transforms/transforms-1.0-lang-ray-Windows.ipynb

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   "source": [
    "##### **** These pip install need to be adapted to use the appropriate release level. Currently used for testing alpha release of transforms 1.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4c45c3c6-e4d7-4e61-8de6-32d61f2ce695",
   "metadata": {
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    "scrolled": true
   },
   "outputs": [],
   "source": [
    "%%capture\n",
    "!pip install \"data-prep-toolkit[ray]==0.2.3.post1\"\n",
    "!pip install \"data-prep-toolkit-transforms[language]\"\n",
    "!pip install fasttext-wheel\n",
    "import pyarrow.parquet as pq\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c276c60e",
   "metadata": {
    "id": "c276c60e"
   },
   "source": [
    "Configure and run web2parquet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b6c89ac7-6824-4d99-8120-7d5b150bd683",
   "metadata": {
    "id": "b6c89ac7-6824-4d99-8120-7d5b150bd683"
   },
   "outputs": [],
   "source": [
    "%%capture\n",
    "import urllib.request, os\n",
    "os.mkdir(\"files-web2parquet\", exist_ok=True)\n",
    "urllib.request.urlretrieve(\"https://arxiv.org/pdf/2408.09869\", \n",
    "                           \"files-web2parquet/2408.09869.pdf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c3df5adf-4717-4a03-864d-9151cd3f134b",
   "metadata": {
    "id": "c3df5adf-4717-4a03-864d-9151cd3f134b"
   },
   "outputs": [],
   "source": [
    "##### **** The specified downloads folder will include the downloaded file(s).\n",
    "#import glob\n",
    "#glob.glob(\"files-web2parquet/*\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bd71fe8a",
   "metadata": {
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   "source": [
    "Configure and run Pdf2Parquet"
   ]
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    "outputId": "0481ad6a-8582-4a1b-ffbe-afe0cff7c0e3"
   },
   "outputs": [],
   "source": [
    "from dpk_pdf2parquet.ray.transform import Pdf2Parquet\n",
    "Pdf2Parquet(input_folder= \"files-web2parquet\",\n",
    "               output_folder= \"files-pdf2parquet\",\n",
    "               data_files_to_use=['.pdf'],\n",
    "               run_locally= True,\n",
    "               pdf2parquet_contents_type='text/markdown').transform()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fef6667e-71ed-4054-9382-55c6bb3fda70",
   "metadata": {
    "id": "fef6667e-71ed-4054-9382-55c6bb3fda70"
   },
   "outputs": [],
   "source": [
    "##### **** To explote the output from pdf2parquet, run the code below\n",
    "#table = pq.read_table('files-pdf2parquet/arxiv_org_2408.09869v5.pdf_application.parquet')\n",
    "#table.to_pandas()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "54cba5c4",
   "metadata": {
    "id": "54cba5c4"
   },
   "source": [
    "Configure and Run DocChunk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fe8bf1bc",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "fe8bf1bc",
    "outputId": "994bb21e-d0ea-4fb0-f159-bd37748f4e12"
   },
   "outputs": [],
   "source": [
    "%%capture\n",
    "from dpk_doc_chunk.ray.transform import DocChunk\n",
    "DocChunk(input_folder='files-pdf2parquet',\n",
    "        output_folder='files-doc-chunk',\n",
    "        run_locally= True,\n",
    "        doc_chunk_chunking_type= \"li_markdown\").transform()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9d4f7bfc",
   "metadata": {
    "id": "9d4f7bfc"
   },
   "outputs": [],
   "source": [
    "##### **** To explote the output from doc-chunk, run the code below\n",
    "#table = pq.read_table('files-doc-chunk/arxiv_org_2408.09869v5.pdf_application.parquet')\n",
    "#table.to_pandas()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "349cf6ff",
   "metadata": {
    "id": "349cf6ff"
   },
   "source": [
    "Configure and Run Exact dedup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "38480cd5",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "38480cd5",
    "outputId": "a65248a1-26ba-4cd9-9d7e-592d691d9e15"
   },
   "outputs": [],
   "source": [
    "from dpk_ededup.ray.transform import Ededup\n",
    "Ededup(input_folder=\"files-doc-chunk\",\n",
    "    output_folder=\"files-ededup\",\n",
    "    ededup_doc_column=\"contents\",\n",
    "    run_locally= True,\n",
    "    ededup_num_hashes= 2,\n",
    "    ededup_doc_id_column=\"document_id\").transform()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "27e36a8e",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "id": "27e36a8e",
    "outputId": "98e4afdc-7cd3-4afa-a59b-065498e2f29b"
   },
   "outputs": [],
   "source": [
    "##### **** To explote the output from eDedup, run the code below\n",
    "#table = pq.read_table('files-ededup/arxiv_org_2408.09869v5.pdf_application.parquet')\n",
    "#table.to_pandas()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "318bc520",
   "metadata": {
    "id": "318bc520"
   },
   "source": [
    "Configure and run Lang Id"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ad27a462",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 511,
     "referenced_widgets": [
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    "outputId": "c43f3823-3608-4be3-a267-e5a82e860bf8"
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   "outputs": [],
   "source": [
    "from dpk_lang_id.ray.transform import LangId\n",
    "LangId(input_folder= \"files-ededup\",\n",
    "        output_folder= \"files-langId\",\n",
    "        lang_id_model_credential= \"PUT YOUR OWN HUGGINGFACE CREDENTIAL\",\n",
    "        lang_id_model_kind= \"fasttext\",\n",
    "        lang_id_model_url= \"facebook/fasttext-language-identification\",\n",
    "        run_locally= True,\n",
    "        lang_id_content_column_name= \"contents\").transform()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c35cab2e",
   "metadata": {
    "id": "c35cab2e"
   },
   "outputs": [],
   "source": [
    "##### **** To explote the output from langId, run the code below\n",
    "#table = pq.read_table('files-langId/arxiv_org_2408.09869v5.pdf_application.parquet')\n",
    "#table.to_pandas()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a968dbb4",
   "metadata": {
    "id": "a968dbb4"
   },
   "source": [
    "Configure and run Doc Quality"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4e84ce78",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "4e84ce78",
    "outputId": "e288c3fc-b77a-4dba-f270-0d2e08eaa60b"
   },
   "outputs": [],
   "source": [
    "%%capture\n",
    "from dpk_doc_quality.ray.transform import DocQuality\n",
    "DocQuality(input_folder='files-doc-chunk',\n",
    "            output_folder= 'files-doc-quality',\n",
    "            docq_text_lang = \"en\",\n",
    "            run_locally= True,\n",
    "            docq_doc_content_column =\"contents\").transform()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d98b854f",
   "metadata": {
    "id": "d98b854f"
   },
   "outputs": [],
   "source": [
    "##### **** To explote the output from Doc Quality, run the code below\n",
    "#table = pq.read_table('files-doc-quality/arxiv_org_2408.09869v5.pdf_application.parquet')\n",
    "#table.to_pandas()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a6230859",
   "metadata": {
    "id": "a6230859"
   },
   "source": [
    "Run tokenization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7b454872",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 411
    },
    "id": "7b454872",
    "outputId": "2e5223fb-918a-4d57-ea90-ee395e6afc7f"
   },
   "outputs": [],
   "source": [
    "%%capture\n",
    "from dpk_tokenization.ray.transform import Tokenization\n",
    "Tokenization(input_folder= \"files-doc-quality\",\n",
    "        output_folder= \"files-tokenization\",\n",
    "        tkn_tokenizer=  \"hf-internal-testing/llama-tokenizer\",\n",
    "        run_locally= True,\n",
    "        tkn_chunk_size= 20_000).transform()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fd9bf9f3-3c59-4efb-9d7e-0201d6d8d783",
   "metadata": {
    "id": "fd9bf9f3-3c59-4efb-9d7e-0201d6d8d783"
   },
   "outputs": [],
   "source": [
    "##### **** To explote the output from Doc Quality, run the code below\n",
    "#table = pq.read_table('files-tokenization/arxiv_org_2408.09869v5.pdf_application.parquet')\n",
    "#table.to_pandas()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "pXenGEKtfhBo",
   "metadata": {
    "id": "pXenGEKtfhBo"
   },
   "source": [
    "Configure and run DocId"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "gl-oiZybfmBf",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "gl-oiZybfmBf",
    "outputId": "191e9f7f-4de6-408c-902d-c4fe8c51516e"
   },
   "outputs": [],
   "source": [
    "from dpk_doc_id.transform_python import DocID\n",
    "DocID(input_folder= \"files-doc-chunk\",\n",
    "        output_folder= \"files-doc-id\",\n",
    "        doc_id_doc_column= \"contents\",\n",
    "        doc_id_hash_column= \"document_id\",\n",
    "        doc_id_int_column= \"int_id_column\",\n",
    "        doc_id_start_id= 5).transform()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "Zm7IfuVng38C",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "id": "Zm7IfuVng38C",
    "outputId": "2a2e4240-4c18-4758-daa8-d33a0e84f2f1"
   },
   "outputs": [],
   "source": [
    "##### **** To explote the output from Doc Quality, run the code below\n",
    "#table = pq.read_table('files-doc-id/arxiv_org_2408.09869v5.pdf_application.parquet')\n",
    "#table.to_pandas()"
   ]
  }
 ],
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