with that!\n",
      "\n",
      "Based on the given German text GRAF. Ja, es ist mein einzig Kind. HAUPTMANN., we can infer the following logical statement:\n",
      "\n",
      "a.) The speaker has a child, and this child is the only one.\n",
      "\n",
      "However, we cannot infer from this text that Bertha is not the child of der_graf, as there is no information in the text about Bertha being the child of anyone. Therefore, the proposition \"bertha is not the child of der_graf\" is not entailed by the given text.\n",
      "\n",
      "So, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "Based on the given German text, we can logically deduce the following statement:\n",
      "\n",
      "a.) Jaromir is the child of a man of high rank and power, who is known by the country's highest authorities and is the brother of the prince.\n",
      "\n",
      "However, the second proposition \"Jaromir is not the child of der_graf\" is not entailed by the given text. The text does not provide any information about Jaromir's parentage or whether he is the child of der_graf or not. Therefore, we cannot logically deduce whether Jaromir is the child of der_graf or not based on the given text.\n",
      "\n",
      "So, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "Based on the given German text, it is not possible to determine whether the proposition \"nerissa and sultan are spouses\" is entailed. The text does not provide any information about the relationship between nerissa and sultan, and it does not mention the word \"spouse\" or any similar term. Therefore, answer (b) is correct: No, the proposition is not entailed by the given text.\n",
      "Based on the given German text UDOHLA. Die einzge Schwester hat er nie gesehn Dem Vater haben Räuber sie entführt. NERISSA., we cannot determine whether udohla and SIBLING[UDOHLA] are spouses.\n",
      "\n",
      "The text only provides information about Udochla's relationship with her father and a mysterious figure (possibly a raider) who has taken her away. It does not provide any information about Udochla's marital status or her relationship with Sibling[Udochla].\n",
      "\n",
      "Therefore, we cannot entail the proposition \"udohla and SIBLING[UDOHLA] are spouses\" from the given text. The answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "Based on the given German text, it is not possible to determine whether the second proposition \"cassandra is the parent of ligares\" is entailed. The text does not provide any information about Cassandra or Ligares, and does not contain any logical implications that would connect the two propositions. Therefore, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "Based on the given German text, we can infer the following:\n",
      "\n",
      "1. The speaker has been abandoned by their spouse (Gattinn) and left with only one son.\n",
      "2. The son is the child of the speaker's spouse (SPOUSE[MAGIER]).\n",
      "\n",
      "However, we cannot conclude that ligares is the child of SPOUSE[MAGIER] based on the given text alone. The text only mentions the speaker's son, and does not provide any information about ligares.\n",
      "\n",
      "Therefore, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "Based on the given German text, we can deduce the following logical statement:\n",
      "\n",
      "a.) The proposition \"cassandra is not the parent of ligares\" is not entailed by the given text.\n",
      "\n",
      "Here's why:\n",
      "\n",
      "The text describes the speaker's experiences of being rejected, mistreated, and abandoned by their mother and others. It does not mention anything about cassandra or ligares, and there is no logical connection between the speaker's experiences and the proposition \"cassandra is not the parent of ligares.\" Therefore, the proposition is not entailed by the given text.\n",
      "Based on the given German text, we can make the following logical statement:\n",
      "\n",
      "b.) No, the proposition \"ligares and timandras are siblings\" is not entailed by the given text.\n",
      "\n",
      "The text mentions finding a brother, but it does not explicitly state that ligares and timandras are siblings. Therefore, the second proposition is not logically implied by the first text.\n",
      "Sure, I can help you with that!\n",
      "\n",
      "Based on the given German text KLARA. Diesmal doch nicht ganz, liebe Mutter! Die Ärmel sind zu weit., we can infer the following information:\n",
      "\n",
      "1. Klara is the subject of the text, as the sentence starts with \"KLARA.\"\n",
      "2. Klara is addressing her mother, as the text contains the phrase \"liebe Mutter\" (dear mother).\n",
      "3. Klara is expressing dissatisfaction with the fit of her armholes, as the text contains the phrase \"Die Ärmel sind zu weit\" (the armholes are too wide).\n",
      "\n",
      "From these inferences, we can deduce that Klara is a daughter who is talking to her mother about a piece of clothing that she has received from her mother. However, we cannot deduce whether Klara's mother is the parent of Klara based solely on this text.\n",
      "\n",
      "Therefore, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "\n",
      "The text does not provide enough information to determine whether Klara's mother is her parent or not.\n",
      "Based on the given German text, we can make the following logical statement:\n",
      "\n",
      "b.) No, the proposition \"mutter is the parent of karl\" is not entailed by the given text.\n",
      "\n",
      "The text only mentions the relationship between the speaker (Klara) and their mother (Mutter), but it does not provide any information about the parental relationship between Mutter and Karl. Therefore, we cannot infer that Mutter is the parent of Karl based on the given text alone.\n",
      "Based on the given German text WOLFRAM. Meine Frau – Sag Sie mir aufrichtig, Jungfer, hat Sie nicht auch schon etwas Wunderliches über meine Frau gehört? KLARA., we can deduce the following logical statement:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "\n",
      "The text only mentions Wolfram's wife and asks if Clara has heard anything strange about her, but it does not explicitly state that Wolfram and his spouses are spouses. Therefore, we cannot infer the second proposition from the given text.\n",
      "Based on the given German text Weh, ganz allein. Der Vater fort, hinabgescheucht in seine kalten Klüfte. Gegen den Boden., it is not possible to determine whether the second proposition PARENT[ELEKTRA] is the parent of elektra. is entailed.\n",
      "\n",
      "The German text does not provide any information about the parent-child relationship between PARENT and ELEKTRA. The text only describes a father who is absent and the speaker's feelings of loneliness and isolation.\n",
      "\n",
      "Therefore, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "Based on the given text, we can logically conclude that:\n",
      "\n",
      "b.) No, the proposition \"Orest is not the child of PARENT[ELEKTRA]\" is not entailed by the text.\n",
      "\n",
      "The text describes the death of Clytemnestra and the revenge of Orestes\n",
      "Based on the given German text, we can make the following logical statement:\n",
      "\n",
      "b.) No, the proposition \"der_baron is not the parent of PARENT[DER_BARON]\" is not entailed by the given text.\n",
      "\n",
      "The text does not provide any information about the parent-child relationship between der_baron and PARENT[DER_BARON]. The text only describes the physical appearance and demeanor of the person being referred to, and the fact that the speaker is the father of the person. Therefore, the second proposition is not logically implied by the given text.\n",
      "Based on the given text, it is not possible to determine whether der_baron and annina are siblings. The German text only provides information about a person's relationship with their spouse and their use of a specific accent and speech pattern. It does not contain any information about the person's family or siblings. Therefore, the proposition \"der_baron and annina are siblings\" is not entailed by the given text.\n",
      "\n",
      "Answer: b.) No, the proposition is not entailed by the given text.\n",
      "Based on the given German text, we can deduce the following information:\n",
      "\n",
      "1. Sophia is the daughter of Faninal.\n",
      "2. Sophia is living in her father's palace.\n",
      "3. There are guests and musicians gathered at the palace.\n",
      "\n",
      "From these statements, we cannot deduce whether Sophia is the child of Faninal or not. The second proposition \"Sophie is not the child of Faninal\" is not entailed by the given text. Therefore, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "Based on the given texts, we can make the following logical statements:\n",
      "\n",
      "1. RUPERT. Und Mutter auch des Toten. EUSTACHE.\n",
      "\n",
      "This text states that Rupert and Eustache are related, with the word \"Mutter\" (mother) indicating a parental relationship.\n",
      "\n",
      "2. CHILD[EUSTACHE] is not the child of eustache.\n",
      "\n",
      "This text states that Eustache is not the parent of Child[Eustache].\n",
      "\n",
      "To determine if the second proposition is entailed by the first text, we need to analyze the meaning of the words and the relationships they imply.\n",
      "\n",
      "Based on the first text, we can infer that Eustache is a parent of Rupert, but we cannot determine the specific relationship between Eustache and Child[Eustache]. The word \"Mutter\" (mother) in the first text implies a parental relationship, but it does not specify the gender of the parent or the child. Therefore, we cannot conclude that Eustache is the parent of Child[Eustache].\n",
      "\n",
      "So, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "\n",
      "The second proposition CHILD[EUSTACHE] is not the child of eustache is not entailed by the first text RUPERT. Und Mutter auch des Toten. EUSTACHE. because the first text does not provide enough information to determine the specific relationship between Eustache and Child[Eustache].\n",
      "Based on the given German text JERONIMUS. Weiß nur so viel, daß sein Namen Johann, und er ein unecht Kind des Rupert, – Daß er den Ritterdienst in Rossitz lernte, Und gestern früh das Schwert empfangen hat. SYLVESTER., we can deduce the following logical statement:\n",
      "\n",
      "a.) Yes, the proposition \"johann is the child of rupert\" is entailed by the given text.\n",
      "\n",
      "Explanation:\n",
      "\n",
      "The text states that Jeronimus (Johann) is the child of Rupert, and that he learned the ritterdienst (knight's service) in Rossitz. These statements imply that Johann is the child of Rupert, as the text explicitly mentions the relationship between the two. Therefore, the proposition \"johann is the child of rupert\" is entailed by the given text.\n",
      "Based on the given German text Artig genug, nur zu artig. Aber was soll er deinen Sohn lehren? MAJOR., we cannot determine whether the second proposition CHILD[MAJOR] is the child of major. is entailed.\n",
      "\n",
      "The German text only provides information about the father's artistic abilities and the question of what he should teach his son. It does not contain any information about the child's existence or relationship to the father. Therefore, we cannot logically infer the truth of the second proposition based on the first text.\n",
      "\n",
      "So, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "Based on the given texts, we can make the following logical statement:\n",
      "\n",
      "b.) No, the proposition CHILD[MAJOR] is not the child of majorin is not entailed by the German text nicht furchtsam! Mein Sohn ist buschscheu genug; wenn der einen blöden  Hofmeister bekommt, so ist's aus mit ihm. Versuchen Sie doch einmal, mir ein Kompliment aus der Menuet zu machen; zur Probe nur, damit ich doch sehe.\n",
      "\n",
      "The German text does not contain any information about the parentage of a child named CHILD[MAJOR], and the second text simply states that CHILD[MAJOR] is not the child of majorin. Therefore, the two texts do not entail each other, and the second proposition is not entailed by the first text.\n",
      "Sure, I can help you with that!\n",
      "\n",
      "Based on the given German text GRAF. Ich glaube, sein Vater ist der Prediger hier aus dem Ort... MAJORIN., we can deduce the following logical statement:\n",
      "\n",
      "a.) Yes, the proposition \"pastor is not the parent of laeuffer\" is entailed by the given text.\n",
      "\n",
      "Here's why:\n",
      "\n",
      "The text states that Graf's father is the preacher from this place (MAJORIN). This implies that Graf's father is not Laeuffer, since Laeuffer is not a preacher. Therefore, the proposition \"pastor is not the parent of laeuffer\" is logically implied by the given text.\n",
      "Based on the given German text, it is not possible to determine whether the second proposition \"pastor is the parent of laeuffer\" is entailed. The text does not provide any information about the parentage of laeuffer or any other information that would support or refute the second proposition. Therefore, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "Based on the given German text, it is not possible to determine whether the proposition CHILD[MAJOR] is the child of major. The text does not provide any information about the relationship between \"major\" and \"child.\" Therefore, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "Sure, I can help you with that!\n",
      "\n",
      "Based on the given German text FRITZ. Ich, gnädigster Papa? GEHEIMER RAT., we can infer the following logical statement:\n",
      "\n",
      "a.) Yes, the proposition \"Fritz is the child of Geheimer Rat\" is entailed by the given text.\n",
      "\n",
      "Here's why:\n",
      "\n",
      "The text starts with \"Fritz\" addressing someone as \"gnädigster Papa\" (most honorable father), which suggests a familial relationship. Additionally, the phrase \"Geheimer Rat\" (secret counselor) is used to describe the person being addressed, which is a title of high respect and authority. Therefore, it can be inferred that Fritz is addressing his father, who holds a high position of authority.\n",
      "\n",
      "However, the second text \"fritz is not the child of geheimer_rat\" does not logically follow from the first text. The first text only implies that Fritz is the child of someone with the title of Geheimer Rat, but it does not explicitly state that Fritz is not the child of anyone else. Therefore, we cannot logically infer that Fritz is not the child of geheimer_rat based solely on the first text.\n",
      "\n",
      "So, the answer is:\n",
      "\n",
      "a.) Yes, the proposition \"Fritz is the child of Geheimer Rat\" is entailed by the given text.\n",
      "\n",
      "b.) No, the proposition \"Fritz is not the child of geheimer_rat\" is not entailed by the given text.\n",
      "Based on the given German text, we can logically deduce the following statement:\n",
      "\n",
      "a.) Yes, the proposition PARENT[GUTSCHEN] is not the parent of gustchen is entailed by the text.\n",
      "\n",
      "Here's how we can deduce this:\n",
      "\n",
      "1. The text mentions a father who loves the speaker more than his life and soul.\n",
      "2. The speaker mentions that their father will think they are dead.\n",
      "3. Therefore, the speaker is not the parent of gustchen (i.e., their father is not the parent of gustchen).\n",
      "\n",
      "So, the proposition PARENT[GUTSCHEN] is not the parent of gustchen is entailed by the given German text.\n",
      "Based on the given German text, it is not possible to determine whether the second proposition PARENT[CHILD] is the parent of CHILD[PARENT] is entailed. The text does not provide any information about the parent-child relationships between the entities mentioned.\n",
      "\n",
      "Therefore, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "Based on the given German text, we can make the following logical statement:\n",
      "\n",
      "b.) No, the proposition \"marthe is not the parent of der_alte_paetus\" is not entailed by the given text.\n",
      "\n",
      "The text does not provide any information about the parentage of der_alte_paetus, and it does not mention marthe at all. Therefore, we cannot infer anything about marthe's relationship with der_alte_paetus based on the given text.\n",
      "Based on the given German text, we can make the following logical statement:\n",
      "\n",
      "b.) No, the proposition \"mellefont is not the parent of arabella\" is not entailed by the given text.\n",
      "\n",
      "The text MARWOOD. Wenn sein Herz auch gegen die Sprache einer alten Liebe taub ist; so wird ihm doch die Sprache des Bluts vernehmlich sein. Er riß das Kind vor einiger Zeit aus meinen Armen, unter dem Vorwande, ihm eine Art von Erziehung geben zu lassen, die es bei mir nicht haben könne. does not provide any information about the parentage of Arabella or Mellefont. The text only speaks about the heart of Marwood being deaf to the language of an old love and the language of blood being audible to him, and how he took the child away from the speaker's arms under the pretext of giving it an education that it could not receive from the speaker. Therefore, the given proposition \"mellefont is not the parent of arabella\" is not entailed by the text.\n",
      "Based on the given German text MARWOOD. Ja, Miß, eine unglückliche Tochter verlieret durch die Darzwischenkunft der Sara Sampson alle Hoffnung, ihre Eltern jemals ohne Abscheu nennen zu können. SARA., we can deduce the following logical statement:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "\n",
      "The text does not provide any information about the parentage of CHILD[MELLEFONT], and therefore does not entail the proposition mellefont is not the parent of CHILD[MELLEFONT].\n",
      "Based on the given text, we can deduce the following:\n",
      "\n",
      "1. Marwood mentioned a pledge, and Norton, who is chatty, named a name, which is Mellefont.\n",
      "2. Mellefont is said to have a different kind of affection for the speaker than the speaker has for Mellefont.\n",
      "\n",
      "From these two points, we can infer that Mellefont is a person known to the speaker, and there is some kind of relationship between them. However, the text does not explicitly state that Mellefont is the parent of Arabella.\n",
      "\n",
      "Therefore, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "Based on the given German text, it is not possible to determine whether the second proposition SIBLING[SALADIN] and saladin are siblings. The text does not provide any information about the sibling relationship between Saladin and the speaker. Therefore, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "Based on the given German text, we can deduce the following information:\n",
      "\n",
      "1. The speaker's wife and seven sons were killed by Christians in Gath.\n",
      "2. The speaker is a male, as he uses the pronoun \"meine Frau\" (my wife) and \"meines Bruders Hause\" (my brother's house).\n",
      "\n",
      "From these two points, we can infer that the speaker is a male and his spouse (wife) is dead, but we cannot conclude that Nathan is the speaker's spouse. Therefore, the proposition \"SPOUSE[NATHAN] and nathan are spouses\" is not entailed by the given text.\n",
      "\n",
      "So, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "Based on the given German text, we can deduce the following:\n",
      "\n",
      "1. The speaker's wife and seven sons were killed by Christians in Gath.\n",
      "2. The speaker is a Jew.\n",
      "\n",
      "From these two points, we can infer that the speaker is not the father of Nathan, as there is no mention of Nathan in the text and the speaker's focus is on the death of his wife and sons. Therefore, the proposition \"CHILDREN[NATHAN] is not the child of nathan\" is entailed by the given text.\n",
      "\n",
      "So, the answer is:\n",
      "\n",
      "a.) Yes, the proposition is entailed by the given text.\n",
      "Based on the given German text, we can deduce the following information:\n",
      "\n",
      "1. The speaker's wife and seven sons were killed by Christians in Gath.\n",
      "2. The speaker's wife was a Jew.\n",
      "\n",
      "However, there is no information in the text about the speaker's relationship with Nathan, nor is there any mention of Nathan being a sibling of the speaker. Therefore, we cannot deduce whether SIBLING[NATHAN] and nathan are siblings based on the given text.\n",
      "\n",
      "So, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "Based on the given texts, we can make the following logical statement:\n",
      "\n",
      "b.) No, the proposition SIBLING[RECHA] and recha are siblings is not entailed by the German text NATHAN. Besonders hat ein Bruder sich gefunden, Bei dem Ihr um sie werben müßt. TEMPELHERR.\n",
      "\n",
      "The reason is that the German text only mentions a brother (Bruder) of Nathan, but it does not provide any information about the sibling relationship between Nathan and Recha. Therefore, we cannot infer that Recha is a sibling of Nathan based solely on the given text.\n",
      "Based on the given texts, we can make the following logical statement:\n",
      "\n",
      "b.) No, the proposition SIBLING[RECHA] and recha are siblings is not entailed by the German text NATHAN. Ihr Bruder! SALADIN.\n",
      "\n",
      "The reason is that the German text only mentions a brother named Nathan, and does not provide any information about the sibling relationship between Nathan and Recha. Therefore, we cannot infer that Recha is a sibling of Nathan based solely on the given text.\n",
      "Based on the given German text NATHAN. Seid Ihr! TEMPELHERR., we cannot determine whether the proposition \"tempelherr and recha are siblings\" is entailed.\n",
      "\n",
      "The text only provides information about the identity of Nathan and the fact that he is addressing someone (presumably Tempelherr). It does not contain any information about the relationship between Tempelherr and Recha. Therefore, we cannot infer anything about their sibling status.\n",
      "\n",
      "So, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "Sure, I can help you with that!\n",
      "\n",
      "Based on the given German text CLAUDIA. Mein Gemahl? Ist es möglich? and the second proposition SPOUSE[CLAUDIA] and claudia are spouses., we can make the following logical statement:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "\n",
      "Here's why:\n",
      "\n",
      "The German text CLAUDIA. Mein Gemahl? Ist es möglich? simply asks if Claudia is a spouse, but it does not provide any information about the existence of a spouse named Claudia. The second proposition SPOUSE[CLAUDIA] and claudia are spouses. assumes that a spouse named Claudia exists, but the first text does not entail that assumption. Therefore, the second proposition is not entailed by the first text.\n",
      "Sure, I can help you with that!\n",
      "\n",
      "Based on the given German text \"Wen könnte sie sonst lieben, als meinen Sohn?\", we can infer the following logical statement:\n",
      "\n",
      "a.) Yes, the proposition \"willhelm is not the parent of karl\" is entailed by the given text.\n",
      "\n",
      "Explanation:\n",
      "\n",
      "The text \"Wen könnte sie sonst lieben, als meinen Sohn?\" (Who could they love else, as my son?) implies that the speaker considers someone (Karl) as their son, and therefore, it is unlikely that Willhelm is the parent of Karl. This inference is based on the common understanding that a person is unlikely to love someone else's child as their own, especially if they consider that person as their own son.\n",
      "\n",
      "Therefore, the second proposition \"willhelm is not the parent of karl\" is entailed by the given text.\n",
      "Based on the given German text, it is not possible to determine whether the second proposition [PARENT 1, PARENT 2] is the child of lucie. The text does not provide any information about the parents of lucie or any other individuals. Therefore, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "Based on the given German text, we cannot determine whether the proposition \"lucie and karl are siblings\" is entailed. The text does not provide any information about the relationship between lucie and karl, and it does not mention their names at all. Therefore, we cannot infer anything about their sibling status.\n",
      "\n",
      "So, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "Based on the given German text, it is not possible to determine whether the proposition \"karl and lucie are spouses\" is entailed. The text does not contain any information about the relationship between Karl and Lucie, and it does not provide any logical implications that would lead to the conclusion that they are spouses. Therefore, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "Based on the given German text, it is not possible to determine whether the second proposition CHILD[MARIA] is the child of maria. is entailed. The German text does not provide any information about the relationship between Maria and Child[Maria]. Therefore, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "Based on the given German text, it is not possible to determine whether the second proposition [don_manuel, don_cesar] and SIBLING 1 are spouses. The text does not provide any information about the relationship between the individuals mentioned.\n",
      "\n",
      "Therefore, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "Sure, I can help you with that!\n",
      "\n",
      "Based on the given German text DON MANUEL. Don Cesar ist mein Bruder. BEATRICE., we can infer the following information:\n",
      "\n",
      "1. Don Manuel and Don Cesar are brothers (this is explicitly stated in the text).\n",
      "2. Beatrice is a character who is addressing Don Manuel (this is implied by the phrase \"DON MANUEL. Don Cesar ist mein Bruder. BEATRICE\").\n",
      "\n",
      "Now, let's examine the second proposition: don_manuel and don_cesar are siblings.\n",
      "\n",
      "This proposition is not explicitly stated in the given text. However, we can infer that don_manuel and don_cesar are siblings based on the fact that Don Manuel and Don Cesar are brothers. Therefore, the second proposition is entailed by the given text.\n",
      "\n",
      "So, the answer is:\n",
      "\n",
      "a.) Yes, the proposition is entailed by the given text.\n",
      "Sure, I can help you with that!\n",
      "\n",
      "Based on the given German text ISABELLA. Ich, deine Mutter, bin Messinas Fürstin. BEATRICE., we can infer the following information:\n",
      "\n",
      "1. ISABELLA is the mother of BEATRICE.\n",
      "2. ISABELLA is a princess of Messina.\n",
      "\n",
      "From these two inferences, we can deduce that ISABELLA is the parent of BEATRICE, which means that the second proposition is entailed by the given text.\n",
      "\n",
      "Therefore, the answer is:\n",
      "\n",
      "a.) Yes, the proposition is entailed by the given text.\n",
      "Based on the given German text, we can make the following logical statement:\n",
      "\n",
      "b.) No, the proposition \"der_alte_moor is not the parent of karl_von_moor\" is not entailed by the given text.\n",
      "\n",
      "The text mentions a father who has fallen into disgrace, and the speaker is lamenting the father's fate, but it does not provide any information about the parentage of karl_von_moor. Therefore, the second proposition is not logically implied by the first text.\n",
      "Based on the given German text FÜRST. Mein Sohn, lieber Arpard. GRAF, we can determine whether the second proposition CHILD[FUERST] is the child of fuerst.\n",
      "\n",
      "The German word \"FÜRST\" means \"prince\" or \"noble,\" and \"GRAF\" means \"count.\" Therefore, the text can be interpreted as \"My son, dear Arpard, prince and count.\"\n",
      "\n",
      "The second proposition CHILD[FUERST] is not explicitly mentioned in the given text. Therefore, we cannot conclude that CHILD[FUERST] is the child of fuerst. based on the given text alone.\n",
      "\n",
      "So, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "Based on the given German text, we can deduce the following information:\n",
      "\n",
      "1. The speaker has brought something heavy.\n",
      "2. The something heavy was given to the speaker eight days after it was born.\n",
      "3. The speaker is a parent of the something heavy (using the word \"hab' hergeben\" which implies parental relationship).\n",
      "\n",
      "From these deductions, we can conclude that the speaker is a parent of the child FÜRST. Therefore, the proposition \"komtesse is the parent of CHILD[FUERST]\" is entailed by the given text.\n",
      "\n",
      "So, the answer is:\n",
      "\n",
      "a.) Yes, the proposition is entailed by the given text.\n",
      "Based on the given German text, we can deduce the following information:\n",
      "\n",
      "1. The speaker has a son named Philipp.\n",
      "2. The speaker's son is a child.\n",
      "3. The speaker's son is a male (as \"Sohn\" is a masculine noun in German).\n",
      "\n",
      "However, we cannot deduce whether Philipp is the child of Fürst based on the given text. There is no information in the text about Philipp's parentage or lineage. Therefore, the proposition \"philipp is the child of fuerst\" is not entailed by the given text.\n",
      "\n",
      "So, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "Based on the given German text, it is not possible to determine whether the second proposition \"philipp is the child of fuerst\" is entailed. The text does not provide any information about Philipp's parentage or any other relevant information about Philipp. Therefore, answer (b) is the correct answer.\n",
      "Based on the given German text, we can make the following logical statement:\n",
      "\n",
      "b.) No, the proposition \"lolo is not the child of graf\" is not entailed by the given text.\n",
      "\n",
      "Here's why:\n",
      "\n",
      "The text states that Lolo is the natural daughter of the Graf (count), but it does not explicitly state that Lolo is not the child of Graf. In fact, the text suggests the opposite - that Lolo is the sister of the Komtesse (countess), which implies that she is the child of the Graf. Therefore, the second proposition \"lolo is not the child of graf\" is not entailed by the given text.\n",
      "Sure, I can help you with that!\n",
      "\n",
      "After carefully analyzing the two texts, I can conclude that:\n",
      "\n",
      "b.) No, the proposition \"lolo is the parent of philipp\" is not entailed by the given German text Wenn es meine Mutter wäre, die soeben durch diese merkwürdige Verkettung der Umstände, in demselben Wagen, in dem ich herausgekommen bin, in die Stadt hineinfährt? Wenn es meine eigene Mutter wäre, die ich aus der Zeitung herausgeschnitten habe –? FÜRST.\n",
      "\n",
      "Here's why:\n",
      "\n",
      "The German text is talking about a hypothetical situation where the speaker's mother is driving the same car that the speaker has just come out of, and it mentions the speaker's mother being described in the newspaper. However, there is no direct reference to the parentage of Philipp or lolo in the text. Therefore, we cannot logically conclude that lolo is the parent of philipp based on the given text alone.\n",
      "\n",
      "So, the correct answer is b.) No, the proposition is not entailed by the given text.\n",
      "Based on the given German text, it is not possible to determine whether the second proposition \"siegmund and SIBLING[SIEGMUND] are spouses\" is entailed. The text does not provide any information about the relationship between Friedmund and Siegmund, and it does not mention the word \"spouses\" or any similar term. Therefore, the answer is (b) No, the proposition is not entailed by the given text.\n",
      "Based on the given German text, we can infer the following information:\n",
      "\n",
      "1. Wotan is the father of Bruennhilde, as mentioned in the text.\n",
      "2. Bruennhilde is on a high rocky outcropping, looking down into a rear valley.\n",
      "3. She is calling out to Wotan and advising him to prepare himself for a fierce storm.\n",
      "4. Fricka, Wotan's wife, is approaching in a wagon with a team of wild boars.\n",
      "\n",
      "However, the text does not explicitly state that Wotan is the parent of Bruennhilde. Therefore, we cannot deduce that the second proposition (wotan is the parent of bruennhilde) is entailed by the given text.\n",
      "\n",
      "So, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "Based on the given German text, we can infer the following information:\n",
      "\n",
      "1. Wotan and Fricka are married, as the text refers to Fricka as \"deine Frau\" (your wife).\n",
      "2. Wotan is addressed as \"Vater\" (father), indicating a familial relationship between Wotan and the speaker.\n",
      "3. Fricka is described as riding in a wagon with a team of goats (Widdergespann), suggesting that she is traveling with Wotan.\n",
      "4. The text mentions a \"gold'ne Geißel\" (golden goad) that Fricka swings, which may indicate that she has some kind of authority or power.\n",
      "\n",
      "However, the text does not explicitly state that Wotan and Fricka are spouses. Therefore, we cannot deduce with certainty that the proposition \"Wotan and Fricka are spouses\" is entailed by the given text.\n",
      "\n",
      "So, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n",
      "Based on the given texts, we can make the following logical statements:\n",
      "\n",
      "1. The German text schnell. Durch den Wucher ihres Vaters erworben. GEHRMANN. implies that the father of the fiancée acquired something quickly through usury.\n",
      "2. The proposition PARENT[FIANCÉE[AUGUST]] is the parent of FIANCÉE[AUGUST]. is a separate statement that does not necessarily follow from the German text.\n",
      "\n",
      "Therefore, the answer is b.) No, the proposition is not entailed by the given text. The German text does not provide enough information to determine the parentage of the fiancée.\n",
      "Based on the given German text MADAME WÖLBING. Eine Tochter, mein Herr. AUGUST., we can deduce the following information:\n",
      "\n",
      "1. Madame Wölbing has a daughter.\n",
      "2. The daughter's name is August.\n",
      "\n",
      "However, we cannot deduce whether the daughter is the child of Madame Wölbing or not. The text only provides information about the daughter's name and her relationship with Madame Wölbing as her daughter, but it does not explicitly state that the daughter is the child of Madame Wölbing.\n",
      "\n",
      "Therefore, the answer is:\n",
      "\n",
      "b.) No, the proposition is not entailed by the given text.\n"
     ]
    }
   ],
   "source": [
    "results = []\n",
    "for index, row in df_know.iterrows():\n",
    "  proposition = row['proposition']\n",
    "  text = row['context']\n",
    "  prompt = f\"\"\"\n",
    "  <s>[INST]\\n\n",
    "\n",
    "  Consider the following two texts:\n",
    "\n",
    "  1. German text: {text}\n",
    "  2. {proposition}\n",
    "\n",
    "  Can you determine whether the second proposition {proposition} is entailed by the German text {text}?\n",
    "\n",
    "  Please provide your answer in the form of a logical statement:\n",
    "  a.) Yes, the proposition is entailed by the given text.\n",
    "  b.) No, the proposition is not entailed by the given text.\n",
    "  Your answer:\n",
    "  [/INST]\n",
    "  \"\"\"\n",
    "  res = generate(prompt)\n",
    "  print(res)\n",
    "  results.append(res)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "KdSTlRp9LIxh",
   "metadata": {
    "id": "KdSTlRp9LIxh"
   },
   "outputs": [],
   "source": [
    "pred = []\n",
    "for i in results:\n",
    "    if \"Yes, the proposition\" in i:\n",
    "        pred.append(\"entail\")\n",
    "    else:\n",
    "        pred.append(\"not entail\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "-utVUeu9ImVo",
   "metadata": {
    "id": "-utVUeu9ImVo"
   },
   "outputs": [],
   "source": [
    "results_se = pd.Series(pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "boDC60nIMzw4",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "boDC60nIMzw4",
    "outputId": "e6421d03-4a3f-4606-8733-85304faf2cc7"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "not entail    76\n",
       "entail        13\n",
       "dtype: int64"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results_se.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "VIfrYs0jUGmu",
   "metadata": {
    "id": "VIfrYs0jUGmu"
   },
   "source": [
    "### Runing Prompts on Two-Sentences"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "ycEIIQStXBdP",
   "metadata": {
    "id": "ycEIIQStXBdP"
   },
   "outputs": [],
   "source": [
    "from sklearn.metrics import f1_score\n",
    "from sklearn.metrics import accuracy_score\n",
    "from sklearn.metrics import recall_score\n",
    "from sklearn.metrics import precision_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "IVdDOXH-lE3E",
   "metadata": {
    "id": "IVdDOXH-lE3E"
   },
   "outputs": [],
   "source": [
    "from sklearn.metrics import classification_report"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "kr4S-hivWOI1",
   "metadata": {
    "id": "kr4S-hivWOI1"
   },
   "outputs": [],
   "source": [
    "ground_truth = df_know.classification\n",
    "predictions = results_se"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "IgeXeS2FlI-7",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "IgeXeS2FlI-7",
    "outputId": "d2088314-5cd6-45e7-bf83-361cfbf15abc"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "      entail       0.54      0.14      0.22        50\n",
      "   no entail       0.43      0.85      0.57        39\n",
      "\n",
      "    accuracy                           0.45        89\n",
      "   macro avg       0.49      0.49      0.40        89\n",
      "weighted avg       0.49      0.45      0.38        89\n",
      "\n"
     ]
    }
   ],
   "source": [
    "target_names = ['entail', 'no entail']\n",
    "print(classification_report(ground_truth, predictions, target_names=target_names))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "sVL03BQDWOSs",
   "metadata": {
    "colab": {
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     "height": 80
    },
    "id": "sVL03BQDWOSs",
    "outputId": "5ba344ac-811a-4b03-9b94-6b1be160ffd1"
   },
   "outputs": [
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