Upload wikipedia_nepali_data.ipynb
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wikipedia_nepali/wikipedia_nepali_data.ipynb
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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": null,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "MChM63gu3iVj",
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"outputId": "a45849f2-d278-4213-9e54-365b6db4dac2"
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},
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"/content/drive/MyDrive\n"
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]
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}
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],
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"source": [
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"%cd /content/drive/MyDrive\n",
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"# %cd /content/"
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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": null,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "M1kqCF2e4rtk",
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"outputId": "61ce92d3-b844-4543-9a0a-ba6d914e3af9"
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},
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"0 - Retrieved article: 'e' (गणितीय अचर)\n",
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43 |
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"10 - Retrieved article: अँद्रे मारी एम्पियर\n",
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44 |
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"500 - Retrieved article: अपाचे वेब सर्भर\n",
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45 |
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"1000 - Retrieved article: अली असगर\n",
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46 |
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"1500 - Retrieved article: आन्तरिक मामिला तथा कानून मन्त्री (कोशी प्रदेश)\n",
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"2000 - Retrieved article: इभा मेन्डीज\n",
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48 |
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"2500 - Retrieved article: ऋतु वर्मा\n",
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49 |
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"3000 - Retrieved article: एशियन लाईफ इन्स्योरेन्स कम्पनी लिमिटेड\n",
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50 |
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"3500 - Retrieved article: कब्बलाह\n",
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51 |
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"4000 - Retrieved article: कानपुर\n",
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52 |
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"4500 - Retrieved article: कुँइकेल\n",
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53 |
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"5000 - Retrieved article: केरी मुल्लिगन\n",
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54 |
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"5500 - Retrieved article: क्रेस्टन,ओहायो\n",
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55 |
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"6000 - Retrieved article: गङ्गालाल तुलाधर\n",
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56 |
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"6500 - Retrieved article: गुरूत्वप्रवेग\n",
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57 |
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"7000 - Retrieved article: घटाउ\n",
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58 |
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"7500 - Retrieved article: चाल्सा\n",
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"8000 - Retrieved article: छाया\n",
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"8500 - Retrieved article: जाँतो\n",
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"9000 - Retrieved article: जेम्स मिल्नर\n",
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"9500 - Retrieved article: टाइम (पत्रिका)\n",
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"10000 - Retrieved article: डायलग आजीयाटा\n",
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"10500 - Retrieved article: ताको\n",
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"11000 - Retrieved article: त्रिपुरासुन्दरी गाउँपालिका, धादिङ\n",
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"11500 - Retrieved article: दशावतार (२००८ चलचित्र)\n",
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"12000 - Retrieved article: देवी-देवता\n",
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"12500 - Retrieved article: नकुल अभ्यङ्कर\n",
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"13000 - Retrieved article: नारायणी रङ्गशाला\n",
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"13500 - Retrieved article: नेपाल राष्ट्रिय अन्डर-२० फुटबल टोली\n",
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"14000 - Retrieved article: नौवाखोर पर्साही\n",
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"14500 - Retrieved article: पश्चिम सिक्किम साहित्य प्रकाशन\n",
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"15000 - Retrieved article: पिडारी\n",
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"15500 - Retrieved article: पोखरी भञ्ज्याङ\n",
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"16000 - Retrieved article: फक्सिब\n",
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"16500 - Retrieved article: बगहा\n",
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"17000 - Retrieved article: बहुअरवा भाठा\n",
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"17500 - Retrieved article: बिल गेट्स\n",
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"18000 - Retrieved article: बोलांगीर\n",
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"18500 - Retrieved article: भारतको उपप्रधानमन्त्री\n",
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81 |
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"19000 - Retrieved article: भेसुभियस पर्वत\n",
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"19500 - Retrieved article: मनीष पाण्डे\n",
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83 |
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"20000 - Retrieved article: माइक्रोम्याक्स\n",
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84 |
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"20500 - Retrieved article: माहेला जयवर्दने\n",
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85 |
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"21000 - Retrieved article: मेट्रिक्स\n",
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86 |
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"21500 - Retrieved article: यश (अभिनेता)\n",
|
87 |
+
"22000 - Retrieved article: रमित ढुङ्गाना\n",
|
88 |
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"22500 - Retrieved article: राफ्टिङ\n",
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89 |
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"23000 - Retrieved article: रुपन्देही २ (निर्वाचन क्षेत्र)\n",
|
90 |
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"23500 - Retrieved article: लन्जरी\n",
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"24000 - Retrieved article: लुना २५\n",
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"24500 - Retrieved article: वायु फ्यालफ्याले\n",
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"25000 - Retrieved article: विश्वामित्र (स्पष्टता)\n",
|
94 |
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"25500 - Retrieved article: शिक्षा, विज्ञान तथा प्रविधि मन्त्रालय (नेपाल)\n",
|
95 |
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"26000 - Retrieved article: संयुक्त अरब इमिरेट्स महिला राष्ट्रिय फुटबल टोली\n",
|
96 |
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"26500 - Retrieved article: समानान्तर चतुर्भुज\n",
|
97 |
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"27000 - Retrieved article: साधना शिवदासानी\n",
|
98 |
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"27500 - Retrieved article: सिन्डी क्रफोर्ड\n",
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99 |
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"28000 - Retrieved article: सुपेरियर ताल\n",
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"28500 - Retrieved article: सोफी टर्नर (मोडल)\n",
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101 |
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"29000 - Retrieved article: हबिगन्ज जिल्ला\n",
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102 |
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"29500 - Retrieved article: हिमोफोलिया\n",
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103 |
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"30000 - Retrieved article: २०१६ फा कम्युनिटी शिल्ड\n",
|
104 |
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"Saved 30156 articles to nepali_wikipedia_articles.json\n"
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]
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}
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],
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"source": [
|
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"import requests\n",
|
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"import time\n",
|
111 |
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"from typing import List, Dict\n",
|
112 |
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"import json\n",
|
113 |
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"import math\n",
|
114 |
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"\n",
|
115 |
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"class WikipediaNepaliExtractor:\n",
|
116 |
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" def __init__(self):\n",
|
117 |
+
" self.base_url = \"https://ne.wikipedia.org/w/api.php\"\n",
|
118 |
+
" self.session = requests.Session()\n",
|
119 |
+
"\n",
|
120 |
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" def get_articles(self, limit: int = 500) -> List[Dict]:\n",
|
121 |
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" \"\"\"\n",
|
122 |
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" Fetch Nepali Wikipedia articles using the API\n",
|
123 |
+
"\n",
|
124 |
+
" Args:\n",
|
125 |
+
" limit (int): Maximum number of articles to retrieve\n",
|
126 |
+
"\n",
|
127 |
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" Returns:\n",
|
128 |
+
" List[Dict]: List of articles with title and content\n",
|
129 |
+
" \"\"\"\n",
|
130 |
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" articles = []\n",
|
131 |
+
" continue_param = ''\n",
|
132 |
+
" count = 0\n",
|
133 |
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"\n",
|
134 |
+
" while len(articles) < limit:\n",
|
135 |
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" params = {\n",
|
136 |
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" 'action': 'query',\n",
|
137 |
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" 'format': 'json',\n",
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138 |
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" 'list': 'allpages',\n",
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139 |
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" 'aplimit': min(50, limit - len(articles)),\n",
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140 |
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" 'apnamespace': 0, # Main article namespace\n",
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141 |
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" 'apfilterredir': 'nonredirects' # Skip redirects\n",
|
142 |
+
" }\n",
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143 |
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"\n",
|
144 |
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" if continue_param:\n",
|
145 |
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" params['apcontinue'] = continue_param\n",
|
146 |
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"\n",
|
147 |
+
" try:\n",
|
148 |
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" response = self.session.get(self.base_url, params=params)\n",
|
149 |
+
"\n",
|
150 |
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" response.raise_for_status()\n",
|
151 |
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" data = response.json()\n",
|
152 |
+
"\n",
|
153 |
+
" # Extract articles from response\n",
|
154 |
+
" for page in data['query']['allpages']:\n",
|
155 |
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" article = self._get_article_content(page['pageid']) # e.g. page['pageid'] = 126154\n",
|
156 |
+
" if article:\n",
|
157 |
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" articles.append(article)\n",
|
158 |
+
"\n",
|
159 |
+
" if count ==10 or count%500==0:\n",
|
160 |
+
" print(f\"{count} - Retrieved article: {article['title']}\")\n",
|
161 |
+
" count += 1\n",
|
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"\n",
|
163 |
+
" # Check if there are more articles to fetch\n",
|
164 |
+
" if 'continue' in data and 'apcontinue' in data['continue']:\n",
|
165 |
+
" continue_param = data['continue']['apcontinue']\n",
|
166 |
+
" else:\n",
|
167 |
+
" break\n",
|
168 |
+
"\n",
|
169 |
+
" # Add delay to avoid hitting API limits\n",
|
170 |
+
" time.sleep(1)\n",
|
171 |
+
"\n",
|
172 |
+
" except requests.exceptions.RequestException as e:\n",
|
173 |
+
" print(f\"Error fetching articles: {e}\")\n",
|
174 |
+
" break\n",
|
175 |
+
"\n",
|
176 |
+
" return articles\n",
|
177 |
+
"\n",
|
178 |
+
" def _get_article_content(self, page_id: int) -> Dict:\n",
|
179 |
+
" \"\"\"\n",
|
180 |
+
" Fetch content for a specific article by page ID\n",
|
181 |
+
"\n",
|
182 |
+
" Args:\n",
|
183 |
+
" page_id (int): Wikipedia page ID\n",
|
184 |
+
" e.g. 126154\n",
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185 |
+
"\n",
|
186 |
+
" Returns:\n",
|
187 |
+
" Dict: Article information including title and content\n",
|
188 |
+
" \"\"\"\n",
|
189 |
+
" # # wikipedia markup\n",
|
190 |
+
" # params = {\n",
|
191 |
+
" # 'action': 'query',\n",
|
192 |
+
" # 'format': 'json',\n",
|
193 |
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" # 'pageids': 126154,\n",
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194 |
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" # 'prop': 'revisions',\n",
|
195 |
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" # 'rvprop': 'content',\n",
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196 |
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" # 'rvslots': '*'\n",
|
197 |
+
" # }\n",
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"\n",
|
199 |
+
" # plain text\n",
|
200 |
+
" params = {\n",
|
201 |
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" 'action': 'query',\n",
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202 |
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" 'format': 'json',\n",
|
203 |
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" 'pageids': page_id,\n",
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204 |
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" 'prop': 'extracts',\n",
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205 |
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" 'explaintext': True,\n",
|
206 |
+
" # 'exlimit': 'max'\n",
|
207 |
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" # 'exchars': 2000000\n",
|
208 |
+
" }\n",
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209 |
+
"\n",
|
210 |
+
" try:\n",
|
211 |
+
" response = self.session.get(self.base_url, params=params)\n",
|
212 |
+
" response.raise_for_status()\n",
|
213 |
+
" data = response.json()\n",
|
214 |
+
"\n",
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215 |
+
" page_data = data['query']['pages'][str(page_id)]\n",
|
216 |
+
" # print(f'page_data:{page_data}')\n",
|
217 |
+
" # print(f'data:{data}')\n",
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218 |
+
" return {\n",
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219 |
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" 'title': page_data['title'],\n",
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220 |
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" 'content': page_data.get('extract', ''),\n",
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221 |
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" 'pageid': page_id,\n",
|
222 |
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" 'length': page_data.get('length', 0)\n",
|
223 |
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" }\n",
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224 |
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"\n",
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225 |
+
" except requests.exceptions.RequestException as e:\n",
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226 |
+
" print(f\"Error fetching article content for page {page_id}: {e}\")\n",
|
227 |
+
" return None\n",
|
228 |
+
"\n",
|
229 |
+
"def save_articles_to_file(articles: List[Dict], filename: str):\n",
|
230 |
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" \"\"\"\n",
|
231 |
+
" Save extracted articles to a JSON file\n",
|
232 |
+
"\n",
|
233 |
+
" Args:\n",
|
234 |
+
" articles (List[Dict]): List of article dictionaries\n",
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235 |
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" filename (str): Output filename\n",
|
236 |
+
" \"\"\"\n",
|
237 |
+
" with open(filename, 'w', encoding='utf-8') as f:\n",
|
238 |
+
" json.dump(articles, f, ensure_ascii=False, indent=2)\n",
|
239 |
+
"\n",
|
240 |
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"def main():\n",
|
241 |
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" extractor = WikipediaNepaliExtractor()\n",
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242 |
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"\n",
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243 |
+
" # Get 100 articles (you can modify this number)\n",
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244 |
+
" articles = extractor.get_articles(limit=math.inf) # 100\n",
|
245 |
+
"\n",
|
246 |
+
" # Save to file\n",
|
247 |
+
" save_articles_to_file(articles, 'nepali_wikipedia_articles.json')\n",
|
248 |
+
" print(f\"Saved {len(articles)} articles to nepali_wikipedia_articles.json\")\n",
|
249 |
+
"\n",
|
250 |
+
"if __name__ == \"__main__\":\n",
|
251 |
+
" main()"
|
252 |
+
]
|
253 |
+
},
|
254 |
+
{
|
255 |
+
"cell_type": "code",
|
256 |
+
"source": [
|
257 |
+
"# push to huggingface\n",
|
258 |
+
"\n",
|
259 |
+
"from huggingface_hub import HfApi\n",
|
260 |
+
"api = HfApi()\n",
|
261 |
+
"api.upload_file(\n",
|
262 |
+
" path_or_fileobj=\"nepali_wikipedia_articles.json\",\n",
|
263 |
+
" path_in_repo=\"wikipedia_nepali/feb_10_count_30156.json\",\n",
|
264 |
+
" repo_id=\"Aananda-giri/nepali_llm_datasets\",\n",
|
265 |
+
" repo_type=\"dataset\"\n",
|
266 |
+
")"
|
267 |
+
],
|
268 |
+
"metadata": {
|
269 |
+
"id": "64di2aPVAO9a",
|
270 |
+
"colab": {
|
271 |
+
"base_uri": "https://localhost:8080/",
|
272 |
+
"height": 173
|
273 |
+
},
|
274 |
+
"outputId": "ef7a89b4-08f6-4f65-ea3d-c2205cc3cbe8"
|
275 |
+
},
|
276 |
+
"execution_count": 17,
|
277 |
+
"outputs": [
|
278 |
+
{
|
279 |
+
"output_type": "execute_result",
|
280 |
+
"data": {
|
281 |
+
"text/plain": [
|
282 |
+
"CommitInfo(commit_url='https://huggingface.co/datasets/Aananda-giri/nepali_llm_datasets/commit/c1082d805d5347dbb1d1700448e0e31d2ccda665', commit_message='Upload wikipedia_nepali/feb_10_count_30156.json with huggingface_hub', commit_description='', oid='c1082d805d5347dbb1d1700448e0e31d2ccda665', pr_url=None, repo_url=RepoUrl('https://huggingface.co/datasets/Aananda-giri/nepali_llm_datasets', endpoint='https://huggingface.co', repo_type='dataset', repo_id='Aananda-giri/nepali_llm_datasets'), pr_revision=None, pr_num=None)"
|
283 |
+
],
|
284 |
+
"application/vnd.google.colaboratory.intrinsic+json": {
|
285 |
+
"type": "string"
|
286 |
+
}
|
287 |
+
},
|
288 |
+
"metadata": {},
|
289 |
+
"execution_count": 17
|
290 |
+
}
|
291 |
+
]
|
292 |
+
}
|
293 |
+
],
|
294 |
+
"metadata": {
|
295 |
+
"colab": {
|
296 |
+
"provenance": []
|
297 |
+
},
|
298 |
+
"kernelspec": {
|
299 |
+
"display_name": "Python 3",
|
300 |
+
"name": "python3"
|
301 |
+
},
|
302 |
+
"language_info": {
|
303 |
+
"name": "python"
|
304 |
+
}
|
305 |
+
},
|
306 |
+
"nbformat": 4,
|
307 |
+
"nbformat_minor": 0
|
308 |
+
}
|