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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "784eec04-5ea5-4664-b5dc-76aca7af15d6",
"metadata": {},
"outputs": [],
"source": [
"import flair\n",
"\n",
"from flair.datasets.sequence_labeling import ColumnCorpus\n",
"from flair.file_utils import cached_path\n",
"\n",
"from pathlib import Path\n",
"from typing import Optional, Union"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "8a44d348-22a7-4b40-a982-e227ebf5e942",
"metadata": {},
"outputs": [],
"source": [
"class NER_CO_FUNER(ColumnCorpus):\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",
" columns = {0: \"text\", 2: \"ner\"}\n",
"\n",
" hf_download_path = \"https://huggingface.co/datasets/stefan-it/co-funer/resolve/main\"\n",
"\n",
" for split in [\"train\", \"dev\", \"test\"]:\n",
" cached_path(f\"{hf_download_path}/{split}.tsv\", data_path)\n",
" \n",
" super().__init__(\n",
" data_folder,\n",
" columns,\n",
" in_memory=in_memory,\n",
" comment_symbol=None,\n",
" **corpusargs,\n",
" )"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "efea04d2-957b-4b8c-a5b3-bb53f8b5264a",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2024-03-25 13:46:15,348 https://huggingface.co/datasets/stefan-it/co-funer/resolve/main/train.tsv not found in cache, downloading to /tmp/tmpezcb9ala\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 669k/669k [00:00<00:00, 3.97MB/s]"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"2024-03-25 13:46:15,771 copying /tmp/tmpezcb9ala to cache at /home/stefan/.flair/datasets/ner_co_funer/train.tsv\n",
"2024-03-25 13:46:15,775 removing temp file /tmp/tmpezcb9ala\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"2024-03-25 13:46:16,020 https://huggingface.co/datasets/stefan-it/co-funer/resolve/main/dev.tsv not found in cache, downloading to /tmp/tmptresi_zq\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 74.9k/74.9k [00:00<00:00, 2.40MB/s]"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"2024-03-25 13:46:16,299 copying /tmp/tmptresi_zq to cache at /home/stefan/.flair/datasets/ner_co_funer/dev.tsv\n",
"2024-03-25 13:46:16,300 removing temp file /tmp/tmptresi_zq\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"2024-03-25 13:46:16,516 https://huggingface.co/datasets/stefan-it/co-funer/resolve/main/test.tsv not found in cache, downloading to /tmp/tmpma214nwe\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 75.0k/75.0k [00:00<00:00, 2.13MB/s]"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"2024-03-25 13:46:16,810 copying /tmp/tmpma214nwe to cache at /home/stefan/.flair/datasets/ner_co_funer/test.tsv\n",
"2024-03-25 13:46:16,811 removing temp file /tmp/tmpma214nwe\n",
"2024-03-25 13:46:16,818 Reading data from /home/stefan/.flair/datasets/ner_co_funer\n",
"2024-03-25 13:46:16,819 Train: /home/stefan/.flair/datasets/ner_co_funer/train.tsv\n",
"2024-03-25 13:46:16,819 Dev: /home/stefan/.flair/datasets/ner_co_funer/dev.tsv\n",
"2024-03-25 13:46:16,820 Test: /home/stefan/.flair/datasets/ner_co_funer/test.tsv\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"\n"
]
}
],
"source": [
"corpus = NER_CO_FUNER()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "a83b693a-de00-4bd9-bb00-91cb6b99fdc2",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Corpus: 758 train + 94 dev + 96 test sentences\n"
]
}
],
"source": [
"print(str(corpus))"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.6"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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