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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "bd9232bc-0c38-426d-b29d-7b4a03fd5242",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2024-11-22 22:50:45.568704: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n",
"2024-11-22 22:50:45.569107: I external/local_xla/xla/tsl/cuda/cudart_stub.cc:32] Could not find cuda drivers on your machine, GPU will not be used.\n",
"2024-11-22 22:50:45.571074: I external/local_xla/xla/tsl/cuda/cudart_stub.cc:32] Could not find cuda drivers on your machine, GPU will not be used.\n",
"2024-11-22 22:50:45.576441: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:477] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
"WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n",
"E0000 00:00:1732312245.585696 11818 cuda_dnn.cc:8310] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
"E0000 00:00:1732312245.588323 11818 cuda_blas.cc:1418] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n",
"2024-11-22 22:50:45.597922: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
"To enable the following instructions: AVX2 AVX_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n"
]
}
],
"source": [
"import flair\n",
"\n",
"from flair.datasets import ClassificationCorpus\n",
"\n",
"from huggingface_hub import hf_hub_download\n",
"\n",
"from pathlib import Path\n",
"from typing import Optional, Union"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "eb688e95-92e3-4b09-a523-eb62fd7cb0bc",
"metadata": {},
"outputs": [],
"source": [
"class OFFENSEVAL_TR_2020(ClassificationCorpus):\n",
" def __init__(\n",
" self,\n",
" base_path: Optional[Union[str, Path]] = None,\n",
" in_memory: bool = True,\n",
" **corpusargs,\n",
" ) -> None:\n",
" base_path = flair.cache_root / \"datasets\" if not base_path else Path(base_path)\n",
" dataset_name = self.__class__.__name__.lower()\n",
" data_folder = base_path / dataset_name\n",
" data_path = flair.cache_root / \"datasets\" / dataset_name\n",
"\n",
" for split in [\"train\", \"dev\", \"test\"]:\n",
" hf_hub_download(repo_id=\"stefan-it/offenseval2020_tr\", repo_type=\"dataset\",\n",
" filename=f\"{split}.txt\", token=True, local_dir=data_folder)\n",
"\n",
" super().__init__(\n",
" data_path,\n",
" **corpusargs,\n",
" )"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "add7c7f1-2ea2-40be-99a3-a71d20a3a25a",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2024-11-22 22:50:51,534 Reading data from /home/stefan/.flair/datasets/offenseval_tr_2020\n",
"2024-11-22 22:50:51,535 Train: /home/stefan/.flair/datasets/offenseval_tr_2020/train.txt\n",
"2024-11-22 22:50:51,536 Dev: /home/stefan/.flair/datasets/offenseval_tr_2020/dev.txt\n",
"2024-11-22 22:50:51,537 Test: /home/stefan/.flair/datasets/offenseval_tr_2020/test.txt\n",
"2024-11-22 22:50:52,068 Initialized corpus /home/stefan/.flair/datasets/offenseval_tr_2020 (label type name is 'class')\n"
]
}
],
"source": [
"corpus = OFFENSEVAL_TR_2020()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "f9d2162a-c9bb-46f0-8898-b12ce286ff37",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Corpus: 30000 train + 1756 dev + 3528 test sentences\n"
]
}
],
"source": [
"print(str(corpus))"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
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},
"file_extension": ".py",
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