{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "id": "YP3vVkqYUpLx" }, "outputs": [], "source": [ "import os\n", "import shutil" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "AWly9SmkgSwE", "outputId": "8af190ed-5037-4e3b-b91b-b5286d8e0888" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Reading package lists... Done\n", "Building dependency tree \n", "Reading state information... Done\n", "The following packages were automatically installed and are no longer required:\n", " cuda-command-line-tools-10-0 cuda-command-line-tools-10-1\n", " cuda-command-line-tools-11-0 cuda-compiler-10-0 cuda-compiler-10-1\n", " cuda-compiler-11-0 cuda-cuobjdump-10-0 cuda-cuobjdump-10-1\n", " cuda-cuobjdump-11-0 cuda-cupti-10-0 cuda-cupti-10-1 cuda-cupti-11-0\n", " cuda-cupti-dev-11-0 cuda-documentation-10-0 cuda-documentation-10-1\n", " cuda-documentation-11-0 cuda-documentation-11-1 cuda-gdb-10-0 cuda-gdb-10-1\n", " cuda-gdb-11-0 cuda-gpu-library-advisor-10-0 cuda-gpu-library-advisor-10-1\n", " cuda-libraries-10-0 cuda-libraries-10-1 cuda-libraries-11-0\n", " cuda-memcheck-10-0 cuda-memcheck-10-1 cuda-memcheck-11-0 cuda-nsight-10-0\n", " cuda-nsight-10-1 cuda-nsight-11-0 cuda-nsight-11-1 cuda-nsight-compute-10-0\n", " cuda-nsight-compute-10-1 cuda-nsight-compute-11-0 cuda-nsight-compute-11-1\n", " cuda-nsight-systems-10-1 cuda-nsight-systems-11-0 cuda-nsight-systems-11-1\n", " cuda-nvcc-10-0 cuda-nvcc-10-1 cuda-nvcc-11-0 cuda-nvdisasm-10-0\n", " cuda-nvdisasm-10-1 cuda-nvdisasm-11-0 cuda-nvml-dev-10-0 cuda-nvml-dev-10-1\n", " cuda-nvml-dev-11-0 cuda-nvprof-10-0 cuda-nvprof-10-1 cuda-nvprof-11-0\n", " cuda-nvprune-10-0 cuda-nvprune-10-1 cuda-nvprune-11-0 cuda-nvtx-10-0\n", " cuda-nvtx-10-1 cuda-nvtx-11-0 cuda-nvvp-10-0 cuda-nvvp-10-1 cuda-nvvp-11-0\n", " cuda-nvvp-11-1 cuda-samples-10-0 cuda-samples-10-1 cuda-samples-11-0\n", " cuda-samples-11-1 cuda-sanitizer-11-0 cuda-sanitizer-api-10-1\n", " cuda-toolkit-10-0 cuda-toolkit-10-1 cuda-toolkit-11-0 cuda-toolkit-11-1\n", " cuda-tools-10-0 cuda-tools-10-1 cuda-tools-11-0 cuda-tools-11-1\n", " cuda-visual-tools-10-0 cuda-visual-tools-10-1 cuda-visual-tools-11-0\n", " cuda-visual-tools-11-1 default-jre dkms freeglut3 freeglut3-dev\n", " keyboard-configuration libargon2-0 libcap2 libcryptsetup12\n", " libdevmapper1.02.1 libfontenc1 libidn11 libip4tc0 libjansson4\n", " libnvidia-cfg1-510 libnvidia-common-460 libnvidia-common-510\n", " libnvidia-extra-510 libnvidia-fbc1-510 libnvidia-gl-510 libpam-systemd\n", " libpolkit-agent-1-0 libpolkit-backend-1-0 libpolkit-gobject-1-0 libxfont2\n", " libxi-dev libxkbfile1 libxmu-dev libxmu-headers libxnvctrl0 libxtst6\n", " nsight-compute-2020.2.1 nsight-compute-2022.1.0 nsight-systems-2020.3.2\n", " nsight-systems-2020.3.4 nsight-systems-2021.5.2 nvidia-dkms-510\n", " nvidia-kernel-common-510 nvidia-kernel-source-510 nvidia-modprobe\n", " nvidia-settings openjdk-11-jre policykit-1 policykit-1-gnome python3-xkit\n", " screen-resolution-extra systemd systemd-sysv udev x11-xkb-utils\n", " xserver-common xserver-xorg-core-hwe-18.04 xserver-xorg-video-nvidia-510\n", "Use 'sudo apt autoremove' to remove them.\n", "The following NEW packages will be installed:\n", " git-lfs tree\n", "0 upgraded, 2 newly installed, 0 to remove and 39 not upgraded.\n", "Need to get 2,169 kB of archives.\n", "After this operation, 7,767 kB of additional disk space will be used.\n", "Get:1 http://archive.ubuntu.com/ubuntu bionic/universe amd64 git-lfs amd64 2.3.4-1 [2,129 kB]\n", "Get:2 http://archive.ubuntu.com/ubuntu bionic/universe amd64 tree amd64 1.7.0-5 [40.7 kB]\n", "Fetched 2,169 kB in 1s (1,467 kB/s)\n", "debconf: unable to initialize frontend: Dialog\n", "debconf: (No usable dialog-like program is installed, so the dialog based frontend cannot be used. at /usr/share/perl5/Debconf/FrontEnd/Dialog.pm line 76, <> line 2.)\n", "debconf: falling back to frontend: Readline\n", "debconf: unable to initialize frontend: Readline\n", "debconf: (This frontend requires a controlling tty.)\n", "debconf: falling back to frontend: Teletype\n", "dpkg-preconfigure: unable to re-open stdin: \n", "Selecting previously unselected package git-lfs.\n", "(Reading database ... 155113 files and directories currently installed.)\n", "Preparing to unpack .../git-lfs_2.3.4-1_amd64.deb ...\n", "Unpacking git-lfs (2.3.4-1) ...\n", "Selecting previously unselected package tree.\n", "Preparing to unpack .../tree_1.7.0-5_amd64.deb ...\n", "Unpacking tree (1.7.0-5) ...\n", "Setting up tree (1.7.0-5) ...\n", "Setting up git-lfs (2.3.4-1) ...\n", "Processing triggers for man-db (2.8.3-2ubuntu0.1) ...\n" ] } ], "source": [ "!sudo apt-get install git-lfs tree" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "OWGc_zfyq5_T", "outputId": "35ea3459-6f2d-449c-e717-74e7a27c41bf" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Collecting datasets\n", " Downloading datasets-1.18.3-py3-none-any.whl (311 kB)\n", "\u001b[K |████████████████████████████████| 311 kB 8.0 MB/s \n", "\u001b[?25hCollecting transformers\n", " Downloading transformers-4.16.2-py3-none-any.whl (3.5 MB)\n", "\u001b[K |████████████████████████████████| 3.5 MB 49.8 MB/s \n", "\u001b[?25hCollecting xxhash\n", " Downloading xxhash-2.0.2-cp37-cp37m-manylinux2010_x86_64.whl (243 kB)\n", "\u001b[K 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PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (596 kB)\n", "\u001b[K |████████████████████████████████| 596 kB 48.6 MB/s \n", "\u001b[?25hCollecting tokenizers!=0.11.3,>=0.10.1\n", " Downloading tokenizers-0.11.4-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (6.8 MB)\n", "\u001b[K |████████████████████████████████| 6.8 MB 43.1 MB/s \n", "\u001b[?25hCollecting sacremoses\n", " Downloading sacremoses-0.0.47-py2.py3-none-any.whl (895 kB)\n", "\u001b[K |████████████████████████████████| 895 kB 58.4 MB/s \n", "\u001b[?25hRequirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.7/dist-packages (from transformers) (2019.12.20)\n", "Collecting asynctest==0.13.0\n", " Downloading asynctest-0.13.0-py3-none-any.whl (26 kB)\n", "Collecting aiosignal>=1.1.2\n", " Downloading aiosignal-1.2.0-py3-none-any.whl (8.2 kB)\n", "Collecting multidict<7.0,>=4.5\n", " Downloading multidict-6.0.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (94 kB)\n", "\u001b[K |████████████████████████████████| 94 kB 3.6 MB/s \n", "\u001b[?25hCollecting yarl<2.0,>=1.0\n", " Downloading yarl-1.7.2-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (271 kB)\n", "\u001b[K |████████████████████████████████| 271 kB 47.6 MB/s \n", "\u001b[?25hRequirement already satisfied: charset-normalizer<3.0,>=2.0 in /usr/local/lib/python3.7/dist-packages (from aiohttp->datasets) (2.0.11)\n", "Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.7/dist-packages (from aiohttp->datasets) (21.4.0)\n", "Collecting frozenlist>=1.1.1\n", " Downloading frozenlist-1.3.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (144 kB)\n", "\u001b[K |████████████████████████████████| 144 kB 35.4 MB/s \n", "\u001b[?25hCollecting async-timeout<5.0,>=4.0.0a3\n", " Downloading async_timeout-4.0.2-py3-none-any.whl (5.8 kB)\n", "Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.7/dist-packages (from importlib-metadata->datasets) (3.7.0)\n", "Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.7/dist-packages (from pandas->datasets) (2018.9)\n", "Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.7/dist-packages (from pandas->datasets) (2.8.2)\n", "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.7/dist-packages (from python-dateutil>=2.7.3->pandas->datasets) (1.15.0)\n", "Requirement already satisfied: joblib in /usr/local/lib/python3.7/dist-packages (from sacremoses->transformers) (1.1.0)\n", "Requirement already satisfied: click in /usr/local/lib/python3.7/dist-packages (from sacremoses->transformers) (7.1.2)\n", "Installing collected packages: multidict, frozenlist, yarl, asynctest, async-timeout, aiosignal, pyyaml, fsspec, aiohttp, xxhash, tokenizers, sacremoses, huggingface-hub, transformers, datasets\n", " Attempting uninstall: pyyaml\n", " Found existing installation: PyYAML 3.13\n", " Uninstalling PyYAML-3.13:\n", " Successfully uninstalled PyYAML-3.13\n", "Successfully installed aiohttp-3.8.1 aiosignal-1.2.0 async-timeout-4.0.2 asynctest-0.13.0 datasets-1.18.3 frozenlist-1.3.0 fsspec-2022.1.0 huggingface-hub-0.4.0 multidict-6.0.2 pyyaml-6.0 sacremoses-0.0.47 tokenizers-0.11.4 transformers-4.16.2 xxhash-2.0.2 yarl-1.7.2\n" ] } ], "source": [ "!pip install datasets transformers" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "TvDJ7CYpzSJQ", "outputId": "f58b6c87-1c32-4aa6-9945-8fe3b1eb4a66" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Collecting https://github.com/kpu/kenlm/archive/master.zip\n", " Downloading https://github.com/kpu/kenlm/archive/master.zip (541 kB)\n", "\u001b[K |████████████████████████████████| 541 kB 5.6 MB/s \n", "\u001b[?25hCollecting pyctcdecode\n", " Downloading pyctcdecode-0.3.0-py2.py3-none-any.whl (43 kB)\n", "\u001b[K |████████████████████████████████| 43 kB 1.3 MB/s \n", "\u001b[?25hCollecting pygtrie<3.0,>=2.1\n", " Downloading pygtrie-2.4.2.tar.gz (35 kB)\n", "Requirement already satisfied: numpy<2.0.0,>=1.15.0 in /usr/local/lib/python3.7/dist-packages (from pyctcdecode) (1.19.5)\n", "Collecting hypothesis<7,>=6.14\n", " Downloading hypothesis-6.36.1-py3-none-any.whl (376 kB)\n", "\u001b[K |████████████████████████████████| 376 kB 33.6 MB/s \n", "\u001b[?25hRequirement already satisfied: attrs>=19.2.0 in /usr/local/lib/python3.7/dist-packages (from hypothesis<7,>=6.14->pyctcdecode) (21.4.0)\n", "Requirement already satisfied: sortedcontainers<3.0.0,>=2.1.0 in /usr/local/lib/python3.7/dist-packages (from hypothesis<7,>=6.14->pyctcdecode) (2.4.0)\n", "Building wheels for collected packages: kenlm, pygtrie\n", " Building wheel for kenlm (setup.py) ... \u001b[?25l\u001b[?25hdone\n", " Created wheel for kenlm: filename=kenlm-0.0.0-cp37-cp37m-linux_x86_64.whl size=2336007 sha256=b16981d3c93a18cf8e08961772db48d60653bd17523aad28c2dcea929124f9c6\n", " Stored in directory: /tmp/pip-ephem-wheel-cache-u5_ffegx/wheels/3d/aa/02/7b4a2eab5d7a2a9391bd9680dbad6270808a147bc3b7047e4e\n", " Building wheel for pygtrie (setup.py) ... \u001b[?25l\u001b[?25hdone\n", " Created wheel for pygtrie: filename=pygtrie-2.4.2-py3-none-any.whl size=19063 sha256=11a49e615827e4fd6c23515f65aad326c429b31fc54c3e91e975f884c2b82604\n", " Stored in directory: /root/.cache/pip/wheels/d3/f8/ba/1d828b1603ea422686eb694253a43cb3a5901ea4696c1e0603\n", "Successfully built kenlm pygtrie\n", "Installing collected packages: pygtrie, hypothesis, pyctcdecode, kenlm\n", "Successfully installed hypothesis-6.36.1 kenlm-0.0.0 pyctcdecode-0.3.0 pygtrie-2.4.2\n" ] } ], "source": [ "!pip install https://github.com/kpu/kenlm/archive/master.zip pyctcdecode" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 415, "referenced_widgets": [ "edc436f12376423798af31da019eb50b", "0705b2e7a85c4b4aaebc6cc3494af44b", "8a978848e55a481a94a96b36c30a5076", "acafad3a99b0403486ceac05b768bbbc", "5e07b1951a8d4478b3e38f1e81020d92", "858ba1c848f24b8491d022b277914e84", "3d8e921c0e854bdebb17108b4cabc9f6", "4743028b12014476a634153931a26702", "ef61af4612034388ac9a97125375c2b2", "a45572c8a5714f358bdf6733e7754be3", "0ad2427a4ecc4636a10f295d9178d5c2", "7740c0f39b704684bf0c51a0f2f437af", "48ad04d04f6e4adaa33d635b577a8018", "fd3e054fad4047daae45266d480bcf6a", "ab27dee9582a4f3d9b4010a31558d5fb", "a2a21e4c9deb4a34bffd835a7cb3495b", "244473d30bdb4aa7a08a22e752763da6" ] }, "id": "JHTeonOGXiGq", "outputId": "e4a93331-f896-4d7f-db9a-6f537ee9ad34" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Login successful\n", "Your token has been saved to /root/.huggingface/token\n", "\u001b[1m\u001b[31mAuthenticated through git-credential store but this isn't the helper defined on your machine.\n", "You might have to re-authenticate when pushing to the Hugging Face Hub. Run the following command in your terminal in case you want to set this credential helper as the default\n", "\n", "git config --global credential.helper store\u001b[0m\n" ] } ], "source": [ "from huggingface_hub import notebook_login\n", "\n", "notebook_login()" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "id": "fsrpUSEBYH7g" }, "outputs": [], "source": [ "!git config --global credential.helper store" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "FKMMWfVQp_gP", "outputId": "9055c090-311f-4df9-bfc7-bd8bb3568e48" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Reading package lists... Done\n", "Building dependency tree \n", "Reading state information... Done\n", "build-essential is already the newest version (12.4ubuntu1).\n", "libboost-program-options-dev is already the newest version (1.65.1.0ubuntu1).\n", "libboost-program-options-dev set to manually installed.\n", "libboost-system-dev is already the newest version (1.65.1.0ubuntu1).\n", "libboost-system-dev set to manually installed.\n", "libboost-thread-dev is already the newest version (1.65.1.0ubuntu1).\n", "libboost-thread-dev set to manually installed.\n", "liblzma-dev is already the newest version (5.2.2-1.3).\n", "liblzma-dev set to manually installed.\n", "zlib1g-dev is already the newest version (1:1.2.11.dfsg-0ubuntu2).\n", "zlib1g-dev set to manually installed.\n", "libboost-test-dev is already the newest version (1.65.1.0ubuntu1).\n", "libboost-test-dev set to manually installed.\n", "cmake is already the newest version (3.10.2-1ubuntu2.18.04.2).\n", "libbz2-dev is already the newest version (1.0.6-8.1ubuntu0.2).\n", "libbz2-dev set to manually installed.\n", "The following packages were automatically installed and are no longer required:\n", " cuda-command-line-tools-10-0 cuda-command-line-tools-10-1\n", " cuda-command-line-tools-11-0 cuda-compiler-10-0 cuda-compiler-10-1\n", " cuda-compiler-11-0 cuda-cuobjdump-10-0 cuda-cuobjdump-10-1\n", " cuda-cuobjdump-11-0 cuda-cupti-10-0 cuda-cupti-10-1 cuda-cupti-11-0\n", " cuda-cupti-dev-11-0 cuda-documentation-10-0 cuda-documentation-10-1\n", " cuda-documentation-11-0 cuda-documentation-11-1 cuda-gdb-10-0 cuda-gdb-10-1\n", " cuda-gdb-11-0 cuda-gpu-library-advisor-10-0 cuda-gpu-library-advisor-10-1\n", " cuda-libraries-10-0 cuda-libraries-10-1 cuda-libraries-11-0\n", " cuda-memcheck-10-0 cuda-memcheck-10-1 cuda-memcheck-11-0 cuda-nsight-10-0\n", " cuda-nsight-10-1 cuda-nsight-11-0 cuda-nsight-11-1 cuda-nsight-compute-10-0\n", " cuda-nsight-compute-10-1 cuda-nsight-compute-11-0 cuda-nsight-compute-11-1\n", " cuda-nsight-systems-10-1 cuda-nsight-systems-11-0 cuda-nsight-systems-11-1\n", " cuda-nvcc-10-0 cuda-nvcc-10-1 cuda-nvcc-11-0 cuda-nvdisasm-10-0\n", " cuda-nvdisasm-10-1 cuda-nvdisasm-11-0 cuda-nvml-dev-10-0 cuda-nvml-dev-10-1\n", " cuda-nvml-dev-11-0 cuda-nvprof-10-0 cuda-nvprof-10-1 cuda-nvprof-11-0\n", " cuda-nvprune-10-0 cuda-nvprune-10-1 cuda-nvprune-11-0 cuda-nvtx-10-0\n", " cuda-nvtx-10-1 cuda-nvtx-11-0 cuda-nvvp-10-0 cuda-nvvp-10-1 cuda-nvvp-11-0\n", " cuda-nvvp-11-1 cuda-samples-10-0 cuda-samples-10-1 cuda-samples-11-0\n", " cuda-samples-11-1 cuda-sanitizer-11-0 cuda-sanitizer-api-10-1\n", " cuda-toolkit-10-0 cuda-toolkit-10-1 cuda-toolkit-11-0 cuda-toolkit-11-1\n", " cuda-tools-10-0 cuda-tools-10-1 cuda-tools-11-0 cuda-tools-11-1\n", " cuda-visual-tools-10-0 cuda-visual-tools-10-1 cuda-visual-tools-11-0\n", " cuda-visual-tools-11-1 default-jre dkms freeglut3 freeglut3-dev\n", " keyboard-configuration libargon2-0 libcap2 libcryptsetup12\n", " libdevmapper1.02.1 libfontenc1 libidn11 libip4tc0 libjansson4\n", " libnvidia-cfg1-510 libnvidia-common-460 libnvidia-common-510\n", " libnvidia-extra-510 libnvidia-fbc1-510 libnvidia-gl-510 libpam-systemd\n", " libpolkit-agent-1-0 libpolkit-backend-1-0 libpolkit-gobject-1-0 libxfont2\n", " libxi-dev libxkbfile1 libxmu-dev libxmu-headers libxnvctrl0 libxtst6\n", " nsight-compute-2020.2.1 nsight-compute-2022.1.0 nsight-systems-2020.3.2\n", " nsight-systems-2020.3.4 nsight-systems-2021.5.2 nvidia-dkms-510\n", " nvidia-kernel-common-510 nvidia-kernel-source-510 nvidia-modprobe\n", " nvidia-settings openjdk-11-jre policykit-1 policykit-1-gnome python3-xkit\n", " screen-resolution-extra systemd systemd-sysv udev x11-xkb-utils\n", " xserver-common xserver-xorg-core-hwe-18.04 xserver-xorg-video-nvidia-510\n", "Use 'sudo apt autoremove' to remove them.\n", "Suggested packages:\n", " libeigen3-doc libmrpt-dev\n", "The following NEW packages will be installed:\n", " libeigen3-dev\n", "0 upgraded, 1 newly installed, 0 to remove and 39 not upgraded.\n", "Need to get 810 kB of archives.\n", "After this operation, 7,128 kB of additional disk space will be used.\n", "Get:1 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libeigen3-dev all 3.3.4-4 [810 kB]\n", "Fetched 810 kB in 1s (722 kB/s)\n", "debconf: unable to initialize frontend: Dialog\n", "debconf: (No usable dialog-like program is installed, so the dialog based frontend cannot be used. at /usr/share/perl5/Debconf/FrontEnd/Dialog.pm line 76, <> line 1.)\n", "debconf: falling back to frontend: Readline\n", "debconf: unable to initialize frontend: Readline\n", "debconf: (This frontend requires a controlling tty.)\n", "debconf: falling back to frontend: Teletype\n", "dpkg-preconfigure: unable to re-open stdin: \n", "Selecting previously unselected package libeigen3-dev.\n", "(Reading database ... 155166 files and directories currently installed.)\n", "Preparing to unpack .../libeigen3-dev_3.3.4-4_all.deb ...\n", "Unpacking libeigen3-dev (3.3.4-4) ...\n", "Setting up libeigen3-dev (3.3.4-4) ...\n" ] } ], "source": [ "!sudo apt install build-essential cmake libboost-system-dev libboost-thread-dev libboost-program-options-dev libboost-test-dev libeigen3-dev zlib1g-dev libbz2-dev liblzma-dev" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "J8mm4ExzqIaZ", "outputId": "bcadfcea-48dd-4fa2-9ac8-9d0cfe4b8668" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "--2022-02-09 07:33:59-- https://kheafield.com/code/kenlm.tar.gz\n", "Resolving kheafield.com (kheafield.com)... 35.196.63.85\n", "Connecting to kheafield.com (kheafield.com)|35.196.63.85|:443... connected.\n", "HTTP request sent, awaiting response... 200 OK\n", "Length: 491090 (480K) [application/x-gzip]\n", "Saving to: ‘STDOUT’\n", "\n", "- 100%[===================>] 479.58K 1.07MB/s in 0.4s \n", "\n", "2022-02-09 07:34:00 (1.07 MB/s) - written to stdout [491090/491090]\n", "\n" ] } ], "source": [ "!wget -O - https://kheafield.com/code/kenlm.tar.gz | tar xz" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "MS4mqMyZqVAI", "outputId": "864b730f-b466-412d-9c0a-756baa86aed3" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "-- The C compiler identification is GNU 7.5.0\n", "-- The CXX compiler identification is GNU 7.5.0\n", "-- Check for working C compiler: /usr/bin/cc\n", "-- Check for working C compiler: /usr/bin/cc -- works\n", "-- Detecting C compiler ABI info\n", "-- Detecting C compiler ABI info - done\n", "-- Detecting C compile features\n", "-- Detecting C compile features - done\n", "-- Check for working CXX compiler: /usr/bin/c++\n", "-- Check for working CXX compiler: /usr/bin/c++ -- works\n", "-- Detecting CXX compiler ABI info\n", "-- Detecting CXX compiler ABI info - done\n", "-- Detecting CXX compile features\n", "-- Detecting CXX compile features - done\n", "-- Looking for pthread.h\n", "-- Looking for pthread.h - found\n", "-- Looking for pthread_create\n", "-- Looking for pthread_create - not found\n", "-- Looking for pthread_create in pthreads\n", "-- Looking for pthread_create in pthreads - not found\n", "-- Looking for pthread_create in pthread\n", "-- Looking for pthread_create in pthread - found\n", "-- Found Threads: TRUE \n", "-- Boost version: 1.65.1\n", "-- Found the following Boost libraries:\n", "-- program_options\n", "-- system\n", "-- thread\n", "-- unit_test_framework\n", "-- chrono\n", "-- date_time\n", "-- atomic\n", "-- Check if compiler accepts -pthread\n", "-- Check if compiler accepts -pthread - yes\n", "-- Found ZLIB: /usr/lib/x86_64-linux-gnu/libz.so (found version \"1.2.11\") \n", "-- Found BZip2: /usr/lib/x86_64-linux-gnu/libbz2.so (found version \"1.0.6\") \n", "-- Looking for BZ2_bzCompressInit\n", "-- Looking for BZ2_bzCompressInit - found\n", "-- Looking for lzma_auto_decoder in /usr/lib/x86_64-linux-gnu/liblzma.so\n", "-- Looking for lzma_auto_decoder in /usr/lib/x86_64-linux-gnu/liblzma.so - found\n", "-- Looking for lzma_easy_encoder in /usr/lib/x86_64-linux-gnu/liblzma.so\n", "-- Looking for lzma_easy_encoder in /usr/lib/x86_64-linux-gnu/liblzma.so - found\n", "-- Looking for lzma_lzma_preset in /usr/lib/x86_64-linux-gnu/liblzma.so\n", "-- Looking for lzma_lzma_preset in /usr/lib/x86_64-linux-gnu/liblzma.so - found\n", "-- Found LibLZMA: /usr/include (found version \"5.2.2\") \n", "-- Found OpenMP_C: -fopenmp (found version \"4.5\") \n", "-- Found OpenMP_CXX: -fopenmp (found version \"4.5\") \n", "-- Found OpenMP: TRUE (found version \"4.5\") \n", "-- Configuring done\n", "-- Generating done\n", "-- Build files have been written to: /content/kenlm/build\n", "\u001b[35m\u001b[1mScanning dependencies of target kenlm_util\u001b[0m\n", "[ 2%] \u001b[32mBuilding CXX object util/CMakeFiles/kenlm_util.dir/double-conversion/bignum.cc.o\u001b[0m\n", "[ 2%] \u001b[32mBuilding CXX object 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lm/builder/CMakeFiles/lmplz.dir/lmplz_main.cc.o\u001b[0m\n", "[ 88%] \u001b[32mBuilding CXX object lm/interpolate/CMakeFiles/kenlm_interpolate.dir/pipeline.cc.o\u001b[0m\n", "[ 89%] \u001b[32m\u001b[1mLinking CXX executable ../../bin/lmplz\u001b[0m\n", "[ 89%] Built target lmplz\n", "[ 90%] \u001b[32mBuilding CXX object lm/interpolate/CMakeFiles/kenlm_interpolate.dir/split_worker.cc.o\u001b[0m\n", "[ 91%] \u001b[32mBuilding CXX object lm/interpolate/CMakeFiles/kenlm_interpolate.dir/tune_derivatives.cc.o\u001b[0m\n", "[ 92%] \u001b[32mBuilding CXX object lm/interpolate/CMakeFiles/kenlm_interpolate.dir/tune_instances.cc.o\u001b[0m\n", "[ 93%] \u001b[32mBuilding CXX object lm/interpolate/CMakeFiles/kenlm_interpolate.dir/tune_weights.cc.o\u001b[0m\n", "[ 94%] \u001b[32mBuilding CXX object lm/interpolate/CMakeFiles/kenlm_interpolate.dir/universal_vocab.cc.o\u001b[0m\n", "[ 95%] \u001b[32m\u001b[1mLinking CXX static library ../../lib/libkenlm_interpolate.a\u001b[0m\n", "[ 95%] Built target kenlm_interpolate\n", "\u001b[35m\u001b[1mScanning dependencies of target streaming_example\u001b[0m\n", "\u001b[35m\u001b[1mScanning dependencies of target interpolate\u001b[0m\n", "[ 96%] \u001b[32mBuilding CXX object lm/interpolate/CMakeFiles/streaming_example.dir/streaming_example_main.cc.o\u001b[0m\n", "[ 97%] \u001b[32mBuilding CXX object lm/interpolate/CMakeFiles/interpolate.dir/interpolate_main.cc.o\u001b[0m\n", "[ 98%] \u001b[32m\u001b[1mLinking CXX executable ../../bin/interpolate\u001b[0m\n", "[ 98%] Built target interpolate\n", "[100%] \u001b[32m\u001b[1mLinking CXX executable ../../bin/streaming_example\u001b[0m\n", "[100%] Built target streaming_example\n", "build_binary fragment\t lmplz\t\t\t query\n", "count_ngrams interpolate phrase_table_vocab\t streaming_example\n", "filter\t kenlm_benchmark probing_hash_table_benchmark\n" ] } ], "source": [ "!mkdir kenlm/build && cd kenlm/build && cmake .. && make -j2\n", "!ls kenlm/build/bin" ] }, { "cell_type": "code", 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"0f3aff0652324ea5b89f541c5c39daa6", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Downloading: 0%| | 0.00/1.16k [00:00 \"5gram.arpa\"" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "TRnV8Miusl--", "outputId": "ae772021-8cf5-43ba-fb8b-471cafd1a3d8" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\\data\\\n", "ngram 1=439892\n", "ngram 2=6283429\n", "ngram 3=20305018\n", "ngram 4=33431170\n", "ngram 5=40666048\n", "\n", "\\1-grams:\n", "-6.8345203\t\t0\n", "0\t\t-0.17189819\n", "-6.383933\t\t0\n", "-4.669165\tåterupptagande\t-1.2159427\n", "-2.260307\tav\t-0.7839905\n", "-4.870848\tsessionen\t-0.36981452\n", "-2.2071366\tjag\t-1.3612207\n", "-4.183726\tförklarar\t-0.56037736\n", "-3.638751\teuropaparlamentets\t-0.63620913\n", "-4.799956\tsession\t-0.36165956\n", "-5.8639126\tåterupptagen\t-0.30518174\n", "-2.7958753\tefter\t-0.7691152\n" ] } ], "source": [ "!head -20 5gram.arpa" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "id": "_7u7dVPkvyRZ" }, "outputs": [], "source": [ "with open(\"5gram.arpa\", \"r\") as read_file, open(\"5gram_correct.arpa\", \"w\") as write_file:\n", " has_added_eos = False\n", " for line in read_file:\n", " if not has_added_eos and \"ngram 1=\" in line:\n", " count=line.strip().split(\"=\")[-1]\n", " write_file.write(line.replace(f\"{count}\", f\"{int(count)+1}\"))\n", " elif not has_added_eos and \"\" in line:\n", " write_file.write(line)\n", " write_file.write(line.replace(\"\", \"\"))\n", " has_added_eos = True\n", " else:\n", " write_file.write(line)" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "YF1RSm-Pxst5", "outputId": "45046169-0a2e-4170-82b5-ad96a7876d75" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\\data\\\n", "ngram 1=439893\n", "ngram 2=6283429\n", "ngram 3=20305018\n", "ngram 4=33431170\n", "ngram 5=40666048\n", "\n", "\\1-grams:\n", "-6.8345203\t\t0\n", "0\t\t-0.17189819\n", "0\t\t-0.17189819\n", "-6.383933\t\t0\n", "-4.669165\tåterupptagande\t-1.2159427\n", "-2.260307\tav\t-0.7839905\n", "-4.870848\tsessionen\t-0.36981452\n", "-2.2071366\tjag\t-1.3612207\n", "-4.183726\tförklarar\t-0.56037736\n", "-3.638751\teuropaparlamentets\t-0.63620913\n", "-4.799956\tsession\t-0.36165956\n", "-5.8639126\tåterupptagen\t-0.30518174\n" ] } ], "source": [ "!head -20 5gram_correct.arpa" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 209, "referenced_widgets": [ "dab8e1cd48754aea83815750f0119dec", "1adf04d6095b4b5887073d04db00192f", "30c668969b81489e99b0d34a960a65a4", "fa4c7c4270cb4749b1e3f7b0a38f1eca", "b2080813b5614ebeb63e5ef0dfb0b44b", "8bb2fc07bba14bdca3619303011e67bc", "ad5479dd09b84fcaa7dc2348df416e7c", "f667679f6a324d499403a31db46dfea0", "bef17396fad74eb988231e656dd4e493", "6dc5ae19629e42c293854afaaa2055ad", "4a7542e0f0164e7495623a5fa75fb406", "8b2ee6d728ab4542bcaa97461450d875", "8a6ba4a3c589445fbfbeefd297268771", "a73abbd336e14fbcb194b872a01b4aa1", "f7f98fbcc5594135a56f03b4715c32be", "f1d638c78b1541a1be61acbc8cbcabdd", "0b990c79216447e08580625b7fd63cc3", "7ac6b8d40f3f41dc80e6a9047d8d7b52", "ee3d9e1149c0413ca308d3e74a105b59", "c9904fd4ae014aa0a5c3f4d55f1fd8b2", "cab4a119943c496697c6aa4f01442f4c", "c132bc216b83491b88299594791b2b17", "746475c8ccc24046b917ce625e2c128a", "fce32c38a2e948eebb91f0abe750312a", "7bf34d2e0d9642d694e9bf30e402e40d", "a82b240b4e5f49fa96f721c4332f1e66", "2c9e51f430b84543a3bb97acea10d466", "a8f67a4b068148bb802eb1afa42c5631", "562710133bfd4a0e8849f5bdcb771feb", "a11c354dfbbd4026970d16b73daf4ba3", "03f9cfb0618b47619eb7a1afd32a2cb4", "82220f3058464cb8a4a92e8b3e18c311", "49b9d55510384560b5ce7b003476c1d8", "956061f8a9b8480abc1d29f296089f9d", "46055e902f5d48cb8861e081e144a71f", "7db6b17590f3449fbc5c56d8b18fe83a", "fcf6dbfb8ac04474869c36966c628d3c", "236ebc62d230481a90a3dda4ebe06f19", "1b3bded013a04771a0d41b6ef4b56f47", "837d5669c7ac422c8b916330a63c16c1", "0974f73b93b54d8dbf48da8c27e19325", "3a3d8353972b4548b2d5faa19f4b4bbb", "5b26d76fc291465682360755be754b21", "3f3af4e3e78a47c481ef875c27aa56c8", "5f39d3ab4ab7453b981b1b97d4be44d1", "04ed991137ac4593b38bad1390c91a22", "d0f091dd357743a8bf90b9b3b912947d", "baafdf30c74848a2b79ca7045f83549f", "37e9cc813dba41419190c1032354fc45", "e1ba9daf8b714b0182763ac468c739ed", "8044c34651b043f0bf29f95b415eb01c", "02287f8cb6c2405eb33413dac4e7e24c", "697fa201afb0449d94af9553e05ac158", "3204e60c25d347bdb9194ae07d281e99", "455696448fb04f2d9a8011b39fdb9dd7", "7340797b8a164cfc8181c88bd90099e9", "74c35002b1954d198e4c4cf63594579f", "545e8bc98cfe44269887feaf650fffa9", "b5244dec25c940c9a6ccff8ae7ab07b9", "d2841a93cffa4045b843f28369a1c832", "0c2f35471dea48f4bab90b4f7b2a89ae", "7bd67bdd551b411691f2c4e7a66d2710", "abafa7c4f03e49279e82f0547fe385b6", "114b395bde7744b09317d2dc6742cd2f", "5d61354efde946c399bb7334921c853f", "9660c58b0f534aebad5f9e2e2df6423d" ] }, "id": "paV71gdAtkDC", "outputId": "c2df6859-db57-4d4a-92b0-41b54a4215bf" }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "dab8e1cd48754aea83815750f0119dec", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Downloading: 0%| | 0.00/260 [00:00 1 in alphabet. This is unusual unless style is BPE, but the alphabet was not recognized as BPE type. Is this correct?\n", "Unigrams and labels don't seem to agree.\n" ] } ], "source": [ "from pyctcdecode import build_ctcdecoder\n", "\n", "decoder = build_ctcdecoder(\n", " labels=list(sorted_vocab_dict.keys()),\n", " kenlm_model_path=\"5gram_correct.arpa\",\n", " alpha=0.5,\n", " beta=1.5,\n", ")" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "id": "VBVf50EzZgAQ" }, "outputs": [], "source": [ "from transformers import Wav2Vec2ProcessorWithLM\n", "\n", "processor_with_lm = Wav2Vec2ProcessorWithLM(\n", " feature_extractor=processor.feature_extractor,\n", " tokenizer=processor.tokenizer,\n", " decoder=decoder\n", ")" ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "id": "UZ1sWfPH2oce" }, "outputs": [], "source": [ "lm_dir = \"xls-r-300m-sv-robust/language_model\"\n", "if os.path.exists(lm_dir):\n", " shutil.rmtree(lm_dir)\n", "processor_with_lm.save_pretrained(\"xls-r-300m-sv-robust\")" ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "ClyENOYFcC_C", "outputId": "f70b816e-f308-4630-8863-d7c72f9ee667" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "xls-r-300m-sv-robust/\n", "├── [ 23] added_tokens.json\n", "├── [ 404] all_results.json\n", "├── [ 223] alphabet.json\n", "├── [2.2K] config.json\n", "├── [ 38K] eda.ipynb\n", "├── [4.6K] eval.py\n", "├── [ 228] eval_results.json\n", "├── [ 38K] join_datasets_asr_ctc.py\n", "├── [1.2K] join_datasets_asr_ctc_run.sh\n", "├── [4.0K] language_model\n", "│   ├── [4.5G] 5gram_correct.arpa\n", "│   ├── [ 79] attrs.json\n", "│   └── [5.8M] unigrams.txt\n", "├── [221K] log_mozilla-foundation_common_voice_8_0_sv-SE_test_predictions.txt\n", "├── [222K] log_mozilla-foundation_common_voice_8_0_sv-SE_test_targets.txt\n", "├── [ 12K] log_speech-recognition-community-v2_dev_data_sv_validation_predictions.txt\n", "├── [ 12K] log_speech-recognition-community-v2_dev_data_sv_validation_targets.txt\n", "├── [ 50] mozilla-foundation_common_voice_8_0_sv-SE_test_eval_results.txt\n", "├── [ 285] prepare_dataset_lm.py\n", "├── [ 260] preprocessor_config.json\n", "├── [1.2G] pytorch_model.bin\n", "├── [3.1K] README.md\n", "├── [1.6K] README_TEMPLATE.md\n", "├── [ 74] requirements.txt\n", "├── [ 207] run_eval_cv.sh\n", "├── [ 217] run_eval_real_world.sh\n", "├── [1.1K] run.sh\n", "├── [ 38K] run_speech_recognition_ctc.py\n", "├── [5.2K] special_tokens_map.json\n", "├── [ 48] speech-recognition-community-v2_dev_data_sv_validation_eval_results.txt\n", "├── [ 335] tokenizer_config.json\n", "├── [ 27K] trainer_state.json\n", "├── [3.0K] training_args.bin\n", "├── [7.4K] train_n_gram_lm_with_KenLM.ipynb\n", "├── [ 198] train_results.json\n", "└── [ 289] vocab.json\n", "\n", "1 directory, 35 files\n" ] } ], "source": [ "!tree -h xls-r-300m-sv-robust/" ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "X9qg4FPt2zi8", "outputId": "2f6e6de5-e47b-4e4f-bdaa-e57ae5b04368" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Reading xls-r-300m-sv-robust/language_model/5gram_correct.arpa\n", "----5---10---15---20---25---30---35---40---45---50---55---60---65---70---75---80---85---90---95--100\n", "****************************************************************************************************\n", "SUCCESS\n" ] } ], "source": [ "!kenlm/build/bin/build_binary xls-r-300m-sv-robust/language_model/5gram_correct.arpa xls-r-300m-sv-robust/language_model/5gram.bin" ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "Zn4J-4OZdMPc", "outputId": "e983f1ac-08ed-4989-e7c7-6e084d6b118a" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "xls-r-300m-sv-robust/\n", "├── [ 23] added_tokens.json\n", "├── [ 404] all_results.json\n", "├── [ 223] alphabet.json\n", "├── [2.2K] config.json\n", "├── [ 38K] eda.ipynb\n", "├── [4.6K] eval.py\n", "├── [ 228] eval_results.json\n", "├── [ 38K] join_datasets_asr_ctc.py\n", "├── [1.2K] join_datasets_asr_ctc_run.sh\n", "├── [4.0K] language_model\n", "│   ├── [2.0G] 5gram.bin\n", "│   ├── [ 79] attrs.json\n", "│   └── [5.8M] unigrams.txt\n", "├── [221K] log_mozilla-foundation_common_voice_8_0_sv-SE_test_predictions.txt\n", "├── [222K] log_mozilla-foundation_common_voice_8_0_sv-SE_test_targets.txt\n", "├── [ 12K] log_speech-recognition-community-v2_dev_data_sv_validation_predictions.txt\n", "├── [ 12K] log_speech-recognition-community-v2_dev_data_sv_validation_targets.txt\n", "├── [ 50] mozilla-foundation_common_voice_8_0_sv-SE_test_eval_results.txt\n", "├── [ 285] prepare_dataset_lm.py\n", "├── [ 260] preprocessor_config.json\n", "├── [1.2G] pytorch_model.bin\n", "├── [3.1K] README.md\n", "├── [1.6K] README_TEMPLATE.md\n", "├── [ 74] requirements.txt\n", "├── [ 207] run_eval_cv.sh\n", "├── [ 217] run_eval_real_world.sh\n", "├── [1.1K] run.sh\n", "├── [ 38K] run_speech_recognition_ctc.py\n", "├── [5.2K] special_tokens_map.json\n", "├── [ 48] speech-recognition-community-v2_dev_data_sv_validation_eval_results.txt\n", "├── [ 335] tokenizer_config.json\n", "├── [ 27K] trainer_state.json\n", "├── [3.0K] training_args.bin\n", "├── [7.4K] train_n_gram_lm_with_KenLM.ipynb\n", "├── [ 198] train_results.json\n", "└── [ 289] vocab.json\n", "\n", "1 directory, 35 files\n" ] } ], "source": [ "!rm xls-r-300m-sv-robust/language_model/5gram_correct.arpa && tree -h xls-r-300m-sv-robust/" ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 87 }, "id": "WEV1sx6ee3aT", "outputId": "b0e8e2e6-ad6c-44b6-bb6a-efb4a3fa1dcb" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "To https://huggingface.co/marinone94/xls-r-300m-sv-robust\n", " fc97a76..7f44855 main -> main\n", "\n" ] }, { "data": { "application/vnd.google.colaboratory.intrinsic+json": { "type": "string" }, "text/plain": [ "'https://huggingface.co/marinone94/xls-r-300m-sv-robust/commit/7f448551468d2896a8605cc133b844d92149b0d9'" ] }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" } ], "source": [ "!git config --global user.email \"marinone94@gmail.com\"\n", "repo.push_to_hub(commit_message=\"Upload 5-gram lm-boosted decoder\")" ] }, { "cell_type": "code", "execution_count": 26, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "cHv8hehT1wEM", "outputId": "145492ea-77e1-4785-f2c1-9faf3778cdff" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "/content/xls-r-300m-sv-robust\n" ] } ], "source": [ "cd xls-r-300m-sv-robust/" ] }, { "cell_type": "code", "execution_count": 27, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "GwzABM0l10Qs", "outputId": "7db0453f-021a-44e2-d847-0c71f794b452" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "On branch main\n", "Your branch is up to date with 'origin/main'.\n", "\n", "nothing to commit, working tree clean\n" ] } ], "source": [ "!git status" ] } ], "metadata": { "colab": { "collapsed_sections": [], "name": "train_n_gram_lm_with_KenLM.ipynb", "provenance": [] }, "kernelspec": { "display_name": "Python 3", "name": "python3" }, "language_info": { "name": "python" }, "widgets": { "application/vnd.jupyter.widget-state+json": { "0072550786c44969a48e81dc6f156ace": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_da9f8456e08046758276c8f08b9866a5", "placeholder": "​", "style": "IPY_MODEL_5f092f839d7e40c68c6252f338b99180", "value": "" } }, 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