{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "fe9a217f", "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "fe9a217f", "outputId": "a08b5984-fc07-4250-8751-4f2353eb9588" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Collecting transformers\n", " Downloading transformers-4.18.0-py3-none-any.whl (4.0 MB)\n", "\u001b[K |████████████████████████████████| 4.0 MB 4.2 MB/s \n", "\u001b[?25hRequirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.7/dist-packages (from transformers) (21.3)\n", "Collecting tokenizers!=0.11.3,<0.13,>=0.11.1\n", " Downloading tokenizers-0.12.1-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (6.6 MB)\n", "\u001b[K |████████████████████████████████| 6.6 MB 52.7 MB/s \n", "\u001b[?25hRequirement already satisfied: importlib-metadata in /usr/local/lib/python3.7/dist-packages (from transformers) (4.11.3)\n", "Collecting pyyaml>=5.1\n", " Downloading 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satisfied: six>=1.5 in /usr/local/lib/python3.7/dist-packages (from python-dateutil>=2.7.3->pandas->datasets) (1.15.0)\n", "Installing collected packages: multidict, frozenlist, yarl, urllib3, asynctest, async-timeout, aiosignal, fsspec, aiohttp, xxhash, responses, datasets\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", "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n", "datascience 0.10.6 requires folium==0.2.1, but you have folium 0.8.3 which is incompatible.\u001b[0m\n", "Successfully installed aiohttp-3.8.1 aiosignal-1.2.0 async-timeout-4.0.2 asynctest-0.13.0 datasets-2.1.0 frozenlist-1.3.0 fsspec-2022.3.0 multidict-6.0.2 responses-0.18.0 urllib3-1.25.11 xxhash-3.0.0 yarl-1.7.2\n" ] } ], "source": [ "! pip install transformers\n", "! pip install datasets" ] }, { "cell_type": "code", "execution_count": 2, "id": "95ae5791", "metadata": { "id": "95ae5791" }, "outputs": [], "source": [ "import numpy as np\n", "from imblearn.under_sampling import RandomUnderSampler\n", "from datasets import load_dataset, Dataset\n", "import pandas as pd\n", "from huggingface_hub import notebook_login\n", "import torch" ] }, { "cell_type": "code", "execution_count": 3, "id": "3494f4c0", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 415, "referenced_widgets": [ "f17135c93de34e4983c3046b01976f99", "543571f6c0284b31b2f0ce1e886b707d", "6f4ece3dac8e432da212cd5db88ba5e4", "bc676c21e09d4bab8a235779cdab172d", "b42152cddd6d446faaeee8cbcbc7452f", "f30fce53e0854c748f29b5f06cfda27f", "9bc19fd108f14a90838a6e36eadda574", "a2c5b7d988614ba2b51f1c407a9a1c2f", "224d0b90426c4870bc38735e82c3f265", "24f72c62cc404774ada28bdd6d66fc97", "e4a874a279d44ab3897a2579687603d2", "0053c823057b4462999afe50d837a29c", "0be1208f1aa0402ca60411c3458e6089", "0ffefa481d904e529fa1c2c47f924cb3", "626146a174e94427bde41537c6a09f2c", "086840df35fb446598287f7a05e92e4b", "be1bf475a1e64fc2842ec4485ebcf723" ] }, "id": "3494f4c0", "outputId": "af4bbf73-e7a5-4ff4-c3fb-621266533f06" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Login successful\n", "Your token has been saved to /root/.huggingface/token\n" ] } ], "source": [ "!git config --global credential.helper store\n", "notebook_login()" ] }, { "cell_type": "code", "source": [ "from datasets import load_dataset\n", "\n", "dataset = load_dataset(\"hate_speech_offensive\")" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 217, "referenced_widgets": [ "0cd0b79e301441a395dbc4f0ea100e66", "657a6e9864164395b4d21b6cb6ace381", "49c2a223d345435bbb889f232debedb5", "0b15514584bb457f8f298cd027b7f4e9", "749aab37059142d3bb51fda113d00ae3", "272567d183314508818eb98dfb83261b", "00a462503b194b18a8118f3ed5787d9d", "8d7bce38612b455bad3170da5fde9c59", "2d26d2940fbd47488f2ab0f276d31c68", "5a0343b2a37b46baa5067b2cc739033d", "ed83053b911f45399b325e6e37a3aaad", "7e4c056966af4fc7b0a2e9bfc33d2da5", "b14ac6a6f97a435b84cc6cc3874b721c", "7720d2ae8c964368a15a45e9d3e5ccb2", "1ebe20926a814122b94ae05ae09c4676", "007f082df7084d4fa82e96df5db8c94b", "814772a66daf462abf350db20e384c24", "ed84a82b98864698a39ad0897953f21d", "934096387ef040f2a4c0ae9e486e3b5c", "c9b339f330ff496c90aeebda931280b5", "99111d4f9f81463c865be4bbd4a33599", "4378c4f5e099470e9f69f7d1de63dbe8", "f5935c8e4466439e9a28e54a80298963", "408cb075a9cc4b34babd18222538f619", "9278beb77e4b4797a315c2aa43fa5c44", "757be97da74b4cb68a9172fc95bb9872", "9115f1c559934bc19aa38e14b7688f64", "2e2fbec390be44eca6b8219c597857e2", "0fe88c65d77040b9819c9a22c9c0cd6c", "f200ab98346c426ab83d5ec7518b6c4c", "73337519ad8f4e1c9ff163d4d57bcb2a", "eb3da9d8f6cd4c7fbf49acb56e8de3e6", "b268d9a1b5b943408279d95ecdea9947", "6af148a2676e4d8b89dfb6652f5faaeb", "e093aa23c09f430c8c29aff6d7536f24", "9191bd85962d4652aa467f149e43d7b6", "80cdf86ebb38418ba400337f454f2fc0", "3c6b521f3e064021a36750d8a409ad84", "dbd4db958275448ca6bb08a9fed2cf32", "160972ef7b7d4963817b35fd715e57de", "cd891d595eb740a989768a5c9d5b7f3c", "f92b3d2730f0489a8c755dd5b1f8bd8a", "378e7130a47c4d8494d954622f04435b", "ad695a395267440fa7113b1c675df721", "68fe69dc99b34f00af5c9a3fa828bbe7", "0e8675c6422e4fa1ac77b3f5b2f2b0f5", "2e3187b4688545998831ac6bd9071459", "ca9e4cae3e70436dae7d5cac6dbda966", "8c7745b142644d4e90ff879f83b25165", "58fab6073a0f4ea7b7bdbfad38eb7135", "77d24e97360d4a7a9bf88c836e9dee24", "cce9a2e3db7a42b0bd68e0f76d972b58", "b3f0d831a7164d3e9ae733d5c20d49a3", "78a6643e0706457482ae589d0aadd9ac", "948d2d92c77c4d2fa9dc4350b68095dd" ] }, "id": "bkqBSnpvfrHg", "outputId": "e645ec20-951e-4945-a041-b26b9fc5ecb1" }, "id": "bkqBSnpvfrHg", "execution_count": 4, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "Downloading builder script: 0%| | 0.00/1.40k [00:00" ], "image/png": 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2x3EAlwPLZrS9CTi+LR8PvLEtHwn8OxDgocC5rX0f4LL2de+2vPcUxnUJ8CPgwB1hLIFHAA8Evj2NsQO+3rZNe+7jJljnY4Cd2vIbR+pcMbrdjH5mrWeuY55AjRN7jYFPAEe15fcCfzGpsZyx/kTgNQs8lnPlz4K9Nyd55v5gYG1VXVZVvwJOBZ40wf43q6rWV9V5bflG4GJg+Wae8iTg1Kr6ZVV9H1jLcAwLdRxPAk5py6cATx5p/1ANzgH2SnIv4LHAWVV1XVX9BDgLOGIKdT0a+F5V/WCe2rfLWFbVl4HrZtn/No9dW7dnVZ1Tw0/Th0b62uY6q+oLVXVL+/YcYP/N9TFPPXMd8zbVuBlb9Bq3s8pHAadvS43z1dn28zTg45vrYzuM5Vz5s2DvzUmG+3LgipHvr2Tz4To1SVYAhwPntqYXt0ufk0cuueaqd3scRwFfSLImybGt7R5Vtb4t/wi4xw5QJ8BRbPqDs6ONJUxu7Ja35WnXC3AMw9nXRvdO8r9Jzk7y8Na2uXrmOuZJmMRrfDfg+pEPs2mN5cOBq6rq0pG2BR3LGfmzYO/N7m6oJtkd+BRwXFXdAPwzcF/gAcB6hku4hfawqnog8DjgRUkeMbqyfTIv+O+otjnSJwKfbE074lhuYkcZu81J8mrgFuCjrWk98BtVdTjwcuBjSfYct78JH/MO/xrPcDSbnnws6FjOkj8T63tLTTLc1wEHjHy/f2vbbpLszDCwH62qTwNU1VVVdWtV3Qa8n+EycnP1Tv04qmpd+3o18JlW01Xt0mvjJeTVC10nw4fPeVV1Vat3hxvLZlJjt45Np0omXm+S5wCPB57efthpUx3XtuU1DHPY95+nnrmOeZtM8DW+lmGqYacZ7RPT+n4KcNpI/Qs2lrPlz2b6nv57c0tvHMz1YPgjZJcx3GzZeGPl0En1P8b+wzAP9fYZ7fcaWX4Zw7whwKFseoPoMoabQ1M9DuCuwB4jy19lmCt/M5veeHlTW17Fpjdevl6333j5PsNNl73b8j4THtNTgefuaGPJjJtmkxw7fv2m1ZETrPMI4CJg3xnb7Qssacv3Yfih3Ww9cx3zBGqc2GvMcMU3ekP1hZMay5HxPHtHGEvmzp8Fe29OLAjazo9kuEv8PeDVk+x7jH0/jOGS51vA+e1xJPBh4ILWfsaMN++rW62XMHLneZrH0d5w32yPCzf2zzBH+Z/ApcAXR17QAO9ptVwArBzp6xiGG1trGQnhCdV5V4azr6UjbQs+lgyX4OuBmxnmHZ83ybEDVgLfbs95N+1fcU+ozrUM86kb35/vbds+tb0XzgfOA54wXz1zHfMEapzYa9ze619vx/1JYNdJjWVr/yDwghnbLtRYzpU/C/be9M8PSFKHuruhKkky3CWpS4a7JHXIcJekDhnuktQhw12SOmS4S1KH/h+HK95WEnqbBwAAAABJRU5ErkJggg==\n" }, "metadata": { "needs_background": "light" } } ] }, { "cell_type": "code", "source": [ "undersample = RandomUnderSampler(sampling_strategy='all')" ], "metadata": { "id": "KGJRcLc4frSa" }, "id": "KGJRcLc4frSa", "execution_count": 7, "outputs": [] }, { "cell_type": "code", "source": [ "new_text,new_label = undersample.fit_resample(tweets, labels)" ], "metadata": { "id": "3oPB436mfrVA" }, "id": "3oPB436mfrVA", "execution_count": 8, "outputs": [] }, { "cell_type": "code", "source": [ "data = pd.concat([new_text,new_label],axis=1,ignore_index=True)\n", "data.columns = ['tweet','label']" ], "metadata": { "id": "t3KeP2nBhhFy" }, "id": "t3KeP2nBhhFy", "execution_count": 9, "outputs": [] }, { "cell_type": "code", "source": [ "import matplotlib.pyplot as plt\n", "\n", "new_label[0].value_counts(ascending=True).plot.barh()\n", "plt.title(\"Frequency of Classes\")\n", "plt.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 281 }, "id": "qUrcF3KthkHo", "outputId": "7fedffda-90e1-4308-d43c-89f18d31b023" }, "id": "qUrcF3KthkHo", "execution_count": 10, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
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0@TheErniie You're a little bitch.0
1Kanye west is a faggot0
2@Hovaa_ #niggerfood #niggerperson #you #are #a...0
3RT @YABOYLILB: If I ride up to your bitch in t...0
4@Jaytwofly huh, lol mad nigger is mad0
.........
4285RT @LucentVariable: @TonyJRodriguez friendly r...2
4286@LinzBella \\nYou date colored men?2
4287RT @BoatBuilder_: call me a free bird2
4288RT @BroganWebber: Wiz is garbage to be put in ...2
4289Why no boycott of racist \"redskins\"?\\n#Redskin...2
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429\n", " })\n", "})" ] }, "metadata": {}, "execution_count": 13 } ], "source": [ "dataset" ] }, { "cell_type": "code", "execution_count": 14, "id": "56adc6f2", "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "56adc6f2", "outputId": "f56867be-42c9-4dc8-8488-3a491065d866" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "{'label': [0, 1, 1, 0, 2],\n", " 'tweet': ['@HollowDaDonLOM those god damn chinks. http://t.co/Bi6fgP5vGo',\n", " \"RT @QueenBitchhhh_: I'm scared to lose you, cause I know you get bitches.\",\n", " \"Never argue with a bitch that's at the bottom of the food chain. 💁\",\n", " '@poloswagmaster if you go could you hook up the plant city faggots or',\n", " 'RT @Harry_Styles: A bird pooped on me.']}" ] }, "metadata": {}, "execution_count": 14 } ], "source": [ "dataset['train'][:5]" ] }, { "cell_type": "code", "execution_count": 15, "id": "c57283d3", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 165, "referenced_widgets": [ "252a13756c034ecbb4fe8fc4bcca210d", "9926ed3a28784aacb94c34a0a5c377fc", "d4241fb8d4b64703b2e32616d8fe5754", "ad56ff319ae74ca5b2ec18c20967709e", "d4496ec7886a48f68004024003cdc8eb", "99722aabc799483886a3698926e7ae7a", "e767f6ce8bf74c1db1a017c70c702f9f", "2d431c71d2ee40a7bff1465738b0569c", "e1e81d8ba64f4c3f8bcb8183282daa93", "1b6d80fcc7e5410ebfde9a3b81ea6a10", "8c2481975ef446999b13cf6a7b3947e1", "4a5782a6fc2c4ee198b651d33fe35fde", "8d7c925a6b244410aecb5d49fbae367e", "cdfa00315e22483ab6ea63ea589d6856", "c5ceda5b79ec4ce5ae7ca606a667ddb2", "9b1887aa23ae4236afd5a2d8a5378714", "7c57f010dd3e45069bd06fb4ff545131", "dc032c569dc94f9c84181a5061623ecf", "5286d499c18a4b0ab7a09f9938ee8c90", "0f12f7ff21874157a35e6bb3149c0b74", "6dc3dd0d29e64e84b9d746568bc0185a", "9f71a979b3f744d0a345f58b182f6236", "f749647e69c5484caa72e34ed4129b4c", "2c34616181a24ef189ad0d185827967b", "f09e87abdf0f46dda31b8bd81a66097a", "a49188996db54749b53a933af0e64f94", "631bd6990c5e431b8e85b3228cb1fdcd", 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