PetraAI/Zalmati
Text Classification
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Updated
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20231101.ab_807_0
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https://ab.wikipedia.org/wiki/%D0%90%D4%A5%D1%81%D1%83%D0%B0%20%D0%B1%D1%8B%D0%B7%D1%88%D3%99%D0%B0
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Аԥсуа бызшәа
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Ацыбжьыҟақәа уԥылоит бзыԥтәи адиалект мцараҿ, аиеҵәа ԥшшәыла иазгәаҭо бзыԥтәи, асаӡтәи диалектқәа — аиаҵәала, абжьауатәи — ҟаԥшьыла.
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20231101.ab_807_1
|
https://ab.wikipedia.org/wiki/%D0%90%D4%A5%D1%81%D1%83%D0%B0%20%D0%B1%D1%8B%D0%B7%D1%88%D3%99%D0%B0
|
Аԥсуа бызшәа
|
Авелиартә фрикатақәа иреиԥшхаӡом ахархәара аҭыԥ зеиԥшро ала, авелиартәи ма аувелиартәи, иахьатәи аамҭаз бзыԥтәы адиалект аҿы ахархәара амоуп афрингалтә шьҭабжьқәа /χˁ χˁʷ/.
|
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20231101.ab_807_2
|
https://ab.wikipedia.org/wiki/%D0%90%D4%A5%D1%81%D1%83%D0%B0%20%D0%B1%D1%8B%D0%B7%D1%88%D3%99%D0%B0
|
Аԥсуа бызшәа
|
Ахәлымшәытә еидылара [ʔ] ицәырнагоит, актәи ахархәаратә феномен аҟынтә /q’/, аҩбатәи, иара убас иуԥылоит ажәаҿ /ʔaj/ «мап». /ɥ/ уи иахылҵуеит аҟырҟы еиҵалара /ʕʷ/, иара убас уи уаҳауеит анхарҭа ҭыԥқәакырҿ.
|
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20231101.ab_1040_0
|
https://ab.wikipedia.org/wiki/%D0%90%D2%9F%D3%99%D0%B0
|
Аҟәа
|
А́ҟәа () — Аԥсны Аҳәынҭқарра аҳҭнықалақь. Аҟәа - Аԥсны аполитикеи, ааглыхреи, акультуреи, аҵаралашареи, аҭҵаарадырреи ирцентруп (ирыгәҭылсоуп). Уи ихадоу мҩа еилысырҭоуп. Аҟәа иҟоуп Аԥсны апорт хада. Аҟәа - Аԥсны агәы, аӡиасқәа Аӡаԥшьи, Баслеи, Кьалашәыри Амшын Еиқәа иахьалало аҭыԥ аҿы иҟоуп. Аҟәа алада Амшын Еиқәа Аҟәатәи агаҿеи аҩада ашьхақәа Самаҭхәа (Аҟәатәи ашьха), Ҳаҭхәа (Трапециа) уҳәа рынаара ибжьакуп.
|
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20231101.ab_1040_1
|
https://ab.wikipedia.org/wiki/%D0%90%D2%9F%D3%99%D0%B0
|
Аҟәа
|
Аҟәа инхоит 62 914-ҩык (2011). Ахацәа – 44,2%, аҳәса – 55,8%. Аетникатә еилазаашьа: аԥсуаа – 67,3%, аурысцәа – 14,8%, аерманцәа – 9,8%, ақырҭцәа – 2,7%, аукраинцәа – 1,1%, абырзенцәа – 1,0%, агырцәа – 0,1%, ашәанцәа – 0,1%, егьырҭ амилаҭқәа – 3,1%.
|
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20231101.ab_1040_2
|
https://ab.wikipedia.org/wiki/%D0%90%D2%9F%D3%99%D0%B0
|
Аҟәа
|
Аҟәа - ижәытәӡатәиу Кавказтәи ақалақьқәа ируакуп. Раԥхьаӡа акәны араҟа ауаа рынхарҭақәа апалеолит аамҭақәа ирыҵаркуеит. 6-тәи ашә. ҳера ҟалаанӡа иахьатәи Аҟәа аҭыԥан ишьақәыргылан абырзенцәа рколониа Диоскуриада. Анаҩс араҟа ицәырҵит римтәи абаа Себастополис. 8-тәи ашә.инаркны Аҟәа Аԥсуа аҳраҿы инареиҳаз нхарҭа ҭыԥны иҟан. 13-15 ашәышықәсақәа раан Аҟәа агенуезқәа рколониа акәын, Сан-Себастиан ахьӡын. 16-тәи ашәышықәса инаркны 19-тәи ашәышықәса алагамҭа аҟынӡа ара иҟан аҭырқәцәа рбаа Сухум-қале. 19-тәи ашәышықәса алагамҭа инаркны, Лыхны инаваргыланы, Аҟәа аҳҭны қалақь ароль анагӡара иалагоит. 1877 шықәсазы аурыс-аҭырқәа еибашьраан Аҟәа хәаш-хәаша ирыбган.19-тәи ашәышықәса анҵәамҭазы Аҟәа аиҭашьақәыргылара нап аркын.
|
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20231101.ab_1040_3
|
https://ab.wikipedia.org/wiki/%D0%90%D2%9F%D3%99%D0%B0
|
Аҟәа
|
Аҟәа адгьылҵакыра зегьы даара ибеиоуп археологиатәи аҭоурыхтә-архитектуратәи баҟақәа рыла. Араҟа иҟоуп апалеолит аамҭа иаҵанакуа аанкыларҭақәа ҩба, ҳера ҟалаанӡа 3-1 азқьышықәсақәа ирыҵаркуа анхарҭа ҭыԥқәа рышьҭа-мышьҭақәа рацәаны, 2-тәи ашә. иаҵанакуа римтәи аԥшыхәырҭатә баашқәа 2., Баграт ишьхаҿы игылоу аҭоурыхтә-архитектуратә ҳәырԥсарра «Баграт иныхабаа» иаҵанакуеит 10-11 ашә. рзтәи ахырӷәӷәарҭа. Диоскураа рыгаҿа аҟны иҟоуп аҳәынҭқарратә архитектуратә-ҭоурыхтә музеи-ҳәырԥсарра «Аҟәатәи ахырӷәӷәаррҭа». Уи еиуеиԥшым ахәҭақәа рыргылара иаҵанакуеит 1-4, 11-13, 16-18 ашәышықәсақәа. Ақалақь мраҭашәаратәи аҿацә аҿы иҟоуп ақалақьргыларатә архитектура еиуоу, 1861 шықәсазы иргылаз Аҟәатәи алашарбага. Аҟәа аҭоурыхтә центр аҿы иҟоуп 19-тәи ашәышықәсеи -20-тәи ашәышықәса алагамҭеи ирыҵаркуа, ақалақь ауникалтә хаҿы аазырԥшуа архитектуратә баҟақәа 200.
|
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20231101.ab_1040_4
|
https://ab.wikipedia.org/wiki/%D0%90%D2%9F%D3%99%D0%B0
|
Аҟәа
|
Аҟәа аус руеит аиашахаҵаратә ныхақәа ҩба. Раԥхьатәи ақалақь агәҭан иргылан 1908-1915 шш. рзы, бырзен ныхак аҳасабала. Егьи, 1821 ш. рзы иргылаз Аԥшьа Гьаргь иныха ақалақь мрагыларатәи ахәҭа, апансионат «Аиҭар» аҵакырадгьыл аҿы иҟоуп. Ақалақь агәҭаҿы иара убасгьы иҟоуп акотоликатә костел (1908), алиутерантә кирха(1915), ауриатә синагога (1918), аԥсылмантә џьаама.
|
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20231101.ab_1040_5
|
https://ab.wikipedia.org/wiki/%D0%90%D2%9F%D3%99%D0%B0
|
Аҟәа
|
Агеографиатә ҭыԥырбагақәа - 43°00’ с.ш. 41°00’ в.д. Аҟәа амраҭашәарахьтәи ахәҭаҿы иҟоуп Аҟәатәи аӡҭачы. Ацәаакыра змоу асубтропикатә ҳауа, аԥхын – ашоура ӷәӷәа, аӡын – ацәаакыра зцу аҳауа ԥха. Нанҳәазтәи абжьаратә шоура - +24, жьырныҳәазы - +5,7 °C. Бжьаратәла шықәсык ахьтә 1453 мм ақәа леиуеит. Мрагыларахь ала аҳҭны қалақь ҳәаас иамоуп ақ. Маҷара (Гәылрыԥшьтәи араион). Аҟәа аладатәи адгьылҵакыра аӡиас Кьалашәыр ала Амшын Еиқәа аҟынӡа инеиуеит. Егьырҭ аганқәа зегьы рыла ҳәаас иамоуп Аҟәатәи араион иаҵанакуа ақыҭақәа: мрагылараҿы – ақ.Гәмысҭа, аҩада-мраҭашәарахьынтә – ақ. Иашҭхәа, аҩадантә – ақ. Баслаҭа, аҩада-мрагыларахьтә – ақ. Ӡыгәҭа. Аҟәа иаҵанакуа Амшын Еиқәа агаҿатә цәаҳәа аура 12,5 км ыҟоуп. Ақалақь адгьылҵакыра – 21,0 км2 . Аҟәа – Аԥсны хаз игоу дгьылҵакыраны иԥхьаӡоуп. Уи Аҟәа араион иаҵанакӡом. Аԥсны иҟоу административтә-ҵакырадгьылқәа 8 рҟынтә Аҟәа уааԥсырала зегь иреиҳауп, аха ҵакырадгьылла зегьы иреиҵоуп. Аҟәа иҟоуп Аԥсны аҳәынҭқарратә напхгарақәа зегьы: Аԥсны Ахада инапхгара, Апарламент – Жәлар Реизара, аминистрцәа реилазаара, аминистррақәа, аусбарҭа хадақәа, Апрокуратура Хада, Иреиҳаӡоуи Аконституциатәи аӡбарҭақәа. Аҳҭнықалақь аҭыԥантәи аҳәынҭқарратә хадарас иҟоуп ақалақь ахадара. Аҭыԥантәи ахаланапхгаратә усбарҭас иҟоуп Аҟәатәи ақалақьтә Еизара. Иара убас Аҟәа иҟоуп Аҟәатәи араион анапхгара.
|
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0.007114410400390625,
-0.03277587890625,
0.0054168701171875,
-0.0194244384765625,
-0.0013141632080078125,
-0.0092620849609375,
0.04351806640625,
0.0116119384765625
] |
20231101.ab_1040_6
|
https://ab.wikipedia.org/wiki/%D0%90%D2%9F%D3%99%D0%B0
|
Аҟәа
| "Аҟәа иахьа аус руеит Аԥсны аҳәынҭқарратә университет,(...TRUNCATED) | [0.017486572265625,0.0130462646484375,-0.0007338523864746094,0.02459716796875,-0.026031494140625,0.0(...TRUNCATED) |
End of preview. Expand
in Data Studio
Multilingual Embeddings for Wikipedia in 300+ Languages
This dataset contains the wikimedia/wikipedia dataset dump from 2023-11-01 from Wikipedia in all 300+ languages.
The individual articles have been chunked and embedded with the state-of-the-art multilingual Cohere Embed V3 embedding model. This enables an easy way to semantically search across all of Wikipedia or to use it as a knowledge source for your RAG application. In total is it close to 250M paragraphs / embeddings.
You can also use the model to perform cross-lingual search: Enter your search query in any language and get the most relevant results back.
Loading the dataset
Loading the document embeddings
You can either load the dataset like this:
from datasets import load_dataset
lang = "simple" #Use the Simple English Wikipedia subset
docs = load_dataset("Cohere/wikipedia-2023-11-embed-multilingual-v3", lang, split="train")
Or you can also stream it without downloading it before:
from datasets import load_dataset
lang = "simple" #Use the Simple English Wikipedia subset
docs = load_dataset("Cohere/wikipedia-2023-11-embed-multilingual-v3", lang, split="train", streaming=True)
for doc in docs:
doc_id = doc['_id']
title = doc['title']
text = doc['text']
emb = doc['emb']
Note, depending on the language, the download can be quite large.
Search
A full search example (on the first 1,000 paragraphs):
#Run: pip install cohere datasets numpy
from datasets import load_dataset
import numpy as np
import cohere
co = cohere.Client("YOUR_COHERE_API_KEY") # Add your cohere API key from www.cohere.com
lang = "simple"
top_k = 3
#Load at max 1000 chunks + embeddings
max_docs = 1000
docs_stream = load_dataset(f"Cohere/wikipedia-2023-11-embed-multilingual-v3", lang, split="train", streaming=True)
docs = []
doc_embeddings = []
for doc in docs_stream:
docs.append(doc)
doc_embeddings.append(doc['emb'])
if len(docs) >= max_docs:
break
doc_embeddings = np.asarray(doc_embeddings)
query = 'Who was Alan Turing'
response = co.embed(texts=[query], model='embed-multilingual-v3.0', input_type="search_query")
query_embedding = response.embeddings
query_embedding = np.asarray(query_embedding)
# Compute dot score between query embedding and document embeddings
dot_scores = np.matmul(query_embedding, doc_embeddings.transpose())[0]
top_k_hits = np.argpartition(dot_scores, -top_k)[-top_k:].tolist()
# Sort top_k_hits by dot score
top_k_hits.sort(key=lambda x: dot_scores[x], reverse=True)
# Print results
print("Query:", query)
for doc_id in top_k_hits:
print(docs[doc_id]['title'])
print(docs[doc_id]['text'])
print(docs[doc_id]['url'], "\n")
Overview
The following table contains all language codes together with the total numbers of passages.
| Language | #Docs |
|---|---|
| en | 41,488,110 |
| de | 20,772,081 |
| fr | 17,813,768 |
| ru | 13,734,543 |
| es | 12,905,284 |
| it | 10,462,162 |
| ceb | 9,818,657 |
| uk | 6,901,192 |
| ja | 6,626,537 |
| nl | 6,101,353 |
| pl | 5,973,650 |
| pt | 5,637,930 |
| sv | 4,911,480 |
| ca | 4,156,889 |
| ar | 3,691,451 |
| cs | 3,118,524 |
| he | 2,948,882 |
| hu | 2,924,609 |
| vi | 2,835,049 |
| zh | 2,775,260 |
| fi | 2,427,097 |
| id | 2,358,335 |
| no | 2,211,270 |
| sr | 2,154,631 |
| fa | 2,073,154 |
| tr | 1,775,036 |
| ro | 1,770,527 |
| el | 1,599,770 |
| ko | 1,513,291 |
| bg | 1,455,765 |
| hy | 1,386,140 |
| eu | 1,327,579 |
| da | 1,224,982 |
| eo | 1,216,706 |
| war | 1,185,097 |
| sh | 1,139,309 |
| tt | 1,119,546 |
| arz | 1,089,164 |
| gl | 1,056,990 |
| et | 1,054,770 |
| ce | 1,013,217 |
| ast | 1,010,445 |
| sl | 984,855 |
| hr | 910,923 |
| sk | 874,014 |
| ms | 869,579 |
| be | 857,033 |
| th | 839,712 |
| az | 817,631 |
| uz | 811,028 |
| mk | 784,576 |
| lt | 770,069 |
| bn | 767,965 |
| cy | 762,338 |
| ta | 685,975 |
| simple | 646,424 |
| te | 634,778 |
| kk | 627,085 |
| ka | 595,401 |
| hi | 541,822 |
| nn | 530,590 |
| lv | 484,957 |
| af | 461,674 |
| ba | 434,939 |
| ur | 434,269 |
| bs | 396,692 |
| sq | 388,788 |
| ml | 384,795 |
| min | 373,156 |
| la | 340,521 |
| pnb | 335,958 |
| be-x-old | 314,600 |
| kn | 309,085 |
| azb | 294,248 |
| oc | 283,297 |
| zh-min-nan | 278,547 |
| fy | 248,075 |
| my | 241,025 |
| lb | 216,558 |
| ky | 216,344 |
| als | 206,387 |
| mr | 203,479 |
| br | 200,486 |
| pa | 188,091 |
| is | 177,272 |
| mg | 171,947 |
| sw | 171,650 |
| ha | 167,807 |
| tl | 166,907 |
| nds | 166,019 |
| an | 143,163 |
| jv | 142,104 |
| ps | 138,240 |
| ig | 132,250 |
| new | 128,696 |
| tg | 128,237 |
| ga | 125,456 |
| lld | 125,094 |
| su | 124,390 |
| cv | 122,671 |
| ckb | 120,886 |
| si | 119,223 |
| mn | 114,878 |
| lmo | 103,836 |
| io | 101,713 |
| gu | 99,450 |
| vec | 95,072 |
| zh-yue | 89,145 |
| bar | 88,238 |
| sco | 83,906 |
| ne | 83,598 |
| ku | 82,935 |
| hyw | 82,343 |
| pms | 77,834 |
| as | 76,093 |
| km | 74,177 |
| sah | 71,599 |
| li | 69,267 |
| or | 65,510 |
| mt | 64,038 |
| szl | 56,836 |
| yi | 55,375 |
| ht | 55,079 |
| dag | 53,343 |
| sa | 51,735 |
| nv | 49,355 |
| bpy | 47,757 |
| vo | 47,375 |
| ug | 44,764 |
| sat | 43,500 |
| ia | 42,012 |
| bo | 41,438 |
| mwl | 41,273 |
| sd | 40,395 |
| bcl | 39,967 |
| mnw | 39,578 |
| hsb | 39,560 |
| avk | 39,001 |
| scn | 38,359 |
| rm | 37,436 |
| diq | 34,743 |
| vep | 33,654 |
| xmf | 33,238 |
| ban | 32,320 |
| wa | 32,132 |
| ilo | 31,046 |
| nds-nl | 30,918 |
| qu | 30,529 |
| so | 29,936 |
| mhr | 29,619 |
| vls | 29,227 |
| sc | 28,977 |
| fo | 28,809 |
| gd | 28,149 |
| rw | 28,037 |
| gom | 27,792 |
| yo | 27,789 |
| tum | 26,743 |
| wuu | 26,532 |
| frr | 26,010 |
| sn | 25,941 |
| tk | 24,269 |
| blk | 24,194 |
| mzn | 23,837 |
| co | 23,065 |
| szy | 22,854 |
| am | 22,467 |
| shn | 22,432 |
| skr | 21,081 |
| lfn | 20,781 |
| tyv | 20,762 |
| lij | 20,553 |
| ie | 19,994 |
| rue | 19,916 |
| crh | 19,016 |
| gor | 18,146 |
| ary | 17,463 |
| dv | 16,941 |
| lg | 16,751 |
| roa-tara | 16,572 |
| bjn | 16,429 |
| tw | 16,304 |
| bh | 15,938 |
| pam | 15,134 |
| os | 15,096 |
| myv | 15,062 |
| gn | 14,983 |
| lez | 14,152 |
| mai | 13,806 |
| kv | 13,534 |
| pcd | 13,057 |
| zh-classical | 12,791 |
| zea | 12,528 |
| lo | 12,525 |
| gv | 12,074 |
| stq | 11,890 |
| zu | 11,680 |
| smn | 11,672 |
| kw | 11,539 |
| bat-smg | 11,240 |
| hif | 11,215 |
| ext | 10,967 |
| ace | 10,821 |
| trv | 10,546 |
| ami | 10,538 |
| tcy | 10,531 |
| lad | 10,386 |
| alt | 10,256 |
| pap | 10,187 |
| kab | 10,179 |
| fur | 10,148 |
| nap | 10,079 |
| mrj | 9,771 |
| kaa | 9,548 |
| nqo | 9,153 |
| glk | 9,120 |
| pfl | 8,790 |
| fiu-vro | 8,757 |
| nso | 8,635 |
| jbo | 8,577 |
| bxr | 8,549 |
| wo | 8,549 |
| olo | 8,530 |
| map-bms | 8,393 |
| ksh | 8,226 |
| csb | 8,085 |
| av | 7,873 |
| mni | 7,740 |
| udm | 7,730 |
| mi | 7,643 |
| kbp | 7,616 |
| dsb | 7,536 |
| frp | 7,294 |
| om | 7,045 |
| ang | 7,023 |
| hak | 6,866 |
| gur | 6,761 |
| se | 6,733 |
| anp | 6,704 |
| tay | 6,434 |
| mdf | 6,351 |
| gcr | 6,347 |
| koi | 6,300 |
| krc | 6,293 |
| ay | 5,985 |
| cdo | 5,917 |
| nrm | 5,786 |
| xh | 5,756 |
| tn | 5,712 |
| tly | 5,598 |
| shi | 5,179 |
| pcm | 5,076 |
| fat | 4,968 |
| nia | 4,795 |
| dty | 4,728 |
| kbd | 4,667 |
| gpe | 4,289 |
| cbk-zam | 4,224 |
| ff | 4,166 |
| dz | 4,117 |
| guw | 3,982 |
| eml | 3,979 |
| ln | 3,774 |
| inh | 3,768 |
| nah | 3,720 |
| ab | 3,465 |
| ks | 3,255 |
| mad | 3,236 |
| haw | 3,227 |
| gag | 3,076 |
| tet | 3,030 |
| ny | 2,933 |
| pag | 2,727 |
| guc | 2,454 |
| roa-rup | 2,409 |
| jam | 2,387 |
| awa | 2,242 |
| pdc | 2,239 |
| to | 2,165 |
| za | 2,132 |
| st | 2,051 |
| ltg | 2,005 |
| atj | 1,967 |
| nov | 1,916 |
| ss | 1,904 |
| pwn | 1,881 |
| ee | 1,819 |
| sm | 1,659 |
| ts | 1,645 |
| gan | 1,626 |
| xal | 1,619 |
| kcg | 1,555 |
| cu | 1,477 |
| srn | 1,395 |
| got | 1,280 |
| fon | 1,247 |
| din | 1,214 |
| arc | 1,167 |
| fj | 1,164 |
| rmy | 1,113 |
| ady | 1,040 |
| rn | 1,033 |
| bm | 1,017 |
| tpi | 957 |
| ve | 919 |
| ki | 798 |
| pnt | 796 |
| chr | 788 |
| kl | 770 |
| lbe | 766 |
| bi | 718 |
| ti | 706 |
| kg | 609 |
| pih | 606 |
| ch | 513 |
| bug | 429 |
| ty | 297 |
| ik | 275 |
| iu | 263 |
| pi | 260 |
| sg | 204 |
| chy | 57 |
| cr | 41 |
| Total | 247,154,006 |
- Downloads last month
- 7,061
Size of downloaded dataset files:
536 GB
Size of the auto-converted Parquet files:
536 GB
Number of rows:
247,154,006
