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notebook: example for loading the dataset with Flair

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  1. FlairDatasetExample.ipynb +196 -0
FlairDatasetExample.ipynb ADDED
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+ {
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+ "cells": [
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+ {
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+ "cell_type": "code",
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+ "execution_count": 1,
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+ "id": "784eec04-5ea5-4664-b5dc-76aca7af15d6",
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+ "metadata": {},
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+ "outputs": [],
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+ "source": [
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+ "import flair\n",
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+ "\n",
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+ "from flair.datasets.sequence_labeling import ColumnCorpus\n",
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+ "from flair.file_utils import cached_path\n",
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+ "\n",
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+ "from pathlib import Path\n",
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+ "from typing import Optional, Union"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 4,
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+ "id": "8a44d348-22a7-4b40-a982-e227ebf5e942",
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+ "metadata": {},
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+ "outputs": [],
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+ "source": [
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+ "class NER_CO_FUNER(ColumnCorpus):\n",
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+ " def __init__(\n",
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+ " self,\n",
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+ " base_path: Optional[Union[str, Path]] = None,\n",
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+ " in_memory: bool = True,\n",
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+ " **corpusargs,\n",
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+ " ) -> None:\n",
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+ " base_path = flair.cache_root / \"datasets\" if not base_path else Path(base_path)\n",
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+ " dataset_name = self.__class__.__name__.lower()\n",
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+ " data_folder = base_path / dataset_name\n",
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+ " data_path = flair.cache_root / \"datasets\" / dataset_name\n",
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+ "\n",
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+ " columns = {0: \"text\", 2: \"ner\"}\n",
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+ "\n",
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+ " hf_download_path = \"https://huggingface.co/datasets/stefan-it/co-funer/resolve/main\"\n",
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+ "\n",
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+ " for split in [\"train\", \"dev\", \"test\"]:\n",
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+ " cached_path(f\"{hf_download_path}/{split}.tsv\", data_path)\n",
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+ " \n",
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+ " super().__init__(\n",
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+ " data_folder,\n",
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+ " columns,\n",
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+ " in_memory=in_memory,\n",
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+ " comment_symbol=None,\n",
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+ " **corpusargs,\n",
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+ " )"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 5,
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+ "id": "efea04d2-957b-4b8c-a5b3-bb53f8b5264a",
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+ "metadata": {},
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+ "outputs": [
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+ {
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+ "name": "stdout",
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+ "output_type": "stream",
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+ "text": [
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+ "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"
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+ "100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 669k/669k [00:00<00:00, 3.97MB/s]"
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+ ]
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+ },
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+ {
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+ "name": "stdout",
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+ "output_type": "stream",
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+ "text": [
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+ "2024-03-25 13:46:15,771 copying /tmp/tmpezcb9ala to cache at /home/stefan/.flair/datasets/ner_co_funer/train.tsv\n",
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+ "2024-03-25 13:46:15,775 removing temp file /tmp/tmpezcb9ala\n"
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+ ]
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+ },
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+ {
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+ "name": "stderr",
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+ "\n"
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+ {
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+ "name": "stdout",
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+ "output_type": "stream",
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+ "text": [
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+ "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"
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+ ]
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+ {
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+ "name": "stderr",
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+ "output_type": "stream",
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+ "text": [
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+ "100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 74.9k/74.9k [00:00<00:00, 2.40MB/s]"
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+ ]
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+ },
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+ {
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+ "name": "stdout",
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+ "output_type": "stream",
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+ "text": [
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+ "2024-03-25 13:46:16,299 copying /tmp/tmptresi_zq to cache at /home/stefan/.flair/datasets/ner_co_funer/dev.tsv\n",
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+ "2024-03-25 13:46:16,300 removing temp file /tmp/tmptresi_zq\n"
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+ ]
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+ },
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+ {
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+ "name": "stderr",
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+ "\n"
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+ ]
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+ },
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+ {
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+ "name": "stdout",
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+ "output_type": "stream",
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+ "text": [
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+ "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"
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+ ]
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+ },
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+ {
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+ "name": "stderr",
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+ "output_type": "stream",
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+ "text": [
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+ "100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆοΏ½οΏ½β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 75.0k/75.0k [00:00<00:00, 2.13MB/s]"
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+ ]
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+ },
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+ {
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+ "name": "stdout",
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+ "output_type": "stream",
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+ "text": [
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+ "2024-03-25 13:46:16,810 copying /tmp/tmpma214nwe to cache at /home/stefan/.flair/datasets/ner_co_funer/test.tsv\n",
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+ "2024-03-25 13:46:16,811 removing temp file /tmp/tmpma214nwe\n",
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+ "2024-03-25 13:46:16,818 Reading data from /home/stefan/.flair/datasets/ner_co_funer\n",
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+ "2024-03-25 13:46:16,819 Train: /home/stefan/.flair/datasets/ner_co_funer/train.tsv\n",
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+ "2024-03-25 13:46:16,819 Dev: /home/stefan/.flair/datasets/ner_co_funer/dev.tsv\n",
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+ "2024-03-25 13:46:16,820 Test: /home/stefan/.flair/datasets/ner_co_funer/test.tsv\n"
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+ ]
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+ },
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+ {
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+ "name": "stderr",
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+ "output_type": "stream",
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+ "text": [
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+ "\n"
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+ ]
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+ }
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+ ],
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+ "source": [
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+ "corpus = NER_CO_FUNER()"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 6,
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+ "id": "a83b693a-de00-4bd9-bb00-91cb6b99fdc2",
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+ "metadata": {},
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+ "outputs": [
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+ {
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+ "name": "stdout",
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+ "output_type": "stream",
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+ "text": [
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+ "Corpus: 758 train + 94 dev + 96 test sentences\n"
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+ ]
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+ }
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+ ],
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+ "source": [
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+ "print(str(corpus))"
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+ ]
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+ }
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+ ],
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+ "metadata": {
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+ "kernelspec": {
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+ "display_name": "Python 3 (ipykernel)",
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+ "language": "python",
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+ "name": "python3"
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+ },
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+ "language_info": {
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+ "codemirror_mode": {
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+ "name": "ipython",
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+ "version": 3
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+ },
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+ "file_extension": ".py",
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+ "mimetype": "text/x-python",
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+ "name": "python",
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+ "nbconvert_exporter": "python",
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+ "pygments_lexer": "ipython3",
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+ "version": "3.11.6"
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+ }
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+ },
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+ "nbformat": 4,
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+ "nbformat_minor": 5
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+ }