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"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "H08esTFOYO99"
},
"source": [
"# Main imports and code"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
"id": "EnHQoayhBYlm",
"outputId": "eb747576-9a2a-474c-dbc7-4d6c042f68e6"
},
"outputs": [
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"name": "stdout",
"output_type": "stream",
"text": [
"Sat Feb 26 13:12:45 2022 \n",
"+-----------------------------------------------------------------------------+\n",
"| NVIDIA-SMI 460.91.03 Driver Version: 460.91.03 CUDA Version: 11.4 |\n",
"|-------------------------------+----------------------+----------------------+\n",
"| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |\n",
"| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |\n",
"| | | MIG M. |\n",
"|===============================+======================+======================|\n",
"| 0 Quadro P4000 Off | 00000000:00:05.0 Off | N/A |\n",
"| 46% 33C P8 5W / 105W | 0MiB / 8119MiB | 0% Default |\n",
"| | | N/A |\n",
"+-------------------------------+----------------------+----------------------+\n",
" \n",
"+-----------------------------------------------------------------------------+\n",
"| Processes: |\n",
"| GPU GI CI PID Type Process name GPU Memory |\n",
"| ID ID Usage |\n",
"|=============================================================================|\n",
"| No running processes found |\n",
"+-----------------------------------------------------------------------------+\n",
"WARNING: infoROM is corrupted at gpu 0000:00:05.0\n"
]
}
],
"source": [
"# check which gpu we're using\n",
"!nvidia-smi"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
"id": "hYhFR7nSYOjG",
"outputId": "23ed0686-29d3-45ff-dc22-b2fe54e86ec4"
},
"outputs": [
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"name": "stdout",
"output_type": "stream",
"text": [
"Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com\n",
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"\u001B[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001B[0m\n",
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]
}
],
"source": [
"!pip install simpletransformers tensorflow\n",
"!pip install tensorboardx"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"id": "RJC8wj73Zd_p"
},
"outputs": [],
"source": [
"from simpletransformers.classification import ClassificationModel, ClassificationArgs, MultiLabelClassificationModel, MultiLabelClassificationArgs\n",
"from urllib import request\n",
"import pandas as pd\n",
"import logging\n",
"import torch\n",
"from collections import Counter\n",
"from ast import literal_eval"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
"id": "bsX3b7ZNYVZe",
"outputId": "845660e8-c68b-4a52-d9ce-3c06bf7356d8"
},
"outputs": [
"name": "stdout",
"output_type": "stream",
"text": [
"Cuda available? True\n"
]
}
],
"source": [
"# prepare logger\n",
"logging.basicConfig(level=logging.INFO)\n",
"\n",
"transformers_logger = logging.getLogger(\"transformers\")\n",
"transformers_logger.setLevel(logging.WARNING)\n",
"\n",
"# check gpu\n",
"cuda_available = torch.cuda.is_available()\n",
"\n",
"print('Cuda available? ',cuda_available)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
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"name": "stdout",
"output_type": "stream",
"text": [
"Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com\n",
"Requirement already satisfied: tensorflow in /opt/conda/lib/python3.8/site-packages (2.8.0)\n",
"Requirement already satisfied: astunparse>=1.6.0 in /opt/conda/lib/python3.8/site-packages (from tensorflow) (1.6.3)\n",
"Requirement already satisfied: setuptools in /opt/conda/lib/python3.8/site-packages (from tensorflow) (58.2.0)\n",
"Requirement already satisfied: typing-extensions>=3.6.6 in /opt/conda/lib/python3.8/site-packages (from tensorflow) (3.10.0.2)\n",
"Requirement already satisfied: libclang>=9.0.1 in /opt/conda/lib/python3.8/site-packages (from tensorflow) (13.0.0)\n",
"Requirement already satisfied: numpy>=1.20 in /opt/conda/lib/python3.8/site-packages (from tensorflow) (1.21.2)\n",
"Requirement already satisfied: keras-preprocessing>=1.1.1 in /opt/conda/lib/python3.8/site-packages (from tensorflow) (1.1.2)\n",
"Requirement already satisfied: h5py>=2.9.0 in /opt/conda/lib/python3.8/site-packages (from tensorflow) (3.6.0)\n",
"Requirement already satisfied: gast>=0.2.1 in /opt/conda/lib/python3.8/site-packages (from tensorflow) (0.5.3)\n",
"Requirement already satisfied: tensorflow-io-gcs-filesystem>=0.23.1 in /opt/conda/lib/python3.8/site-packages (from tensorflow) (0.24.0)\n",
"Requirement already satisfied: google-pasta>=0.1.1 in /opt/conda/lib/python3.8/site-packages (from tensorflow) (0.2.0)\n",
"Requirement already satisfied: flatbuffers>=1.12 in /opt/conda/lib/python3.8/site-packages (from tensorflow) (2.0)\n",
"Requirement already satisfied: termcolor>=1.1.0 in /opt/conda/lib/python3.8/site-packages (from tensorflow) (1.1.0)\n",
"Requirement already satisfied: tf-estimator-nightly==2.8.0.dev2021122109 in /opt/conda/lib/python3.8/site-packages (from tensorflow) (2.8.0.dev2021122109)\n",
"Requirement already satisfied: six>=1.12.0 in /opt/conda/lib/python3.8/site-packages (from tensorflow) (1.16.0)\n",
"Requirement already satisfied: keras<2.9,>=2.8.0rc0 in /opt/conda/lib/python3.8/site-packages (from tensorflow) (2.8.0)\n",
"Requirement already satisfied: tensorboard<2.9,>=2.8 in /opt/conda/lib/python3.8/site-packages (from tensorflow) (2.8.0)\n",
"Requirement already satisfied: wrapt>=1.11.0 in /opt/conda/lib/python3.8/site-packages (from tensorflow) (1.13.3)\n",
"Requirement already satisfied: protobuf>=3.9.2 in /opt/conda/lib/python3.8/site-packages (from tensorflow) (3.18.1)\n",
"Requirement already satisfied: absl-py>=0.4.0 in /opt/conda/lib/python3.8/site-packages (from tensorflow) (0.14.1)\n",
"Requirement already satisfied: opt-einsum>=2.3.2 in /opt/conda/lib/python3.8/site-packages (from tensorflow) (3.3.0)\n",
"Requirement already satisfied: grpcio<2.0,>=1.24.3 in /opt/conda/lib/python3.8/site-packages (from tensorflow) (1.41.0)\n",
"Requirement already satisfied: wheel<1.0,>=0.23.0 in /opt/conda/lib/python3.8/site-packages (from astunparse>=1.6.0->tensorflow) (0.37.0)\n",
"Requirement already satisfied: markdown>=2.6.8 in /opt/conda/lib/python3.8/site-packages (from tensorboard<2.9,>=2.8->tensorflow) (3.3.4)\n",
"Requirement already satisfied: google-auth-oauthlib<0.5,>=0.4.1 in /opt/conda/lib/python3.8/site-packages (from tensorboard<2.9,>=2.8->tensorflow) (0.4.6)\n",
"Requirement already satisfied: tensorboard-data-server<0.7.0,>=0.6.0 in /opt/conda/lib/python3.8/site-packages (from tensorboard<2.9,>=2.8->tensorflow) (0.6.1)\n",
"Requirement already satisfied: werkzeug>=0.11.15 in /opt/conda/lib/python3.8/site-packages (from tensorboard<2.9,>=2.8->tensorflow) (2.0.2)\n",
"Requirement already satisfied: requests<3,>=2.21.0 in /opt/conda/lib/python3.8/site-packages (from tensorboard<2.9,>=2.8->tensorflow) (2.26.0)\n",
"Requirement already satisfied: tensorboard-plugin-wit>=1.6.0 in /opt/conda/lib/python3.8/site-packages (from tensorboard<2.9,>=2.8->tensorflow) (1.8.0)\n",
"Requirement already satisfied: google-auth<3,>=1.6.3 in /opt/conda/lib/python3.8/site-packages (from tensorboard<2.9,>=2.8->tensorflow) (1.35.0)\n",
"Requirement already satisfied: pyasn1-modules>=0.2.1 in /opt/conda/lib/python3.8/site-packages (from google-auth<3,>=1.6.3->tensorboard<2.9,>=2.8->tensorflow) (0.2.8)\n",
"Requirement already satisfied: rsa<5,>=3.1.4 in /opt/conda/lib/python3.8/site-packages (from google-auth<3,>=1.6.3->tensorboard<2.9,>=2.8->tensorflow) (4.7.2)\n",
"Requirement already satisfied: cachetools<5.0,>=2.0.0 in /opt/conda/lib/python3.8/site-packages (from google-auth<3,>=1.6.3->tensorboard<2.9,>=2.8->tensorflow) (4.2.4)\n",
"Requirement already satisfied: requests-oauthlib>=0.7.0 in /opt/conda/lib/python3.8/site-packages (from google-auth-oauthlib<0.5,>=0.4.1->tensorboard<2.9,>=2.8->tensorflow) (1.3.0)\n",
"Requirement already satisfied: pyasn1<0.5.0,>=0.4.6 in /opt/conda/lib/python3.8/site-packages (from pyasn1-modules>=0.2.1->google-auth<3,>=1.6.3->tensorboard<2.9,>=2.8->tensorflow) (0.4.8)\n",
"Requirement already satisfied: urllib3<1.27,>=1.21.1 in /opt/conda/lib/python3.8/site-packages (from requests<3,>=2.21.0->tensorboard<2.9,>=2.8->tensorflow) (1.26.7)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/lib/python3.8/site-packages (from requests<3,>=2.21.0->tensorboard<2.9,>=2.8->tensorflow) (2021.5.30)\n",
"Requirement already satisfied: idna<4,>=2.5 in /opt/conda/lib/python3.8/site-packages (from requests<3,>=2.21.0->tensorboard<2.9,>=2.8->tensorflow) (3.1)\n",
"Requirement already satisfied: charset-normalizer~=2.0.0 in /opt/conda/lib/python3.8/site-packages (from requests<3,>=2.21.0->tensorboard<2.9,>=2.8->tensorflow) (2.0.0)\n",
"Requirement already satisfied: oauthlib>=3.0.0 in /opt/conda/lib/python3.8/site-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<0.5,>=0.4.1->tensorboard<2.9,>=2.8->tensorflow) (3.1.1)\n",
"\u001B[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001B[0m\n"
]
}
],
"source": [
"!pip install tensorflow"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
"id": "HpRLLRzkTwdL",
"outputId": "9dc072ea-e419-4bc1-ad99-507cdd4e1394"
},
"outputs": [
"name": "stdout",
"output_type": "stream",
"text": [
"Found GPU at: /device:GPU:0\n"
]
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"output_type": "stream",
"text": [
"2022-02-26 13:14:29.325853: I tensorflow/core/platform/cpu_feature_guard.cc:151] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA\n",
"To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
"2022-02-26 13:14:29.327245: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:936] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
"2022-02-26 13:14:29.328399: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:936] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
"2022-02-26 13:14:29.329348: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:936] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
"2022-02-26 13:14:32.919742: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:936] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
"2022-02-26 13:14:32.920448: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:936] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
"2022-02-26 13:14:32.921064: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:936] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
"2022-02-26 13:14:32.921610: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1525] Created device /device:GPU:0 with 6966 MB memory: -> device: 0, name: Quadro P4000, pci bus id: 0000:00:05.0, compute capability: 6.1\n"
]
}
],
"source": [
"if cuda_available:\n",
" import tensorflow as tf\n",
" # Get the GPU device name.\n",
" device_name = tf.test.gpu_device_name()\n",
" # The device name should look like the following:\n",
" if device_name == '/device:GPU:0':\n",
" print('Found GPU at: {}'.format(device_name))\n",
" else:\n",
" raise SystemError('GPU device not found')"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "BMQDATlOZHxu"
},
"source": [
"# Fetch Don't Patronize Me! data manager module"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
"id": "UW903YxwThrH",
"outputId": "4dc91901-fa9f-446a-a883-dca331443d3d"
},
"outputs": [
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"name": "stdout",
"output_type": "stream",
"text": [
"Fetching https://raw.githubusercontent.com/Perez-AlmendrosC/dontpatronizeme/master/semeval-2022/dont_patronize_me.py\n"
]
}
],
"source": [
"module_url = f\"https://raw.githubusercontent.com/Perez-AlmendrosC/dontpatronizeme/master/semeval-2022/dont_patronize_me.py\"\n",
"module_name = module_url.split('/')[-1]\n",
"print(f'Fetching {module_url}')\n",
"#with open(\"file_1.txt\") as f1, open(\"file_2.txt\") as f2\n",
"with request.urlopen(module_url) as f, open(module_name,'w') as outf:\n",
" a = f.read()\n",
" outf.write(a.decode('utf-8'))"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"id": "PRxm0179aqzw"
},
"outputs": [],
"source": [
"# helper function to save predictions to an output file\n",
"def labels2file(p, outf_path):\n",
"\twith open(outf_path,'w') as outf:\n",
"\t\tfor pi in p:\n",
"\t\t\toutf.write(','.join([str(k) for k in pi])+'\\n')"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"id": "gcDThFWVBxGb"
},
"outputs": [],
"source": [
"from dont_patronize_me import DontPatronizeMe"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"id": "3Ay5_5Y0ThrI"
},
"outputs": [],
"source": [
"dpm = DontPatronizeMe('.', '.')"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
"id": "2r3USK4eThrJ",
"outputId": "53bbe18a-47df-4079-d28a-cf890c08b306"
},
"outputs": [
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"name": "stdout",
"output_type": "stream",
"text": [
"Map of label to numerical label:\n",
"{'Unbalanced_power_relations': 0, 'Shallow_solution': 1, 'Presupposition': 2, 'Authority_voice': 3, 'Metaphors': 4, 'Compassion': 5, 'The_poorer_the_merrier': 6}\n"
]
}
],
"source": [
"dpm.load_task1()\n",
"dpm.load_task2(return_one_hot=True)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "P0YcdU80IbiS"
},
"source": [
"# Load paragraph IDs"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"id": "8AReWYHYOUqx"
},
"outputs": [],
"source": [
"trids = pd.read_csv('./practice_splits/train_semeval_parids-labels.csv')\n",
"teids = pd.read_csv('./practice_splits/dev_semeval_parids-labels.csv')"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 205
"id": "a-_ADoJAOWJA",
"outputId": "85dbe757-4ee5-4887-deac-60185515e141"
},
"outputs": [
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"data": {
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"text/plain": [
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},
"execution_count": 13,
"metadata": {},
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}
],
"source": [
"trids.head()"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"id": "7IfCZjwQ16MS"
},
"outputs": [],
"source": [
"trids.par_id = trids.par_id.astype(str)\n",
"teids.par_id = teids.par_id.astype(str)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "8lXrNj_Ww_FC"
},
"source": [
"\n",
"\n",
"# Rebuild training set (Task 1)"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"id": "BOxDR1H2g_3p"
},
"outputs": [],
"source": [
"rows = [] # will contain par_id, label and text\n",
"for idx in range(len(trids)): \n",
" parid = trids.par_id[idx]\n",
" #print(parid)\n",
" # select row from original dataset to retrieve `text` and binary label\n",
" text = dpm.train_task1_df.loc[dpm.train_task1_df.par_id == parid].text.values[0]\n",
" label = dpm.train_task1_df.loc[dpm.train_task1_df.par_id == parid].label.values[0]\n",
" rows.append({\n",
" 'par_id':parid,\n",
" 'text':text,\n",
" 'label':label\n",
" })\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"id": "8e3E08Yown5p"
},
"outputs": [],
"source": [
"trdf1 = pd.DataFrame(rows)"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
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"</div>"
"text/plain": [
" par_id text label\n",
"0 4341 The scheme saw an estimated 150,000 children f... 1\n",
"1 4136 Durban 's homeless communities reconciliation ... 1\n",
"2 10352 The next immediate problem that cropped up was... 1\n",
"3 8279 Far more important than the implications for t... 1\n",
"4 1164 To strengthen child-sensitive social protectio... 1"
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"trdf1.head()"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"trdf1.shape[0]"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
"data": {
"text/plain": [
"0 7581\n",
"1 794\n",
"Name: label, dtype: int64"
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"trdf1[\"label\"].value_counts()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Discussion regarding Analysis of class labels**\n",
"\n",
"The dataset is a skewed dataset, with 10 times more sentences not exhibiting pcl compared to sentences exhibiting pcl."
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
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"name": "stdout",
"output_type": "stream",
"text": [
"Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com\n",
"Collecting py-readability-metrics\n",
" Downloading py_readability_metrics-1.4.5-py3-none-any.whl (26 kB)\n",
"Requirement already satisfied: nltk in /opt/conda/lib/python3.8/site-packages (from py-readability-metrics) (3.6.4)\n",
"Requirement already satisfied: tqdm in /opt/conda/lib/python3.8/site-packages (from nltk->py-readability-metrics) (4.62.3)\n",
"Requirement already satisfied: regex in /opt/conda/lib/python3.8/site-packages (from nltk->py-readability-metrics) (2021.10.8)\n",
"Requirement already satisfied: joblib in /opt/conda/lib/python3.8/site-packages (from nltk->py-readability-metrics) (1.1.0)\n",
"Requirement already satisfied: click in /opt/conda/lib/python3.8/site-packages (from nltk->py-readability-metrics) (8.0.1)\n",
"Installing collected packages: py-readability-metrics\n",
"Successfully installed py-readability-metrics-1.4.5\n",
"\u001B[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001B[0m\n",
"/opt/conda/lib/python3.8/runpy.py:127: RuntimeWarning: 'nltk.downloader' found in sys.modules after import of package 'nltk', but prior to execution of 'nltk.downloader'; this may result in unpredictable behaviour\n",
" warn(RuntimeWarning(msg))\n",
"[nltk_data] Downloading package punkt to /root/nltk_data...\n",
"[nltk_data] Unzipping tokenizers/punkt.zip.\n"
]
}
],
"source": [
"!pip install py-readability-metrics\n",
"!python -m nltk.downloader punkt"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [],
"source": [
"from readability import Readability\n",
"\n",
"def calculate_readability(text):\n",
" try:\n",
" r = Readability(text)\n",
" return r.flesch_kincaid().score\n",
" except:\n",
" return 0"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
"data": {
"text/html": [
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>par_id</th>\n",
" <th>text</th>\n",