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+ "cells": [
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+ "execution_count": 1,
+ "metadata": {
+ "colab": {
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+ },
+ "id": "x5PVEqW-GndX",
+ "outputId": "6675c3c6-0d2c-482e-8a64-d004d1a28b4a"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
+ "Collecting deeplake\n",
+ " Downloading deeplake-3.2.5.tar.gz (430 kB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m430.1/430.1 KB\u001b[0m \u001b[31m7.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25h Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
+ "Requirement already satisfied: numpy in /usr/local/lib/python3.8/dist-packages (from deeplake) (1.21.6)\n",
+ "Requirement already satisfied: pillow in /usr/local/lib/python3.8/dist-packages (from deeplake) (7.1.2)\n",
+ "Collecting boto3\n",
+ " Downloading boto3-1.26.64-py3-none-any.whl (132 kB)\n",
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+ "\u001b[?25hRequirement already satisfied: click in /usr/local/lib/python3.8/dist-packages (from deeplake) (7.1.2)\n",
+ "Collecting pathos\n",
+ " Downloading pathos-0.3.0-py3-none-any.whl (79 kB)\n",
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+ "\u001b[?25hCollecting humbug>=0.2.6\n",
+ " Downloading humbug-0.2.7-py3-none-any.whl (11 kB)\n",
+ "Requirement already satisfied: tqdm in /usr/local/lib/python3.8/dist-packages (from deeplake) (4.64.1)\n",
+ "Collecting numcodecs\n",
+ " Downloading numcodecs-0.11.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (6.7 MB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m6.7/6.7 MB\u001b[0m \u001b[31m40.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hCollecting pyjwt\n",
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+ "Requirement already satisfied: requests in /usr/local/lib/python3.8/dist-packages (from humbug>=0.2.6->deeplake) (2.25.1)\n",
+ "Collecting s3transfer<0.7.0,>=0.6.0\n",
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+ "\u001b[?25hCollecting botocore<1.30.0,>=1.29.64\n",
+ " Downloading botocore-1.29.64-py3-none-any.whl (10.4 MB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m10.4/10.4 MB\u001b[0m \u001b[31m47.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hCollecting jmespath<2.0.0,>=0.7.1\n",
+ " Downloading jmespath-1.0.1-py3-none-any.whl (20 kB)\n",
+ "Requirement already satisfied: entrypoints in /usr/local/lib/python3.8/dist-packages (from numcodecs->deeplake) (0.4)\n",
+ "Collecting ppft>=1.7.6.6\n",
+ " Downloading ppft-1.7.6.6-py3-none-any.whl (52 kB)\n",
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+ "\u001b[?25hCollecting pox>=0.3.2\n",
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+ "Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/local/lib/python3.8/dist-packages (from botocore<1.30.0,>=1.29.64->boto3->deeplake) (2.8.2)\n",
+ "Collecting urllib3<1.27,>=1.25.4\n",
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+ "\u001b[?25hRequirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.8/dist-packages (from requests->humbug>=0.2.6->deeplake) (2022.12.7)\n",
+ "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.8/dist-packages (from requests->humbug>=0.2.6->deeplake) (2.10)\n",
+ "Requirement already satisfied: chardet<5,>=3.0.2 in /usr/local/lib/python3.8/dist-packages (from requests->humbug>=0.2.6->deeplake) (4.0.0)\n",
+ "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.8/dist-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.30.0,>=1.29.64->boto3->deeplake) (1.15.0)\n",
+ "Building wheels for collected packages: deeplake\n",
+ " Building wheel for deeplake (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
+ " Created wheel for deeplake: filename=deeplake-3.2.5-py3-none-any.whl size=525171 sha256=e0f36110ab2ec0ec203225921302e313015fb12424afef77c30d7a68e58d9bec\n",
+ " Stored in directory: /root/.cache/pip/wheels/13/ab/70/ef081f608463fe6b723e3312636556829a3f02526222d6b72c\n",
+ "Successfully built deeplake\n",
+ "Installing collected packages: urllib3, pyjwt, ppft, pox, numcodecs, multiprocess, jmespath, pathos, botocore, s3transfer, humbug, boto3, hub, deeplake\n",
+ " Attempting uninstall: urllib3\n",
+ " Found existing installation: urllib3 1.24.3\n",
+ " Uninstalling urllib3-1.24.3:\n",
+ " Successfully uninstalled urllib3-1.24.3\n",
+ "Successfully installed boto3-1.26.64 botocore-1.29.64 deeplake-3.2.5 hub-3.0.1 humbug-0.2.7 jmespath-1.0.1 multiprocess-0.70.14 numcodecs-0.11.0 pathos-0.3.0 pox-0.3.2 ppft-1.7.6.6 pyjwt-2.6.0 s3transfer-0.6.0 urllib3-1.26.14\n",
+ "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
+ "Collecting datasets\n",
+ " Downloading datasets-2.9.0-py3-none-any.whl (462 kB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m462.8/462.8 KB\u001b[0m \u001b[31m10.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hRequirement already satisfied: pandas in /usr/local/lib/python3.8/dist-packages (from datasets) (1.3.5)\n",
+ "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.8/dist-packages (from datasets) (6.0)\n",
+ "Requirement already satisfied: requests>=2.19.0 in /usr/local/lib/python3.8/dist-packages (from datasets) (2.25.1)\n",
+ "Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from datasets) (23.0)\n",
+ "Collecting xxhash\n",
+ " Downloading xxhash-3.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (213 kB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m213.0/213.0 KB\u001b[0m \u001b[31m13.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hCollecting responses<0.19\n",
+ " Downloading responses-0.18.0-py3-none-any.whl (38 kB)\n",
+ "Requirement already satisfied: tqdm>=4.62.1 in /usr/local/lib/python3.8/dist-packages (from datasets) (4.64.1)\n",
+ "Requirement already satisfied: pyarrow>=6.0.0 in /usr/local/lib/python3.8/dist-packages (from datasets) (9.0.0)\n",
+ "Requirement already satisfied: dill<0.3.7 in /usr/local/lib/python3.8/dist-packages (from datasets) (0.3.6)\n",
+ "Collecting huggingface-hub<1.0.0,>=0.2.0\n",
+ " Downloading huggingface_hub-0.12.0-py3-none-any.whl (190 kB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m190.3/190.3 KB\u001b[0m \u001b[31m6.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hRequirement already satisfied: fsspec[http]>=2021.11.1 in /usr/local/lib/python3.8/dist-packages (from datasets) (2023.1.0)\n",
+ "Requirement already satisfied: multiprocess in /usr/local/lib/python3.8/dist-packages (from datasets) (0.70.14)\n",
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+ "Requirement already satisfied: aiosignal>=1.1.2 in /usr/local/lib/python3.8/dist-packages (from aiohttp->datasets) (1.3.1)\n",
+ "Requirement already satisfied: async-timeout<5.0,>=4.0.0a3 in /usr/local/lib/python3.8/dist-packages (from aiohttp->datasets) (4.0.2)\n",
+ "Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from aiohttp->datasets) (1.3.3)\n",
+ "Requirement already satisfied: yarl<2.0,>=1.0 in /usr/local/lib/python3.8/dist-packages (from aiohttp->datasets) (1.8.2)\n",
+ "Requirement already satisfied: charset-normalizer<3.0,>=2.0 in /usr/local/lib/python3.8/dist-packages (from aiohttp->datasets) (2.1.1)\n",
+ "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.8/dist-packages (from huggingface-hub<1.0.0,>=0.2.0->datasets) (4.4.0)\n",
+ "Requirement already satisfied: filelock in /usr/local/lib/python3.8/dist-packages (from huggingface-hub<1.0.0,>=0.2.0->datasets) (3.9.0)\n",
+ "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.8/dist-packages (from requests>=2.19.0->datasets) (2.10)\n",
+ "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.8/dist-packages (from requests>=2.19.0->datasets) (2022.12.7)\n",
+ "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.8/dist-packages (from requests>=2.19.0->datasets) (1.26.14)\n",
+ "Requirement already satisfied: chardet<5,>=3.0.2 in /usr/local/lib/python3.8/dist-packages (from requests>=2.19.0->datasets) (4.0.0)\n",
+ "Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas->datasets) (2022.7.1)\n",
+ "Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas->datasets) (2.8.2)\n",
+ "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.8/dist-packages (from python-dateutil>=2.7.3->pandas->datasets) (1.15.0)\n",
+ "Installing collected packages: xxhash, responses, huggingface-hub, datasets\n",
+ "Successfully installed datasets-2.9.0 huggingface-hub-0.12.0 responses-0.18.0 xxhash-3.2.0\n",
+ "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
+ "Requirement already satisfied: numpy in /usr/local/lib/python3.8/dist-packages (1.21.6)\n",
+ "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
+ "Requirement already satisfied: tqdm in /usr/local/lib/python3.8/dist-packages (4.64.1)\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Installing Packages\n",
+ "!pip install deeplake\n",
+ "!pip install datasets\n",
+ "!pip install numpy\n",
+ "!pip install tqdm "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "#Loading Packages\n",
+ "from datasets import load_dataset\n",
+ "import deeplake\n",
+ "import numpy as np\n",
+ "from tqdm import tqdm"
+ ],
+ "metadata": {
+ "id": "YVZkrDYiHZ29"
+ },
+ "execution_count": 2,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "#Load Dataset\n",
+ "dataset = load_dataset(\"wikitext\",'wikitext-2-raw-v1')"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 296,
+ "referenced_widgets": [
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+ ]
+ },
+ "id": "s2aP2VOZHlBd",
+ "outputId": "97e5d5b9-5651-4030-d247-81507794ab84"
+ },
+ "execution_count": 3,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Downloading builder script: 0%| | 0.00/8.48k [00:00<?, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "ee7e05cc1b6a40c7ac3399894595db65"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Downloading metadata: 0%| | 0.00/6.84k [00:00<?, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "5da3af1f3ef346a2b955aca8d631f599"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Downloading readme: 0%| | 0.00/9.25k [00:00<?, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "d65095d05a48444b85c0bd3f2bab7129"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Downloading and preparing dataset wikitext/wikitext-2-raw-v1 to /root/.cache/huggingface/datasets/wikitext/wikitext-2-raw-v1/1.0.0/a241db52902eaf2c6aa732210bead40c090019a499ceb13bcbfa3f8ab646a126...\n"
+ ]
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Downloading data: 0%| | 0.00/4.72M [00:00<?, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "b26c77e074f6442fb9070c41ab195ffd"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Generating test split: 0%| | 0/4358 [00:00<?, ? examples/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "f2bbc473a19343fdaf8cb2e0e015bed4"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Generating train split: 0%| | 0/36718 [00:00<?, ? examples/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "d3afff74e1184304a2738a0c4fe2fa4b"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Generating validation split: 0%| | 0/3760 [00:00<?, ? examples/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "78c7b60b967046f193126ec4f5cb0b89"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Dataset wikitext downloaded and prepared to /root/.cache/huggingface/datasets/wikitext/wikitext-2-raw-v1/1.0.0/a241db52902eaf2c6aa732210bead40c090019a499ceb13bcbfa3f8ab646a126. Subsequent calls will reuse this data.\n"
+ ]
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ " 0%| | 0/3 [00:00<?, ?it/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "f61dd264b4b8450d8a47c42cfb35ee16"
+ }
+ },
+ "metadata": {}
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "# Initialize Deeplake \n",
+ "ds_train = deeplake.empty('./wikitext_deeplake',overwrite=True)"
+ ],
+ "metadata": {
+ "id": "EduFGNzvHrhc"
+ },
+ "execution_count": 4,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "dataset"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "xa27LzY8Hw2p",
+ "outputId": "5d13e54d-7d43-4f7b-c89c-512234d49e74"
+ },
+ "execution_count": 5,
+ "outputs": [
+ {
+ "output_type": "execute_result",
+ "data": {
+ "text/plain": [
+ "DatasetDict({\n",
+ " test: Dataset({\n",
+ " features: ['text'],\n",
+ " num_rows: 4358\n",
+ " })\n",
+ " train: Dataset({\n",
+ " features: ['text'],\n",
+ " num_rows: 36718\n",
+ " })\n",
+ " validation: Dataset({\n",
+ " features: ['text'],\n",
+ " num_rows: 3760\n",
+ " })\n",
+ "})"
+ ]
+ },
+ "metadata": {},
+ "execution_count": 5
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "# dataset['train']['text']"
+ ],
+ "metadata": {
+ "id": "4kXlXAOgHyfj"
+ },
+ "execution_count": 8,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "# Creating Tensors\n",
+ "with ds_train:\n",
+ " ds_train.create_tensor(\"Paragraph\", htype=\"text\")\n",
+ " ds_train.create_tensor(\"tokens\",htype='text') "
+ ],
+ "metadata": {
+ "id": "tW9nECAPH5-V"
+ },
+ "execution_count": 9,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "# Checking Lengths of Train, test and valadation data\n",
+ "len(dataset['train']),len(dataset['test']),len(dataset['validation'])"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "iRetOB9O9Yln",
+ "outputId": "ca0aa3a8-7dc5-4310-b554-b273bc2592f5"
+ },
+ "execution_count": 10,
+ "outputs": [
+ {
+ "output_type": "execute_result",
+ "data": {
+ "text/plain": [
+ "(36718, 4358, 3760)"
+ ]
+ },
+ "metadata": {},
+ "execution_count": 10
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "from tqdm import tqdm\n",
+ "with ds_train:\n",
+ " for i in tqdm(range(1,len(dataset['train']))):\n",
+ " if len(dataset['train']['text'][i]) < 1:\n",
+ " continue\n",
+ " if dataset['train']['text'][i][1] == '=':\n",
+ " ds_train['tokens'].append(dataset['train']['text'][i]) \n",
+ " if dataset['train']['text'][i][1] != '=':\n",
+ " ds_train['Paragraph'].append(dataset['train']['text'][i]) "
+ ],
+ "metadata": {
+ "id": "If26AIKEIIGE"
+ },
+ "execution_count": 11,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "ds_train.summary()"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "9YpgdSfyIMFF",
+ "outputId": "ab2dfaaa-4849-4818-a29a-ac371cdfc620"
+ },
+ "execution_count": 22,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Dataset(path='./wikitext_deeplake', tensors=['Paragraph', 'tokens'])\n",
+ "\n",
+ " tensor htype shape dtype compression\n",
+ " ------- ------- ------- ------- ------- \n",
+ " Paragraph text (21580, 1) str None \n",
+ " tokens text (7539, 1) str None \n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [],
+ "metadata": {
+ "id": "U7FZJossZhUk"
+ },
+ "execution_count": 26,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "source": [],
+ "metadata": {
+ "id": "ARTcG9-8_0KX"
+ },
+ "execution_count": 26,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "source": [],
+ "metadata": {
+ "id": "UnESnfG7_2df"
+ },
+ "execution_count": 26,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "source": [],
+ "metadata": {
+ "id": "h36TtynQLsl5"
+ },
+ "execution_count": 26,
+ "outputs": []
+ }
+ ]
+}
\ No newline at end of file