Datasets:

stefan-it
/

germeval14_no_wikipedia

+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "1a6ca1fd-66c6-4da6-af7f-35879fb663ba",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Requirement already satisfied: tldextract in /home/stefan/.venvs/flair/lib/python3.12/site-packages (5.1.2)\n",
+      "Requirement already satisfied: idna in /home/stefan/.venvs/flair/lib/python3.12/site-packages (from tldextract) (3.7)\n",
+      "Requirement already satisfied: requests>=2.1.0 in /home/stefan/.venvs/flair/lib/python3.12/site-packages (from tldextract) (2.32.2)\n",
+      "Requirement already satisfied: requests-file>=1.4 in /home/stefan/.venvs/flair/lib/python3.12/site-packages (from tldextract) (2.1.0)\n",
+      "Requirement already satisfied: filelock>=3.0.8 in /home/stefan/.venvs/flair/lib/python3.12/site-packages (from tldextract) (3.13.1)\n",
+      "Requirement already satisfied: charset-normalizer<4,>=2 in /home/stefan/.venvs/flair/lib/python3.12/site-packages (from requests>=2.1.0->tldextract) (3.3.2)\n",
+      "Requirement already satisfied: urllib3<3,>=1.21.1 in /home/stefan/.venvs/flair/lib/python3.12/site-packages (from requests>=2.1.0->tldextract) (1.26.18)\n",
+      "Requirement already satisfied: certifi>=2017.4.17 in /home/stefan/.venvs/flair/lib/python3.12/site-packages (from requests>=2.1.0->tldextract) (2024.2.2)\n"
+     ]
+    }
+   ],
+   "source": [
+    "!pip3 install tldextract"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "4906d36b-6a06-4987-b032-4de6a11bfc65",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import random\n",
+    "import tldextract\n",
+    "\n",
+    "from collections import Counter\n",
+    "from tabulate import tabulate"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "0107c076-c40a-41ae-bf51-92ccddaf2e61",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dataset_splits = {\n",
+    "    \"train\": \"./original/NER-de-train.tsv\",\n",
+    "    \"dev\": \"./original/NER-de-dev.tsv\",\n",
+    "    \"test\": \"./original/NER-de-test.tsv\",\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b11a81f2-0e71-4bbc-9538-b1f3295c4b38",
+   "metadata": {},
+   "source": [
+    "# Dataset Stats"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "530c2634-19ee-4814-842e-b834024fa8c9",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "GermEval 2014 Dataset Stats for train split:\n",
+      "| TLD                  | Number of examples (Percentage)   |\n",
+      "|----------------------|-----------------------------------|\n",
+      "| wikipedia.org        | 12007 (50.03%)                    |\n",
+      "| welt.de              | 662 (2.76%)                       |\n",
+      "| spiegel.de           | 512 (2.13%)                       |\n",
+      "| tagesspiegel.de      | 424 (1.77%)                       |\n",
+      "| handelsblatt.com     | 369 (1.54%)                       |\n",
+      "| fr-aktuell.de        | 344 (1.43%)                       |\n",
+      "| sueddeutsche.de      | 308 (1.28%)                       |\n",
+      "| abendblatt.de        | 283 (1.18%)                       |\n",
+      "| berlinonline.de      | 255 (1.06%)                       |\n",
+      "| szon.de              | 249 (1.04%)                       |\n",
+      "| n-tv.de              | 195 (0.81%)                       |\n",
+      "| yahoo.com            | 192 (0.8%)                        |\n",
+      "| feedsportal.com      | 173 (0.72%)                       |\n",
+      "| ngz-online.de        | 173 (0.72%)                       |\n",
+      "| faz.net              | 156 (0.65%)                       |\n",
+      "| nzz.ch               | 146 (0.61%)                       |\n",
+      "| morgenweb.de         | 134 (0.56%)                       |\n",
+      "| rp-online.de         | 132 (0.55%)                       |\n",
+      "| gea.de               | 131 (0.55%)                       |\n",
+      "| sat1.de              | 126 (0.53%)                       |\n",
+      "| tagesschau.de        | 124 (0.52%)                       |\n",
+      "| pnp.de               | 101 (0.42%)                       |\n",
+      "| orf.at               | 98 (0.41%)                        |\n",
+      "| n24.de               | 98 (0.41%)                        |\n",
+      "| finanznachrichten.de | 91 (0.38%)                        |\n",
+      "\n",
+      "GermEval 2014 Dataset Stats for dev split:\n",
+      "| TLD                  | Number of examples (Percentage)   |\n",
+      "|----------------------|-----------------------------------|\n",
+      "| wikipedia.org        | 1119 (50.86%)                     |\n",
+      "| welt.de              | 46 (2.09%)                        |\n",
+      "| spiegel.de           | 43 (1.95%)                        |\n",
+      "| fr-aktuell.de        | 38 (1.73%)                        |\n",
+      "| tagesspiegel.de      | 37 (1.68%)                        |\n",
+      "| handelsblatt.com     | 35 (1.59%)                        |\n",
+      "| sueddeutsche.de      | 28 (1.27%)                        |\n",
+      "| szon.de              | 25 (1.14%)                        |\n",
+      "| feedsportal.com      | 24 (1.09%)                        |\n",
+      "| berlinonline.de      | 22 (1.0%)                         |\n",
+      "| rp-online.de         | 21 (0.95%)                        |\n",
+      "| abendblatt.de        | 20 (0.91%)                        |\n",
+      "| ngz-online.de        | 19 (0.86%)                        |\n",
+      "| n-tv.de              | 18 (0.82%)                        |\n",
+      "| yahoo.com            | 15 (0.68%)                        |\n",
+      "| sat1.de              | 15 (0.68%)                        |\n",
+      "| orf.at               | 13 (0.59%)                        |\n",
+      "| finanznachrichten.de | 13 (0.59%)                        |\n",
+      "| tagesschau.de        | 13 (0.59%)                        |\n",
+      "| nzz.ch               | 12 (0.55%)                        |\n",
+      "| faz.net              | 12 (0.55%)                        |\n",
+      "| morgenweb.de         | 12 (0.55%)                        |\n",
+      "| 20min.ch             | 11 (0.5%)                         |\n",
+      "| pnp.de               | 11 (0.5%)                         |\n",
+      "| focus.de             | 10 (0.45%)                        |\n",
+      "\n",
+      "GermEval 2014 Dataset Stats for test split:\n",
+      "| TLD                  | Number of examples (Percentage)   |\n",
+      "|----------------------|-----------------------------------|\n",
+      "| wikipedia.org        | 2547 (49.94%)                     |\n",
+      "| welt.de              | 139 (2.73%)                       |\n",
+      "| spiegel.de           | 88 (1.73%)                        |\n",
+      "| tagesspiegel.de      | 86 (1.69%)                        |\n",
+      "| handelsblatt.com     | 84 (1.65%)                        |\n",
+      "| sueddeutsche.de      | 78 (1.53%)                        |\n",
+      "| abendblatt.de        | 72 (1.41%)                        |\n",
+      "| fr-aktuell.de        | 62 (1.22%)                        |\n",
+      "| berlinonline.de      | 59 (1.16%)                        |\n",
+      "| szon.de              | 57 (1.12%)                        |\n",
+      "| feedsportal.com      | 52 (1.02%)                        |\n",
+      "| n-tv.de              | 47 (0.92%)                        |\n",
+      "| sat1.de              | 42 (0.82%)                        |\n",
+      "| nzz.ch               | 39 (0.76%)                        |\n",
+      "| yahoo.com            | 38 (0.75%)                        |\n",
+      "| ngz-online.de        | 37 (0.73%)                        |\n",
+      "| faz.net              | 37 (0.73%)                        |\n",
+      "| morgenweb.de         | 36 (0.71%)                        |\n",
+      "| taz.de               | 28 (0.55%)                        |\n",
+      "| finanznachrichten.de | 25 (0.49%)                        |\n",
+      "| tagesschau.de        | 24 (0.47%)                        |\n",
+      "| gea.de               | 24 (0.47%)                        |\n",
+      "| bernerzeitung.ch     | 23 (0.45%)                        |\n",
+      "| ftd.de               | 22 (0.43%)                        |\n",
+      "| orf.at               | 21 (0.41%)                        |\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "def print_stats(dataset_split, dataset_path, limit=25):\n",
+    "    hostname_counter = Counter()\n",
+    "\n",
+    "    with open(dataset_path, \"rt\") as f_p:\n",
+    "        for line in f_p:\n",
+    "            if not line.startswith(\"#\"):\n",
+    "                continue\n",
+    "    \n",
+    "            current_url = line.split(\"\\t\")[1].split(\" \")[0]\n",
+    "    \n",
+    "            ext = tldextract.extract(current_url)\n",
+    "    \n",
+    "            hostname = ext.registered_domain\n",
+    "    \n",
+    "            hostname_counter[hostname] += 1\n",
+    "\n",
+    "    # Print nice table\n",
+    "    headers = [\"TLD\", \"Number of examples (Percentage)\"]\n",
+    "\n",
+    "    table = []\n",
+    "\n",
+    "    total_examples = sum(hostname_counter.values())\n",
+    "    \n",
+    "    for tld_name, examples in hostname_counter.most_common(limit):\n",
+    "        current_percentage = round(examples / total_examples * 100, 2)\n",
+    "        table.append([tld_name, f\"{examples} ({current_percentage}%)\"])\n",
+    "\n",
+    "    print(tabulate(table, headers=headers, tablefmt=\"github\"))\n",
+    "\n",
+    "for dataset_split in dataset_splits.keys():\n",
+    "    print(f\"GermEval 2014 Dataset Stats for {dataset_split} split:\")\n",
+    "    print_stats(dataset_split, dataset_splits[dataset_split])\n",
+    "    print(\"\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d97e3e86-ae0e-4a54-af15-de195608a071",
+   "metadata": {},
+   "source": [
+    "# Generate New Dataset Split without Wikipedia"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "4a081af0-f2fe-4e1a-ae56-da10b2bd7be1",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Writing out train split...\n",
+      "Writing out dev split...\n",
+      "Writing out test split...\n"
+     ]
+    }
+   ],
+   "source": [
+    "def filter_out_wikipedia(dataset_split):\n",
+    "    with open(dataset_splits[dataset_split], \"rt\") as f_p:\n",
+    "        all_sentences = []\n",
+    "        current_sentence = []\n",
+    "        for line in f_p:\n",
+    "            line = line.strip()\n",
+    "            if not line:\n",
+    "                # We found new sentence, yeah!\n",
+    "\n",
+    "                if len(current_sentence) == 0:\n",
+    "                    continue\n",
+    "                \n",
+    "                all_sentences.append(current_sentence)\n",
+    "                current_sentence = []\n",
+    "                continue\n",
+    "\n",
+    "            current_sentence.append(line)\n",
+    "\n",
+    "        if len(current_sentence) > 0:\n",
+    "            all_sentences.append(current_sentence)\n",
+    "    \n",
+    "    with open(f\"NER-de-without-wikipedia-{dataset_split}.tsv\", \"wt\") as f_out:\n",
+    "        for sentence in all_sentences:\n",
+    "\n",
+    "            header = sentence[0]\n",
+    "            assert header.startswith(\"#\")\n",
+    "\n",
+    "            current_url = header.split(\"\\t\")[1].split(\" \")[0]\n",
+    "            ext = tldextract.extract(current_url)\n",
+    "            hostname = ext.registered_domain\n",
+    "\n",
+    "            if hostname == \"wikipedia.org\":\n",
+    "                continue\n",
+    "\n",
+    "            f_out.write(\"\\n\".join(sentence) + \"\\n\\n\")\n",
+    "\n",
+    "for dataset_split in dataset_splits.keys():\n",
+    "    print(f\"Writing out {dataset_split} split...\")\n",
+    "    filter_out_wikipedia(dataset_split)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "84321c99-7085-467d-8d9c-7966bddd21de",
+   "metadata": {},
+   "source": [
+    "# Load with Flair"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "be671ee3-e562-43a5-8734-144b3a129993",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024-05-29 17:08:26.593572: I external/local_tsl/tsl/cuda/cudart_stub.cc:32] Could not find cuda drivers on your machine, GPU will not be used.\n",
+      "2024-05-29 17:08:26.597226: I external/local_tsl/tsl/cuda/cudart_stub.cc:32] Could not find cuda drivers on your machine, GPU will not be used.\n",
+      "2024-05-29 17:08:26.644331: 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 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
+      "2024-05-29 17:08:27.578466: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n"
+     ]
+    }
+   ],
+   "source": [
+    "import flair\n",
+    "\n",
+    "from flair.datasets import NER_GERMAN_GERMEVAL\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\n",
+    "\n",
+    "\n",
+    "class NER_GERMEVAL_2014_NO_WIKIPEDIA(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",
+    "        column_format = {1: \"text\", 2: \"ner\"}\n",
+    "\n",
+    "        #hf_download_path = \"https://huggingface.co/datasets/stefan-it/germeval14_no_wikipedia/resolve/main\"\n",
+    "\n",
+    "        #for split in [\"train\", \"dev\", \"test\"]:\n",
+    "        #    cached_path(f\"{hf_download_path}/NER-de-without-wikipedia-{split}.tsv\", data_path)\n",
+    "        \n",
+    "        super().__init__(\n",
+    "            \"./\", #data_folder,\n",
+    "            column_format = {0: \"text\", 1: \"ner\"},\n",
+    "            column_delimiter=\"\\t\",\n",
+    "            document_separator_token=\"-DOCSTART-\",\n",
+    "            in_memory=in_memory,\n",
+    "            comment_symbol=\"# \",\n",
+    "            **corpusargs,\n",
+    "        )"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7c9d0275-dc4e-4ca0-9a49-b582a42d6bca",
+   "metadata": {},
+   "source": [
+    "# New Corpus Stats"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "8b1a34ab-42c5-4e72-a63e-823f7f2b3cbe",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-05-29 17:08:30,120 Reading data from .\n",
+      "2024-05-29 17:08:30,121 Train: NER-de-without-wikipedia-train.tsv\n",
+      "2024-05-29 17:08:30,123 Dev: NER-de-without-wikipedia-dev.tsv\n",
+      "2024-05-29 17:08:30,124 Test: NER-de-without-wikipedia-test.tsv\n",
+      "2024-05-29 17:08:34,319 Reading data from /home/stefan/.flair/datasets/ner_german_germeval\n",
+      "2024-05-29 17:08:34,320 Train: /home/stefan/.flair/datasets/ner_german_germeval/train.tsv\n",
+      "2024-05-29 17:08:34,321 Dev: /home/stefan/.flair/datasets/ner_german_germeval/dev.tsv\n",
+      "2024-05-29 17:08:34,321 Test: /home/stefan/.flair/datasets/ner_german_germeval/test.tsv\n"
+     ]
+    }
+   ],
+   "source": [
+    "corpus = NER_GERMEVAL_2014_NO_WIKIPEDIA()\n",
+    "original_corpus = NER_GERMAN_GERMEVAL()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "86047123-c882-433b-8d19-92626e878afd",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Original GermEval 2014 stats: Corpus: 24000 train + 2200 dev + 5100 test sentences\n",
+      "Filtered-out GermEval 2014 stats: Corpus: 11993 train + 1081 dev + 2553 test sentences\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"Original GermEval 2014 stats:\", str(original_corpus))\n",
+    "print(\"Filtered-out GermEval 2014 stats:\", str(corpus))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "9e6ffb09-b1c0-4559-b954-df8373492876",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "new_dataset_splits = {\n",
+    "    \"train\": \"./NER-de-without-wikipedia-train.tsv\",\n",
+    "    \"dev\": \"./NER-de-without-wikipedia-dev.tsv\",\n",
+    "    \"test\": \"./NER-de-without-wikipedia-test.tsv\",\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "9ea60c74-70e2-473c-96c7-b6cdfc601297",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "New GermEval 2014 Dataset Stats for train split:\n",
+      "| TLD                  | Number of examples (Percentage)   |\n",
+      "|----------------------|-----------------------------------|\n",
+      "| welt.de              | 662 (5.52%)                       |\n",
+      "| spiegel.de           | 512 (4.27%)                       |\n",
+      "| tagesspiegel.de      | 424 (3.54%)                       |\n",
+      "| handelsblatt.com     | 369 (3.08%)                       |\n",
+      "| fr-aktuell.de        | 344 (2.87%)                       |\n",
+      "| sueddeutsche.de      | 308 (2.57%)                       |\n",
+      "| abendblatt.de        | 283 (2.36%)                       |\n",
+      "| berlinonline.de      | 255 (2.13%)                       |\n",
+      "| szon.de              | 249 (2.08%)                       |\n",
+      "| n-tv.de              | 195 (1.63%)                       |\n",
+      "| yahoo.com            | 192 (1.6%)                        |\n",
+      "| feedsportal.com      | 173 (1.44%)                       |\n",
+      "| ngz-online.de        | 173 (1.44%)                       |\n",
+      "| faz.net              | 156 (1.3%)                        |\n",
+      "| nzz.ch               | 146 (1.22%)                       |\n",
+      "| morgenweb.de         | 134 (1.12%)                       |\n",
+      "| rp-online.de         | 132 (1.1%)                        |\n",
+      "| gea.de               | 131 (1.09%)                       |\n",
+      "| sat1.de              | 126 (1.05%)                       |\n",
+      "| tagesschau.de        | 124 (1.03%)                       |\n",
+      "| pnp.de               | 101 (0.84%)                       |\n",
+      "| orf.at               | 98 (0.82%)                        |\n",
+      "| n24.de               | 98 (0.82%)                        |\n",
+      "| finanznachrichten.de | 91 (0.76%)                        |\n",
+      "| taz.de               | 91 (0.76%)                        |\n",
+      "\n",
+      "New GermEval 2014 Dataset Stats for dev split:\n",
+      "| TLD                  | Number of examples (Percentage)   |\n",
+      "|----------------------|-----------------------------------|\n",
+      "| welt.de              | 46 (4.26%)                        |\n",
+      "| spiegel.de           | 43 (3.98%)                        |\n",
+      "| fr-aktuell.de        | 38 (3.52%)                        |\n",
+      "| tagesspiegel.de      | 37 (3.42%)                        |\n",
+      "| handelsblatt.com     | 35 (3.24%)                        |\n",
+      "| sueddeutsche.de      | 28 (2.59%)                        |\n",
+      "| szon.de              | 25 (2.31%)                        |\n",
+      "| feedsportal.com      | 24 (2.22%)                        |\n",
+      "| berlinonline.de      | 22 (2.04%)                        |\n",
+      "| rp-online.de         | 21 (1.94%)                        |\n",
+      "| abendblatt.de        | 20 (1.85%)                        |\n",
+      "| ngz-online.de        | 19 (1.76%)                        |\n",
+      "| n-tv.de              | 18 (1.67%)                        |\n",
+      "| yahoo.com            | 15 (1.39%)                        |\n",
+      "| sat1.de              | 15 (1.39%)                        |\n",
+      "| orf.at               | 13 (1.2%)                         |\n",
+      "| finanznachrichten.de | 13 (1.2%)                         |\n",
+      "| tagesschau.de        | 13 (1.2%)                         |\n",
+      "| nzz.ch               | 12 (1.11%)                        |\n",
+      "| faz.net              | 12 (1.11%)                        |\n",
+      "| morgenweb.de         | 12 (1.11%)                        |\n",
+      "| 20min.ch             | 11 (1.02%)                        |\n",
+      "| pnp.de               | 11 (1.02%)                        |\n",
+      "| focus.de             | 10 (0.93%)                        |\n",
+      "| ftd.de               | 9 (0.83%)                         |\n",
+      "\n",
+      "New GermEval 2014 Dataset Stats for test split:\n",
+      "| TLD                  | Number of examples (Percentage)   |\n",
+      "|----------------------|-----------------------------------|\n",
+      "| welt.de              | 139 (5.44%)                       |\n",
+      "| spiegel.de           | 88 (3.45%)                        |\n",
+      "| tagesspiegel.de      | 86 (3.37%)                        |\n",
+      "| handelsblatt.com     | 84 (3.29%)                        |\n",
+      "| sueddeutsche.de      | 78 (3.06%)                        |\n",
+      "| abendblatt.de        | 72 (2.82%)                        |\n",
+      "| fr-aktuell.de        | 62 (2.43%)                        |\n",
+      "| berlinonline.de      | 59 (2.31%)                        |\n",
+      "| szon.de              | 57 (2.23%)                        |\n",
+      "| feedsportal.com      | 52 (2.04%)                        |\n",
+      "| n-tv.de              | 47 (1.84%)                        |\n",
+      "| sat1.de              | 42 (1.65%)                        |\n",
+      "| nzz.ch               | 39 (1.53%)                        |\n",
+      "| yahoo.com            | 38 (1.49%)                        |\n",
+      "| ngz-online.de        | 37 (1.45%)                        |\n",
+      "| faz.net              | 37 (1.45%)                        |\n",
+      "| morgenweb.de         | 36 (1.41%)                        |\n",
+      "| taz.de               | 28 (1.1%)                         |\n",
+      "| finanznachrichten.de | 25 (0.98%)                        |\n",
+      "| tagesschau.de        | 24 (0.94%)                        |\n",
+      "| gea.de               | 24 (0.94%)                        |\n",
+      "| bernerzeitung.ch     | 23 (0.9%)                         |\n",
+      "| ftd.de               | 22 (0.86%)                        |\n",
+      "| orf.at               | 21 (0.82%)                        |\n",
+      "| rp-online.de         | 21 (0.82%)                        |\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "for dataset_split in new_dataset_splits.keys():\n",
+    "    print(f\"New GermEval 2014 Dataset Stats for {dataset_split} split:\")\n",
+    "    print_stats(dataset_split, new_dataset_splits[dataset_split])\n",
+    "    print(\"\")"
+   ]
+  }
+ ],
+ "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": "3.12.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}