Llama2_Data_Tamplating.ipynb

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            "\u001b[?25h\n",
            "    _|    _|  _|    _|    _|_|_|    _|_|_|  _|_|_|  _|      _|    _|_|_|      _|_|_|_|    _|_|      _|_|_|  _|_|_|_|\n",
            "    _|    _|  _|    _|  _|        _|          _|    _|_|    _|  _|            _|        _|    _|  _|        _|\n",
            "    _|_|_|_|  _|    _|  _|  _|_|  _|  _|_|    _|    _|  _|  _|  _|  _|_|      _|_|_|    _|_|_|_|  _|        _|_|_|\n",
            "    _|    _|  _|    _|  _|    _|  _|    _|    _|    _|    _|_|  _|    _|      _|        _|    _|  _|        _|\n",
            "    _|    _|    _|_|      _|_|_|    _|_|_|  _|_|_|  _|      _|    _|_|_|      _|        _|    _|    _|_|_|  _|_|_|_|\n",
            "\n",
            "    To login, `huggingface_hub` requires a token generated from https://huggingface.co/settings/tokens .\n",
            "Token: \n",
            "Add token as git credential? (Y/n) n\n",
            "Token is valid (permission: write).\n",
            "Your token has been saved to /root/.cache/huggingface/token\n",
            "Login successful\n"
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      "source": [
        "!pip install -q datasets\n",
        "!huggingface-cli login"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "a2zOyYkSBtXu"
      },
      "source": [
        "### Idioms Customs Dataset"
      ]
    },
    {
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      "outputs": [
        {
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          "text": [
            "100%|██████████| 785/785 [00:00<00:00, 94907.43it/s]\n"
          ]
        }
      ],
      "source": [
        "import pandas as pd\n",
        "from sklearn.model_selection import train_test_split\n",
        "import random\n",
        "from tqdm import tqdm\n",
        "\n",
        "# Load the dataset from an Excel file\n",
        "df = pd.read_excel('Idioms_Context.xlsx', engine='openpyxl')\n",
        "\n",
        "# Define a function to create various response formats for the idiom\n",
        "def create_idiom_response(row):\n",
        "    idiom = row['Idiom']\n",
        "    context = row['Example']\n",
        "    response_templates = [\n",
        "        f\"The idiom '{idiom}' is used.\",\n",
        "        f\"In this sentence, the idiom '{idiom}' is illustrated.\",\n",
        "        f\"Here, '{idiom}' is the expression in play.\",\n",
        "        f\"This example showcases the idiom '{idiom}'.\",\n",
        "        f\"Idiom present: '{idiom}'.\",\n",
        "    ]\n",
        "    # Randomly select a template for the response\n",
        "    response = random.choice(response_templates)\n",
        "    response = response.replace('\"', '')\n",
        "    context = context.replace('\"', '')\n",
        "    return f\"\\\"<s>[INST] {context} [/INST] {response}</s>\\\"\"\n",
        "\n",
        "# Register pandas progress_apply with tqdm\n",
        "tqdm.pandas()\n",
        "\n",
        "# Apply the function with a progress bar\n",
        "df['transformed'] = df.progress_apply(create_idiom_response, axis=1)\n",
        "\n",
        "# Split the data into train and test sets\n",
        "train_df, test_df = train_test_split(df['transformed'], test_size=0.2, random_state=42)\n",
        "\n",
        "# Write the train and test sets to CSV files\n",
        "train_df.to_csv('train.csv', index=False, header=\"Prompt\")\n",
        "test_df.to_csv('test.csv', index=False, header=\"Prompt\")"
      ]
    },
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        },
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              "443    \"<s>[INST] I've met a lot of people in my life...\n",
              "210    \"<s>[INST] Bob's wife reminded him that a bird...\n",
              "133    \"<s>[INST] Tom was at the end of his rope when...\n",
              "741    \"<s>[INST] Despite their differences, they wer...\n",
              "519    \"<s>[INST] Despite the fact that it was the mi...\n",
              "Name: transformed, dtype: object"
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          },
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      ],
      "source": [
        "# df = pd.read_csv('/content/combined.csv')\n",
        "# train_df, test_df = train_test_split(df, test_size=0.2, random_state=42)\n",
        "# train_df.to_csv('train.csv', index=False, header=False)\n",
        "# test_df.to_csv('test.csv', index=False, header=False)\n",
        "train_df.head()"
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              "Uploading the dataset shards:   0%|          | 0/1 [00:00<?, ?it/s]"
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              "Creating parquet from Arrow format:   0%|          | 0/1 [00:00<?, ?ba/s]"
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              "CommitInfo(commit_url='https://huggingface.co/datasets/SnehitVaddi/Idiomology_Lama2_7B_Chat/commit/715dedde47c3da1796ff2c36ce3064bea2264c5f', commit_message='Upload dataset', commit_description='', oid='715dedde47c3da1796ff2c36ce3064bea2264c5f', pr_url=None, pr_revision=None, pr_num=None)"
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        "transformed_dataset.push_to_hub(\"SnehitVaddi/Idiomology_Lama2_7B_Chat\")"
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