Datasets:
nkjp-pos

Task Categories: structure-prediction
Multilinguality: monolingual
Size Categories: unknown
Language Creators: other
Annotations Creators: expert-generated
Source Datasets: original
Dataset Preview Go to dataset viewer
id (string)tokens (json)pos_tags (json)
610-1-000883_morph_1.27-s
[ "1", ".", "Przewodniczący", "obwodowej", "komisji", "wyborczej", "przesyła", "niezwłocznie", "jeden", "egzemplarz", "protokołu", "głosowania", "w", "zapieczętowanej", "kopercie", "właściwej", "okręgowej", "komisji", "wyborczej", "w", "trybie", "ustalonym", "przez", "Państwową", "Komisję", "Wyborczą", "." ]
[ 25, 17, 13, 25, 13, 25, 32, 0, 25, 13, 13, 13, 10, 27, 13, 25, 25, 13, 25, 10, 13, 27, 10, 25, 13, 25, 17 ]
610-1-000883_morph_1.45-s
[ "2", ".", "Do", "protokołu", "obwodowa", "komisja", "wyborcza", "dołącza", "wyjaśnienie", "dotyczące", "zarzutów", "wniesionych", "do", "protokołu", "przez", "mężów", "zaufania", "." ]
[ 25, 17, 10, 13, 25, 13, 25, 32, 13, 19, 13, 27, 10, 13, 10, 13, 13, 17 ]
620-3-010001449_morph_1.4-s
[ "Jak", "to", "po", "co", "?" ]
[ 0, 13, 10, 13, 17 ]
620-3-010001449_morph_1.8-s
[ "Aby", "zarabiać", "pieniądze", "!" ]
[ 15, 11, 13, 17 ]
620-3-010001449_morph_1.22-s
[ "Zwróć", "uwagę", "na", "paniczne", "wręcz", "w", "swym", "brzmieniu", "negatywne", "porównanie", "do", "zwyczajnego", "wiaderka", "." ]
[ 2, 13, 10, 25, 4, 10, 25, 13, 25, 13, 10, 25, 13, 17 ]
620-3-010001449_morph_17919.1228530-s
[ "Boją", "się", ",", "aby", "ktoś", "nie", "chwycił", "pomysłu", "i", "nie", "kupując", "od", "nich", "wiaderka", "wykorzystał", "to", ",", "które", "ma", "w", "domu" ]
[ 32, 4, 17, 15, 13, 4, 24, 13, 34, 4, 1, 10, 3, 13, 24, 25, 17, 25, 32, 10, 13 ]
620-3-010001449_morph_1.51-s
[ "A", "cena", "jest", "zabójcza", "." ]
[ 34, 13, 32, 25, 17 ]
620-3-010001449_morph_1.68-s
[ "Podejrzewam", "że", "przy", "typowych", "kosztach", "produkcji", "takich", "wytłoczek", "plastikowych", "producent", "zarabia", "pewnie", "95", "-", "98", "%", "." ]
[ 32, 15, 10, 25, 13, 13, 25, 13, 25, 13, 32, 4, 6, 17, 6, 13, 17 ]
620-3-010001449_morph_17919.1228529-s
[ "I", "o", "to", "mu", "chodzi" ]
[ 34, 10, 13, 3, 32 ]
620-3-010001449_morph_2.9-s
[ "Naszego", "Piotrusia", "w", "zasadzie", "od", "początku", "fascynowały", "cienie", "." ]
[ 25, 13, 10, 13, 10, 13, 24, 13, 17 ]
620-3-010001449_morph_2.22-s
[ "Najpierw", "nasze", ",", "takie", "na", "ścianie", "od", "lampki", ",", "potem", "jego", "własny", "." ]
[ 0, 25, 17, 25, 10, 13, 10, 13, 17, 0, 3, 25, 17 ]
620-3-010001449_morph_2.27-s
[ "Nigdy", "się", "nie", "bał", "." ]
[ 0, 4, 4, 24, 17 ]
620-3-010001449_morph_2.39-s
[ "Teraz", "ma", "roczek", "i", "czasem", "bawimy", "sie", "w", "cienie", "na", "ścianie", "." ]
[ 0, 32, 13, 34, 13, 32, 4, 10, 13, 10, 13, 17 ]
620-3-010001449_morph_2.52-s
[ "Jemu", "to", "trochę", "śmiesznie", "i", "nieporadnie", "wychodzi", ",", "ale", "zabawa", "jest", "przednia", "." ]
[ 3, 13, 0, 0, 34, 0, 32, 17, 34, 13, 32, 25, 17 ]
620-3-010001449_morph_3.8-s
[ "[", "ciach", "całe", "mnóstwo", "niepotrzebnie", "zacytowanych", "linii", "]" ]
[ 17, 16, 25, 13, 0, 27, 13, 17 ]
620-3-010001449_morph_3.9-s
[ "słowem" ]
[ 13 ]
620-3-010001449_morph_3.14-s
[ "Zaparciem", "?", "!", "!", "!" ]
[ 13, 17, 17, 17, 17 ]
620-3-010001449_morph_3.23-s
[ "A", "prosiło", "się", "tyle", "razy", "ciąć", "cytaty", "." ]
[ 34, 24, 4, 6, 13, 11, 13, 17 ]
620-3-010001449_morph_3.30-s
[ "Dziwnie", "się", "czyta", "dyskusję", "reklamy", "-", "zaparcie", "-", "reklamy", "." ]
[ 0, 4, 32, 13, 13, 17, 13, 17, 13, 17 ]
620-3-010001449_morph_3.50-s
[ "Wiem", ",", "że", "na", "sam", "widok", "wielu", "reklam", "można", "dostać", "zatwardzenia", "(", "głównie", "mózgu", ")", ",", "ale", "bez", "przesady", "." ]
[ 32, 17, 15, 10, 25, 13, 6, 13, 7, 11, 13, 17, 4, 13, 17, 17, 34, 10, 13, 17 ]
620-3-010001449_morph_4.14-s
[ "Słuchajcie", "-", "w", "książce", "o", "kotach", "rasowych", "znalazła", "m", "kotka", "o", "identycznym", "umaszczeniu", "." ]
[ 2, 17, 10, 13, 10, 13, 25, 24, 22, 13, 10, 25, 13, 17 ]
620-3-010001449_morph_4.22-s
[ "Jego", "nazwa", "to", "KOT", "KRÓTKOWŁOSY", "BRYTYJSKI", "SZYLKTRETOWY", "." ]
[ 3, 13, 7, 13, 25, 25, 25, 17 ]
620-3-010001449_morph_4.37-s
[ "Piszą", "o", "nim", ",", "że", "jest", "to", "zwierze", "inteligentne", "o", "czułym", "i", "pogodnym", "usposobieniu", "." ]
[ 32, 10, 3, 17, 15, 32, 7, 13, 25, 10, 25, 34, 25, 13, 17 ]
620-3-010001449_morph_4.52-s
[ "Jest", "jedną", "z", "najdawniej", "uznanych", "kocich", "ras", "krótkowłosych", ",", "prezentowanych", "na", "pierwszych", "XIX-wiecznych", "wystawach", "." ]
[ 32, 25, 10, 0, 27, 25, 13, 25, 17, 27, 10, 25, 25, 13, 17 ]
620-3-010001449_morph_4.74-s
[ "Nie", "wiem", ",", "czy", "ta", "nasza", "kupka", "nieszczęścia", "jest", "rasowym", "kotkiem", ",", "ale", "wygląda", "identycznie", "jak", "ten", "ze", "zdjęcia", "w", "książce", "." ]
[ 4, 32, 17, 4, 25, 25, 13, 13, 32, 25, 13, 17, 34, 32, 0, 0, 25, 10, 13, 10, 13, 17 ]
620-3-010001449_morph_5.33-s
[ "Wiesz", ",", "w", "Gdyni", "w", "jednej", "aptece", "bez", "recepty", "dostanie", "się", "praktycznie", "wszystko", "(", "trzeba", "się", "tylko", "z", "Panią", "aptekarką", "odpowiednio", "wcześniej", "zaprzyjaźnić", ")", ",", "ale", "to", "przecież", "nie", "o", "to", "chodzi", "." ]
[ 32, 17, 10, 13, 10, 25, 13, 10, 13, 32, 4, 0, 13, 17, 7, 4, 4, 10, 13, 13, 0, 0, 11, 17, 17, 34, 4, 4, 4, 10, 13, 32, 17 ]
620-3-010001449_morph_5.57-s
[ "Jeśli", "coś", "jest", "na", "receptę", ",", "to", "nie", "dlatego", ",", "by", "utrudnić", "nam", "życie", ",", "ale", "żeby", "śmy", "go", "zbyt", "szybko", "nie", "zakończyli", "." ]
[ 15, 13, 32, 10, 13, 17, 34, 4, 0, 17, 15, 11, 28, 13, 17, 34, 15, 22, 3, 4, 0, 4, 24, 17 ]
620-3-010001449_morph_6.14-s
[ "Gdy", "Asiula", "ząbkowała", "używała", "m", "Dentinoxu", ",", "jest", "jeszcze", "inny", "środek", "-", "Calgel", "." ]
[ 0, 13, 24, 24, 22, 13, 17, 32, 4, 25, 13, 17, 13, 17 ]
620-3-010001449_morph_6.28-s
[ "Zarówno", "Julce", "jak", "i", "Asiuli", "podawała", "m", "Lek", "homeopatyczny", "z", "rumianku", "-", "Chmomilla", "." ]
[ 34, 13, 34, 34, 13, 24, 22, 13, 25, 10, 13, 17, 13, 17 ]
620-3-010001449_morph_6.34-s
[ "Jak", "ręką", "odjął", "!", "!", "!" ]
[ 0, 13, 24, 17, 17, 17 ]
620-3-010001449_morph_6.42-s
[ "Asiulę", "bolały", "chyba", "2", "zęby", "przy", "wyżynaniu", "." ]
[ 13, 24, 4, 6, 13, 10, 14, 17 ]
620-3-010001449_morph_6.49-s
[ "Julka", "źle", "przechodziła", "tzw", "podchodzenie", "ząbków", "." ]
[ 13, 0, 24, 23, 14, 13, 17 ]
620-3-010001449_morph_6.58-s
[ "Samo", "wyżynanie", "już", "spokojnie", "-", "ma", "teraz", "6", "." ]
[ 25, 14, 4, 0, 17, 32, 0, 6, 17 ]
620-3-010001449_morph_6.65-s
[ "Ostatnio", "przebiła", "się", "lewa", "górna", "2", "!" ]
[ 0, 24, 4, 25, 25, 13, 17 ]
120-2-900045_morph_1.16-s
[ "O", "opinię", "na", "temat", "konfliktu", "poprosili", "śmy", "niektóre", "z", "zaangażowanych", "w", "sprawę", "osób", "i", "instytucji", "." ]
[ 10, 13, 10, 13, 13, 24, 22, 25, 10, 27, 10, 13, 13, 34, 13, 17 ]
120-2-900045_morph_1.29-s
[ "Dyrektor", "szpitala", "nie", "staje", "po", "żadnej", "stronie", "i", "nie", "podejmuje", "żadnej", "decyzji", "." ]
[ 13, 13, 4, 32, 10, 25, 13, 34, 4, 32, 25, 13, 17 ]
120-2-900045_morph_1.55-s
[ "Twierdzi", ",", "że", "musi", "uzyskać", "dodatkowe", "opinie", ",", "m.in", ".", "prof", ".", "Janusza", "Jaśkiewicza", ",", "konsultanta", "regionalnego", "ds", ".", "chirurgii", "onkologicznej", "w", "Gdańsku", "." ]
[ 32, 17, 15, 32, 11, 25, 13, 17, 23, 17, 23, 17, 13, 13, 17, 13, 25, 23, 17, 13, 25, 10, 13, 17 ]
120-2-900045_morph_1.61-s
[ "My", "tę", "opinię", "już", "znamy", "." ]
[ 28, 25, 13, 4, 32, 17 ]
120-2-900045_morph_2.20-s
[ "W", "1987", "roku", "podczas", "mistrzostw", "we", "Włocławku", "Boratyńskiemu", "wpadł", "w", "oko", "siedemnastoletni", "wtedy", "pięściarz", "Stoczniowca", "Gdańsk", ",", "Dariusz", "Michalczewski", "." ]
[ 10, 25, 13, 10, 13, 10, 13, 13, 24, 10, 13, 25, 0, 13, 13, 13, 17, 13, 13, 17 ]
120-2-900045_morph_2.33-s
[ "Działacz", "ze", "Słupska", "miał", "w", "krajowym", "boksie", "opinię", "\"", "cesarza", "kidnaperów", "\"", "." ]
[ 13, 10, 13, 24, 10, 25, 13, 13, 17, 13, 13, 17, 17 ]
120-2-900045_morph_2.44-s
[ "-", "Dlatego", "nie", "mogł", "em", "rozmawiać", "z", "interesującymi", "mnie", "bokserami", "." ]
[ 17, 0, 4, 24, 22, 11, 10, 19, 28, 13, 17 ]
120-2-900045_morph_2.62-s
[ "Śledził", "em", "walki", ",", "a", "kartki", "z", "wybranymi", "nazwiskami", "przekazywał", "em", "dwu", "Krzysztofom", "Ignaczakowi", "i", "Degórskiemu", "." ]
[ 24, 22, 13, 17, 34, 13, 10, 27, 13, 24, 22, 6, 13, 13, 34, 13, 17 ]
120-2-900045_morph_2.74-s
[ "Oni", "nawiązywali", "kontakt", "z", "zawodnikami", ",", "umawiali", "spotkania", "w", "niekrępującym", "otoczeniu", "." ]
[ 3, 24, 13, 10, 13, 17, 24, 13, 10, 25, 13, 17 ]
120-2-900045_morph_2.86-s
[ "Z", "Darkiem", "wymienił", "em", "kilka", "słów", ",", "niebawem", "przyjechał", "do", "Słupska", "." ]
[ 10, 13, 24, 22, 6, 13, 17, 0, 24, 10, 13, 17 ]
120-2-900045_morph_3.22-s
[ "Najbardziej", "w", "pamięci", "utkwiło", "mi", "to", "między", "innymi", ",", "że", "w", "gmachu", "Urzędu", "Wojewódzkiego", "w", "Koszalinie", "były", "zawieszone", "piękne", "poroża", "jelenia", "." ]
[ 0, 10, 13, 24, 28, 13, 10, 25, 17, 15, 10, 13, 13, 25, 10, 13, 24, 27, 25, 13, 13, 17 ]
120-2-900045_morph_3.43-s
[ "Wisiały", "w", "korytarzach", ",", "pomiędzy", "drzwiami", "do", "poszczególnych", "pokoi", ",", "a", "u", "sufitu", "wisiały", "żyrandole", "zrobione", "z", "pojedynczych", "pięknych", "rogów", "." ]
[ 24, 10, 13, 17, 10, 13, 10, 25, 13, 17, 34, 10, 13, 24, 13, 27, 10, 25, 25, 13, 17 ]
120-2-900045_morph_3.53-s
[ "Te", "wszystkie", "rogi", "zostały", "zdemontowane", "i", "wywiezione", "do", "Szczecina", "." ]
[ 25, 25, 13, 24, 27, 34, 27, 10, 13, 17 ]
120-2-900045_morph_4.24-s
[ "Jeszcze", "do", "niedawna", ",", "zwłaszcza", "odwiedzający", "Kołobrzeg", "letnicy", "-", "mieszkańcy", "wielkich", "aglomeracji", "-", "głośno", "narzekali", "na", "brak", "nocnych", "atrakcji", "w", "największym", "nadbałtyckim", "kurorcie", "." ]
[ 4, 10, 5, 17, 4, 19, 13, 13, 17, 13, 25, 13, 17, 0, 24, 10, 13, 25, 13, 10, 25, 25, 13, 17 ]
120-2-900045_morph_4.35-s
[ "Z", "naszego", "rozeznania", "wynika", ",", "że", "sytuacja", "nieco", "się", "poprawiła", "." ]
[ 10, 25, 14, 32, 17, 15, 13, 0, 4, 24, 17 ]
120-2-900045_morph_4.55-s
[ "Ciągle", "jednak", "zdecydowana", "większość", "kawiarń", ",", "zwłaszcza", "w", "dni", "powszednie", ",", "praktykuje", "nieprzyjemny", "zwyczaj", "wypraszania", "ostatnich", "gości", "ostentacyjnym", "sprzątaniem", "." ]
[ 0, 34, 25, 13, 13, 17, 4, 10, 13, 25, 17, 32, 25, 13, 14, 25, 13, 25, 14, 17 ]
120-2-900045_morph_5.10-s
[ "\"", "Alkpol", "\"", "działał", "na", "rynku", "od", "1990", "r", "." ]
[ 17, 13, 17, 24, 10, 13, 10, 25, 23, 17 ]
120-2-900045_morph_5.24-s
[ "\"", "Współpraca", "z", "nami", "to", "strzał", "w", "dziesiątkę", "!", "\"", "ogłaszała", "się", "firma", "." ]
[ 17, 13, 10, 28, 7, 13, 10, 13, 17, 17, 24, 4, 13, 17 ]
120-2-900045_morph_5.32-s
[ "Najpierw", "prywatna", "hurtownia", "alkoholi", "zatrudniała", "trzy", "osoby", "." ]
[ 0, 25, 13, 13, 24, 6, 13, 17 ]
120-2-900045_morph_5.44-s
[ "Później", "jako", "spółka", "w", "Słupsku", "i", "20", "filiach", "-", "250", "pracowników", "." ]
[ 0, 34, 13, 10, 13, 34, 6, 13, 17, 6, 13, 17 ]
120-2-900045_morph_5.65-s
[ "W", "lutym", "ub", ".", "r", ".", "ogłoszono", "upadłość", "firmy", ",", "a", "kilka", "dni", "temu", "Temida", "rozprawiła", "się", "z", "oskarżonymi", "szefami", "." ]
[ 10, 13, 23, 17, 23, 17, 29, 13, 13, 17, 34, 6, 13, 10, 13, 24, 4, 10, 27, 13, 17 ]
120-2-900045_morph_6.9-s
[ "Jadwiga", "Melnyk", "przeszła", "w", "człuchowskim", "szpitalu", "dwa", "zabiegi", "." ]
[ 13, 13, 24, 10, 25, 13, 6, 13, 17 ]
120-2-900045_morph_6.18-s
[ "O", "drugim", "mówi", ",", "że", "to", "była", "poprawka", "." ]
[ 10, 25, 32, 17, 15, 7, 24, 13, 17 ]
120-2-900045_morph_6.30-s
[ "Zastanawia", "się", "tylko", ",", "dlaczego", "leżała", "pod", "narkozą", "aż", "trzy", "godziny", "." ]
[ 32, 4, 4, 17, 0, 24, 10, 13, 4, 6, 13, 17 ]
120-2-900045_morph_6.41-s
[ "Twierdzi", ",", "że", "po", "operacjach", "jej", "pęcherz", "przypomina", "piłkę", "futbolową", "." ]
[ 32, 17, 15, 10, 13, 3, 13, 32, 13, 25, 17 ]
120-2-900045_morph_6.45-s
[ "Tak", "jest", "pozszywany", "." ]
[ 0, 32, 27, 17 ]
120-2-900045_morph_6.54-s
[ "Zapowiada", ",", "że", "będzie", "żądać", "od", "szpitala", "odszkodowania", "." ]
[ 32, 17, 15, 8, 11, 10, 13, 13, 17 ]
120-2-900045_morph_6.58-s
[ "Tak", "jak", "Jodłowscy", "." ]
[ 0, 0, 13, 17 ]
120-2-900045_morph_6.62-s
[ "To", "jest", "koszmar", "!" ]
[ 7, 32, 13, 17 ]
120-2-900045_morph_7.14-s
[ "Przed", "tygodniem", "wicestarosta", "Hrycyna", "podczas", "wyjazdu", "do", "Gdańska", "uzyskał", "przychylność", "tamtejszych", "środowisk", "żydowskich", "." ]
[ 10, 13, 13, 13, 10, 13, 10, 13, 24, 13, 25, 13, 25, 17 ]
120-2-900045_morph_7.43-s
[ "-", "Wiceszef", "gminy", "żydowskiej", "obiecał", ",", "że", "rabin", "wraz", "z", "Fundacją", "Ochrony", "Dziedzictwa", "Żydowskiego", "prześlą", "pismo", "o", "akceptacji", "budowy", ",", "jeśli", "teren", "cmentarza", "pozostanie", "nietknięty", "-", "mówi", "wicestarosta", "." ]
[ 17, 13, 13, 25, 24, 17, 15, 13, 0, 10, 13, 13, 13, 25, 32, 13, 10, 13, 13, 17, 15, 13, 13, 32, 25, 9, 32, 13, 17 ]
120-2-900045_morph_7.55-s
[ "Do", "minionej", "środy", "takie", "pismo", "do", "starostwa", "w", "Bytowie", "nie", "nadeszło", "." ]
[ 10, 25, 13, 25, 13, 10, 13, 10, 13, 4, 24, 17 ]
120-2-900045_morph_8.39-s
[ "Wkrótce", "potem", "do", "ratusza", "w", "Bytowie", "doszło", "z", "Warszawy", "pismo", "rabina", "Michaela", "Schudricha", ",", "pełnomocnika", "Komisji", "Rabinackiej", "do", "spraw", "cmentarzy", ",", "żądające", "zapewnienia", ",", "że", "na", "terenie", "cmentarza", "nie", "będą", "podejmowane", "żadne", "działania", "wbrew", "religii", "i", "tradycji", "żydowskiej", "." ]
[ 0, 0, 10, 13, 10, 13, 24, 10, 13, 13, 13, 13, 13, 17, 13, 13, 25, 10, 13, 13, 17, 19, 14, 17, 15, 10, 13, 13, 4, 8, 27, 25, 13, 10, 13, 34, 13, 25, 17 ]
120-2-900045_morph_8.54-s
[ "Kopię", "tego", "wystąpienia", "otrzymało", "polskie", "MSZ", "oraz", "Lech", "Nikolski", ",", "szef", "gabinetu", "politycznego", "premiera", "." ]
[ 13, 25, 13, 24, 25, 13, 34, 13, 13, 17, 13, 13, 25, 13, 17 ]
120-2-900045_morph_8.70-s
[ "Niebawem", "w", "Bytowie", "pojawił", "się", "wysłannik", "Urzędu", "Wojewódzkiego", "z", "Gdańska", ",", "mający", "wyjaśnić", "sprawę", "cmentarza", "." ]
[ 0, 10, 13, 24, 4, 13, 13, 25, 10, 13, 17, 19, 11, 13, 13, 17 ]
120-2-900045_morph_9.10-s
[ "Nie", "wszystkie", "podwładne", "ordynatora", "Stojceva", "zaangażowały", "się", "w", "konflikt", "." ]
[ 4, 25, 13, 13, 13, 24, 4, 10, 13, 17 ]
120-2-900045_morph_9.20-s
[ "Oddziałowa", "Wioletta", "Barańska", "współpracę", "z", "ordynatorem", "ocenia", "zupełnie", "inaczej", "." ]
[ 13, 13, 13, 13, 10, 13, 32, 0, 0, 17 ]
120-2-900045_morph_9.29-s
[ "-", "Moja", "współpraca", "z", "szefem", "układa", "się", "świetnie", "." ]
[ 17, 25, 13, 10, 13, 32, 4, 0, 17 ]
120-2-900045_morph_9.52-s
[ "Pracuję", "z", "nim", "od", "pięciu", "lat", ",", "wcześniej", "jako", "instrumentariuszka", "i", "dlatego", "wiem", ",", "jak", "stresujący", "dla", "chirurga", "może", "być", "ciężki", "zabieg", "." ]
[ 32, 10, 3, 10, 6, 13, 17, 0, 34, 13, 34, 0, 32, 17, 0, 19, 10, 13, 32, 11, 25, 13, 17 ]
120-2-900045_morph_9.70-s
[ "Jednak", "przez", "ten", "czas", "nigdy", "nie", "była", "m", "świadkiem", "scysji", "z", "pielęgniarkami", "-", "mówi", "W", ".", "Barańska", "." ]
[ 34, 10, 25, 13, 0, 4, 24, 22, 13, 13, 10, 13, 17, 32, 23, 17, 13, 17 ]
130-5-000001505_morph_1.16-s
[ "Do", "ostatniego", "samochodu", "stojącego", "na", "postoju", "taksówek", "w", "Kartuzach", "w", "sobotni", "wieczór", "wsiadło", "trzech", "mężczyzn", "." ]
[ 10, 25, 13, 19, 10, 13, 13, 10, 13, 10, 25, 13, 24, 6, 13, 17 ]
130-5-000001505_morph_1.24-s
[ "Zaoferowali", "50", "zł", "za", "kurs", "do", "Miszewa", "." ]
[ 24, 6, 23, 10, 13, 10, 13, 17 ]
130-5-000001505_morph_1.31-s
[ "Na", "trasie", "zatrzymali", "samochód", "w", "lesie", "." ]
[ 10, 13, 24, 13, 10, 13, 17 ]
130-5-000001505_morph_1.43-s
[ "Osoby", "siedzące", "z", "tyłu", "zaatakowały", "kierowcę", "przystawiając", "mu", "nóż", "do", "gardła", "." ]
[ 13, 19, 10, 13, 24, 13, 1, 3, 13, 10, 13, 17 ]
130-5-000001505_morph_1.54-s
[ "Następnie", "napastnicy", "wyciągnęli", "taksówkarza", "z", "samochodu", ",", "pobili", "i", "odjechali", "." ]
[ 0, 13, 24, 13, 10, 13, 17, 24, 34, 24, 17 ]
130-5-000000060_morph_1.8-s
[ "Obie", "strony", "używają", "broni", "maszynowej", "i", "moździerzy", "." ]
[ 6, 13, 32, 13, 25, 34, 13, 17 ]
130-5-000000060_morph_1.19-s
[ "Nad", "miastem", "latały", "amerykańskie", "samoloty", "bojowe", ",", "ale", "nie", "interweniowały", "." ]
[ 10, 13, 24, 25, 13, 25, 17, 34, 4, 24, 17 ]
130-5-000000060_morph_1.40-s
[ "W", "górach", "prowincji", "Paktia", ",", "której", "stolicą", "jest", "Gardez", ",", "Amerykanie", "próbują", "zniszczyć", "ostatnie", "ogniska", "oporu", "Bazy", "Osamy", "ben", "Ladena", "." ]
[ 10, 13, 13, 13, 17, 25, 13, 32, 13, 17, 13, 32, 11, 25, 13, 13, 13, 13, 13, 13, 17 ]
130-5-000000060_morph_1.64-s
[ "Walki", "pomiędzy", "ludźmi", "lokalnego", "watażki", "Pad", "Szaha", "Chana", ",", "lojalnego", "wobec", "tymczasowego", "rządu", "Hamida", "Karzaja", ",", "i", "uzbrojonymi", "zwolennikami", "szury", "wybuchły", "w", "środę", "." ]
[ 13, 10, 13, 25, 13, 13, 13, 13, 17, 25, 10, 25, 13, 13, 13, 17, 34, 27, 13, 13, 24, 10, 13, 17 ]
130-5-000000494_morph_1.18-s
[ "Prezesi", "łódzkich", "spółek", ",", "w", "których", "udziały", "ma", "gmina", "Łódź", ",", "od", "nowego", "roku", "będą", "zarabiać", "mniej", "." ]
[ 13, 25, 13, 17, 10, 25, 13, 32, 13, 13, 17, 10, 25, 13, 8, 11, 0, 17 ]
130-5-000000494_morph_1.30-s
[ "Niższe", "pensje", "odbiorą", "w", "kasie", "również", "pozostali", "członkowie", "zarządu", "tych", "firm", "." ]
[ 25, 13, 32, 10, 13, 4, 25, 13, 13, 25, 13, 17 ]
130-5-000000494_morph_1.51-s
[ "Decyzję", "o", "cięciach", "podjął", "prezydent", "Jerzy", "Kropiwnicki", ",", "by", "odciążyć", "budżet", "miasta", "i", "w", "ten", "sposób", "zaoszczędzić", "na", "wydatkach", "stałych", "." ]
[ 13, 10, 13, 24, 13, 13, 25, 17, 15, 11, 13, 13, 34, 10, 25, 13, 11, 10, 13, 25, 17 ]
130-5-000001187_morph_1.9-s
[ "W", "tym", "działaniu", "nie", "było", "ani", "odrobiny", "przypadku", "." ]
[ 10, 25, 13, 4, 24, 4, 13, 13, 17 ]
130-5-000001187_morph_1.34-s
[ "Z", "dwóch", "olbrzymich", "ciężarówek", ",", "które", "wiozły", "setki", "tysięcy", "wyprodukowanych", "w", "Augustowie", "sobieskich", ",", "mew", "oraz", "innych", "papierosów", ",", "jedna", "została", "porwana", "w", "Lublinie", "." ]
[ 10, 6, 25, 13, 17, 25, 24, 13, 13, 27, 10, 13, 13, 17, 13, 34, 25, 13, 17, 25, 24, 27, 10, 13, 17 ]
130-5-000001187_morph_1.46-s
[ "Drugiej", ",", "rozładowanej", "do", "połowy", "w", "Pruszkowie", ",", "rabusie", "nie", "tknęli", "." ]
[ 25, 17, 27, 10, 13, 10, 13, 17, 13, 4, 24, 17 ]
130-5-000001187_morph_1.69-s
[ "Precyzyjnie", "przygotowany", "napad", "miał", "miejsce", "we", "wtorek", "rano", "ok", ".", "godz", ".", "4", "na", "strzeżonym", "placu", "przy", "ul", ".", "Inżynierskiej", "w", "Lublinie", "." ]
[ 0, 27, 13, 24, 13, 10, 13, 0, 23, 17, 23, 17, 25, 10, 27, 13, 10, 23, 17, 25, 10, 13, 17 ]
forumowisko.pl_424_morph_1.5-s
[ "No", "tak", ",", "wiem", "." ]
[ 4, 4, 17, 32, 17 ]
forumowisko.pl_424_morph_1.23-s
[ "Ale", "niestety", "wyobraźnia", "działa", "i", "już", "powoli", "wyobrażała", "m", "sobie", "siebie", "z", "wózkiem", "za", "9", "miesięcy", ".", "." ]
[ 34, 4, 13, 32, 34, 4, 0, 24, 22, 21, 21, 10, 13, 10, 6, 13, 17, 17 ]
forumowisko.pl_424_morph_1.28-s
[ "No", "zobaczę", "w", "poniedziałek", "." ]
[ 4, 32, 10, 13, 17 ]
forumowisko.pl_424_morph_17385.1228290-s
[ "I", "choć", "nikogo", "to", "pewnie", "nie", "zainteresuje", "to", "napiszę", "tutaj", "co", "to", "było" ]
[ 34, 15, 13, 13, 4, 4, 32, 34, 32, 0, 13, 7, 24 ]
forumowisko.pl_424_morph_1.47-s
[ "Dziękuję", "za", "pomoc", "." ]
[ 32, 10, 13, 17 ]
forumowisko.pl_424_morph_17385.1228289-s
[ "Bo", "się", "na", "prawdę", "przydała", "i", "jak", "pomyślała", "m", "że", "jednak", "to", "może", "nie", "jest", "ciąża", "to", "i", "nudności", "nie", "ma", ";)" ]
[ 15, 4, 10, 13, 24, 34, 0, 24, 22, 15, 34, 7, 4, 4, 32, 13, 34, 4, 13, 4, 32, 13 ]
forumowisko.pl_424_morph_2.8-s
[ "Dzień", "który", "opisał", "eś", "jest", "teoretycznie", "niepłodny", "." ]
[ 13, 25, 24, 22, 32, 0, 25, 17 ]
forumowisko.pl_424_morph_2.18-s
[ "W", "dodatku", "śluz", "który", "obserwujesz", "to", "naturalna", "wydzielina", "kobiety", "." ]
[ 10, 13, 13, 25, 32, 7, 25, 13, 13, 17 ]
forumowisko.pl_424_morph_2.52-s
[ "Jeżeli", "zakończyli", "ście", "sprawę", "prawidłowo", "-", "nie", "powinno", "się", "zbyt", "późno", "wychodzić", ",", "podczas", "wysunięcia", "przytrzymać", "prezerwatywę", ",", "a", "do", "tego", "gumka", "miała", "środek", "plemnikobujczy", ",", "to", "naprawdę", "nie", "ma", "powodu", "do", "obaw", "." ]
[ 15, 24, 22, 13, 0, 17, 4, 31, 4, 4, 0, 11, 17, 10, 14, 11, 13, 17, 34, 10, 13, 13, 24, 13, 25, 17, 34, 4, 4, 32, 13, 10, 13, 17 ]
forumowisko.pl_424_morph_2.58-s
[ "Nawet", "jak", "doszło", "do", "wytrysku", "." ]
[ 4, 0, 24, 10, 13, 17 ]
End of preview (truncated to 100 rows)

nkjp-pos

Description

NKJP-POS is a part the National Corpus of Polish (Narodowy Korpus Języka Polskiego). Its objective is part-of-speech tagging, e.g. nouns, verbs, adjectives, adverbs, etc. During the creation of corpus, texts of were annotated by humans from various sources, covering many domains and genres.

Tasks (input, output and metrics)

Part-of-speech tagging (POS tagging) - tagging words in text with their corresponding part of speech.

Input ('tokens' column): sequence of tokens

Output ('pos_tags' column): sequence of predicted tokens’ classes (35 possible classes, described in detail in the annotation guidelines)

example:

['Najwyraźniej', 'źle', 'ocenił', 'odległość', ',', 'bo', 'zderzył', 'się', 'z', 'jadącą', 'z', 'naprzeciwka', 'ciężarową', 'scanią', '.'] → ['qub', 'adv', 'praet', 'subst', 'interp', 'comp', 'praet', 'qub', 'prep', 'pact', 'prep', 'burk', 'adj', 'subst', 'interp']

Measurements:

Data splits

Subset Cardinality (sentences)
train 78219
test 7444

Class distribution in train

Class Fraction of tokens
subst 0.27345
interp 0.18101
adj 0.10611
prep 0.09567
qub 0.05670
fin 0.04939
praet 0.04409
conj 0.03711
adv 0.03512
inf 0.01591
comp 0.01476
num 0.01322
ppron3 0.01111
ppas 0.01086
ger 0.00961
brev 0.00856
ppron12 0.00670
aglt 0.00629
pred 0.00539
pact 0.00454
bedzie 0.00229
pcon 0.00218
impt 0.00203
siebie 0.00177
imps 0.00174
interj 0.00131
xxx 0.00070
adjp 0.00069
winien 0.00068
adja 0.00048
pant 0.00012
burk 0.00011
numcol 0.00011
depr 0.00010
adjc 0.00007

Citation

@book{przepiorkowski_narodowy_2012,
title = {Narodowy korpus języka polskiego},
isbn = {978-83-01-16700-4},
language = {pl},
publisher = {Wydawnictwo Naukowe PWN},
editor = {Przepiórkowski, Adam and Bańko, Mirosław and Górski, Rafał L. and Lewandowska-Tomaszczyk, Barbara},
year = {2012}
}

License

GNU GPL v.3

Links

HuggingFace

Source

Paper

Examples

Loading

from pprint import pprint

from datasets import load_dataset

dataset = load_dataset("clarin-pl/nkjp-pos")
pprint(dataset['train'][5000])

# {'id': '130-2-900005_morph_49.49-s',
#  'pos_tags': [16, 4, 3, 30, 12, 18, 3, 16, 14, 6, 14, 26, 1, 30, 12],
#  'tokens': ['Najwyraźniej',
#             'źle',
#             'ocenił',
#             'odległość',
#             ',',
#             'bo',
#             'zderzył',
#             'się',
#             'z',
#             'jadącą',
#             'z',
#             'naprzeciwka',
#             'ciężarową',
#             'scanią',
#             '.']}

Evaluation

import random
from pprint import pprint

from datasets import load_dataset, load_metric

dataset = load_dataset("clarin-pl/nkjp-pos")
references = dataset["test"]["pos_tags"]

# generate random predictions
predictions = [
    [
        random.randrange(dataset["train"].features["pos_tags"].feature.num_classes)
        for _ in range(len(labels))
    ]
    for labels in references
]

# transform to original names of labels
references_named = [
    [dataset["train"].features["pos_tags"].feature.names[label] for label in labels]
    for labels in references
]
predictions_named = [
    [dataset["train"].features["pos_tags"].feature.names[label] for label in labels]
    for labels in predictions
]

# transform to BILOU scheme
references_named = [
    [f"U-{label}" if label != "O" else label for label in labels]
    for labels in references_named
]
predictions_named = [
    [f"U-{label}" if label != "O" else label for label in labels]
    for labels in predictions_named
]

# utilise seqeval to evaluate
seqeval = load_metric("seqeval")
seqeval_score = seqeval.compute(
    predictions=predictions_named,
    references=references_named,
    scheme="BILOU",
    mode="strict",
)

pprint(seqeval_score, depth=1)

# {'adj': {...},
#  'adja': {...},
#  'adjc': {...},
#  'adjp': {...},
#  'adv': {...},
#  'aglt': {...},
#  'bedzie': {...},
#  'brev': {...},
#  'burk': {...},
#  'comp': {...},
#  'conj': {...},
#  'depr': {...},
#  'fin': {...},
#  'ger': {...},
#  'imps': {...},
#  'impt': {...},
#  'inf': {...},
#  'interj': {...},
#  'interp': {...},
#  'num': {...},
#  'numcol': {...},
#  'overall_accuracy': 0.027855061488566583,
#  'overall_f1': 0.027855061488566583,
#  'overall_precision': 0.027855061488566583,
#  'overall_recall': 0.027855061488566583,
#  'pact': {...},
#  'pant': {...},
#  'pcon': {...},
#  'ppas': {...},
#  'ppron12': {...},
#  'ppron3': {...},
#  'praet': {...},
#  'pred': {...},
#  'prep': {...},
#  'qub': {...},
#  'siebie': {...},
#  'subst': {...},
#  'winien': {...},
#  'xxx': {...}}
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