Datasets:

ScoutieAutoML
/

scoutieDataset_english_russian_dictionary_grammar_spelling_vectorized

taskId int64 120 120	title float64	text stringlengths 1 4.09k	url stringlengths 40 62	sourceLink stringclasses 1 value	subSourceLink stringclasses 10 values	views int64 17 463k	createTime int64 1.51B 1.74B	crawlTime int64 1.74B 1.74B	clusterId int64 0 8.51k	vector stringlengths 9.22k 9.71k ⌀	ners stringlengths 65 12k ⌀	sentiment stringclasses 3 values	language stringclasses 3 values	spam stringclasses 2 values	length int64 1 811	swearWordsCount int64 0 7	capslockWordsCount int64 0 109	ru float64 0 1	eng float64 0 1	other float64 0 0.14	adj int64 0 177	verb int64 0 144	pron int64 0 80	num int64 0 164	noun int64 0 175	adv int64 0 93	punc int64 0 382	markedUp bool 1 class
120	null	🔵 Короткиe фразы для быстрого отвeта • Catch me later — Поговорим потом • Clear the way! — Освободитe дорогу! Дайтe пройти! • Come back anytime — Приходитe в любоe врeмя, мы будeм рады • Come right in — Заходитe, вам здeсь рады • Could I call you? — Сeйчас я занят, можно пeрeзвоню позжe? • Could I join you? — Pазрeшит...	https://t.me/BeginEN/106?embed=1&mode=tme	https://t.me/	https://t.me/s/BeginEN	1,900	1,720,870,931	1,736,461,166	1,955	[-0.047835346,-0.030640488,0.00065121683,-0.050834835,0.017971445,0.029040724,0.013217194,-0.0053491187,-0.035570145,-0.019110156,0.02104349,-0.045592356,-0.028009301,0.043329183,0.020135952,-0.027334081,0.025629625,0.013180928,-0.030784087,-0.05649639,-0.0034486514,-0.0029983316,-0.027904484,0.07044934,-0.047273446,-0...	[{"ner":"Заходитe","lemma":"заходитe","label":"PER","start_pos":203,"end_pos":211}]	POSITIVE	other	NOT SPAM	178	0	8	0.758197	0.241803	0	3	19	13	0	18	6	51	true
120	null	Свистать всех наверх! Этим выпуском мы возобновляем формат нашего подкаста, в рамках которого будем периодически приглашать студентов BigAppleSchool делиться информацией о своей жизни, профессии или каком-то необычном опыте на английском языке. 🚢 И в этом эпизоде у нас в гостях настоящий капитан трансатлантического ко...	https://t.me/BigAppleSchool/3086?embed=1&mode=tme	https://t.me/	https://t.me/s/BigAppleSchool	2,000	1,734,079,496	1,736,461,166	1,959	[-0.03885772,-0.06409194,-0.022968326,-0.049329866,0.027944233,0.030150916,-0.03663742,-0.0068665524,0.00484883,-0.05594491,-0.008396135,-0.0073772916,-0.062112663,-0.06679204,0.015301645,-0.00621166,-0.015060031,-0.06553541,-0.006264907,0.019123128,0.018340966,-0.02351008,0.025543394,0.021938315,-0.010700562,-0.012493...	[{"ner":"Георгий Гридасов","lemma":"георгий гридасов","label":"PER","start_pos":327,"end_pos":343}]	NEUTRAL	rus	NOT SPAM	112	0	3	0.992857	0.007143	0	8	19	19	0	21	7	19	true
120	null	👨‍👩‍👧‍👦 Что может быть важнее семьи? Вот именно, ничего, поэтому каждый должен знать как «называются» его родственники « 👍 » — если было полезно Английский с нуля	https://t.me/EnglishBestChannel/13896?embed=1&mode=tme	https://t.me/	https://t.me/s/EnglishBestChannel	6,400	1,736,407,022	1,736,461,166	1,955	[-0.022150524,-0.04978129,0.005175799,0.006511328,0.015738472,-0.054008555,-0.07619342,-0.027067527,0.02097996,-0.04941622,0.011598828,-0.031395823,-0.011075038,-0.04640019,-0.03843318,-0.031534567,0.004530766,0.0200645,-0.029988833,0.039615467,0.016379412,-0.05466246,-0.031218968,-0.04036202,0.0054920167,-0.04525338,0...	null	NEUTRAL	rus	NOT SPAM	27	0	0	1	0	0	4	3	3	0	6	1	10	true
120	null	⚠️ Народ, это must have! Эти 10 словосочетаний должен знать каждый: ➖ as usual — «как обычно» ➖ by the way — «кстати» ➖ for real — «всерьёз, на самом деле» ➖ in spite of — «несмотря на» ➖ just in case — «на всякий случай» ➖ on the other hand — «с другой стороны» ➖ so that — «так, чтобы» ➖ such as — «такой как» ➖ in ord...	https://t.me/EnglishBestChannel/13898?embed=1&mode=tme	https://t.me/	https://t.me/s/EnglishBestChannel	4,000	1,736,436,550	1,736,461,166	1,979	[-0.03303817,-0.06620542,0.0026070944,-0.03334771,0.03429433,-0.05634197,-0.008695193,-0.025861137,-0.071519375,-0.0025153505,-0.03519923,-0.030044956,-0.058268405,0.024788614,-0.0442672,-0.013395788,0.029701296,-0.0020804515,0.011153059,0.03016345,-0.03471072,-0.025909984,-0.006656054,0.007839199,-0.025264204,0.015548...	[{"ner":"10","lemma":"10","label":"NUM","start_pos":29,"end_pos":31}]	NEUTRAL	other	NOT SPAM	85	0	0	0.818182	0.181818	0	5	1	2	1	6	4	38	true
120	null	nurse медсестра, няня, сиделка 🔈 Произношение в комментах 👉	https://t.me/EnglishFromScratch5000Words/3804?embed=1&mode=tme	https://t.me/	https://t.me/s/EnglishFromScratch5000Words	25	1,736,436,622	1,736,461,166	1,958	[0.004287658,0.0228439,-0.00046814966,-0.050861936,-0.039847363,0.057734333,-0.06793662,-0.03842017,0.051238474,0.0019160351,0.0013586342,0.010183243,0.04418556,-0.034426007,0.027386624,-0.049358025,-0.0018762755,0.01411858,0.048513755,0.049492557,-0.007202085,-0.007856845,0.039073378,0.00078895054,-0.012924334,-0.0242...	[{"ner":"nurse\nмедсестра","lemma":"nurse\nмедсестра","label":"ORG","start_pos":0,"end_pos":15},{"ner":"Произношение","lemma":"Произношение","label":"PRODUCT","start_pos":33,"end_pos":45}]	NEUTRAL	rus	NOT SPAM	9	0	0	0.933333	0.066667	0	0	0	0	0	6	0	2	true
120	null	🌇 Повторчик на сон грядущий: 👉 tag — метка, тег, ценник, признак 👉 subtle — тонкий, хитрый, утонченный, неуловимый 👉 nurse — медсестра, няня, сиделка	https://t.me/EnglishFromScratch5000Words/3805?embed=1&mode=tme	https://t.me/	https://t.me/s/EnglishFromScratch5000Words	17	1,736,445,620	1,736,461,166	1,955	[-0.029076107,0.032387353,0.037130523,-0.018588688,-0.047585495,0.054441653,-0.035069518,-0.008437506,0.020977069,-0.029393293,-0.030848086,-0.025710784,-0.058060307,-0.02703694,0.0024817009,-0.0066206446,0.052921195,0.0034673722,0.04150843,0.027093444,-0.031117417,-0.035125617,0.009111094,0.00285739,0.003912054,-0.073...	null	NEUTRAL	rus	NOT SPAM	25	0	0	0.93617	0.06383	0	4	1	0	0	11	0	12	true
120	null	Значение приставок over- и under- Приставки over- и under- в английском языке добавляют значение переоценки или недооценки действия, количества или качества. 📌 Приставка over-: Чрезмерность или избыток: Overdo — перестараться, делать что-то чрезмерно Overwork — переутомляться Поверх чего-то: Overlook — не заметить, уп...	https://t.me/UchuEnglish/5624?embed=1&mode=tme	https://t.me/	https://t.me/s/UchuEnglish	651	1,736,406,091	1,736,461,166	1,955	[-0.06928994,0.022982404,0.004788192,0.038811583,-0.02029634,-0.03361942,-0.05265534,-0.008600843,-0.05514426,-0.000012838724,-0.06987377,-0.03902892,-0.009479414,-0.058589075,-0.013938872,-0.069408864,0.028860405,0.014073259,-0.0043382575,0.026179094,-0.035107587,-0.049861062,-0.06361176,0.044319734,-0.021577895,-0.02...	[{"ner":"Overdo","lemma":"overdo","label":"ORG","start_pos":203,"end_pos":209},{"ner":"Overwork","lemma":"overwork","label":"ORG","start_pos":251,"end_pos":259},{"ner":"Overlook","lemma":"overlook","label":"ORG","start_pos":293,"end_pos":301},{"ner":"Undercook","lemma":"undercook","label":"ORG","start_pos":567,"end_pos...	NEUTRAL	rus	NOT SPAM	101	0	0	0.890909	0.109091	0	4	16	12	1	25	3	34	true
120	null	Полезное выражение на английском языке 🇬🇧 🇬🇧 Get (something) out of one's system - Не думать / забыть про что-то / Выкинуть что-то из головы - That’s right, get it out of your system while we're alone. - Правильно, выкинь это из головы , пока мы одни.	https://t.me/UchuEnglish/5625?embed=1&mode=tme	https://t.me/	https://t.me/s/UchuEnglish	470	1,736,434,954	1,736,461,166	1,956	[-0.011566597,-0.048466653,-0.025291309,-0.047075145,0.04103491,-0.020722624,-0.054257736,-0.029569335,-0.052264564,-0.039266866,-0.008188371,-0.064565204,0.03848591,-0.022713477,-0.03011512,-0.03459615,0.07691844,0.027813403,-0.0016910749,0.03625458,-0.01397869,0.009103333,-0.05199026,0.023003053,-0.03332459,-0.019271...	null	NEUTRAL	other	NOT SPAM	47	0	0	0.739726	0.260274	0	4	3	8	3	5	0	9	true
120	null	Самые популярные нецензурные выражения Fck! – Чёрт подери! Fck it! – К чёрту! Не надо! Забей! Не обращай внимания! Fck it! – Проклятье! (Выражение испуга или удивления) Fck [something] – К чёрту [нечто]! Fck this place! Fck it all! – К чёрту всё! Или вот так: Fck them all! – Пошли они все! Fck the world! – Пров...	https://t.me/angliyskiy_english/3261?embed=1&mode=tme	https://t.me/	https://t.me/s/angliyskiy_english	923	1,736,229,606	1,736,461,166	1,955	[0.041514147,-0.045877177,-0.050304692,-0.059797015,0.029225964,0.01241987,-0.021001667,-0.025429904,-0.07639196,-0.013394223,-0.002037027,-0.041241158,-0.0767428,0.029055199,-0.03068976,-0.0025063297,0.05831847,0.009594646,0.035020985,0.015915945,-0.016331388,-0.04066935,-0.04040147,0.018873911,0.03528899,-0.049789306...	[{"ner":"the fck","lemma":"the fck","label":"ORG","start_pos":482,"end_pos":490},{"ner":"where","lemma":"where","label":"ORG","start_pos":1873,"end_pos":1878},{"ner":"what","lemma":"what","label":"ORG","start_pos":1880,"end_pos":1884}]	NEUTRAL	other	NOT SPAM	315	1	9	0.739819	0.260181	0	20	46	26	0	30	9	118	true
120	null	Немного слов на тему "Медицина": лекарство - medicine капсула - capsule таблетка - tablet пилюля - pill инъекция - injection мазь - ointment постельный отдых - bed rest хирургия - surgery грелка - heating pad грелка со льдом - de hielo ice pack перевязь, повязка - sling гипс - cast костыль - crutch доктор - doctor медс...	https://t.me/angliyskiy_english/3262?embed=1&mode=tme	https://t.me/	https://t.me/s/angliyskiy_english	843	1,736,316,020	1,736,461,166	1,955	[0.02633119,0.006966505,0.038537107,-0.029911142,-0.016138315,-0.0010103306,-0.07179232,-0.057184942,-0.03741635,0.04066767,0.034242555,0.024932114,-0.015671844,-0.039090578,0.012211037,-0.0051947637,0.052931394,0.05008333,0.030699598,0.032414213,-0.01463135,-0.066998765,-0.006909571,-0.037066087,-0.02394847,0.02509263...	null	NEUTRAL	other	NOT SPAM	96	0	0	0.740158	0.259843	0	3	0	0	0	51	1	6	true
120	null	Мне 31 _______ _	https://t.me/english2020easy/10339?embed=1&mode=tme	https://t.me/	https://t.me/s/english2020easy	13,300	1,736,413,204	1,736,461,166	1,955	[-0.0480416,-0.012966763,-0.017465575,-0.050653853,-0.0043995082,0.02669591,0.05412583,-0.045016978,-0.06326943,-0.05433362,-0.04308694,0.011716842,0.021795627,-0.021412637,-0.016988168,-0.046212435,-0.059230268,-0.047738213,-0.04066,-0.04431415,-0.00007941754,-0.05311723,0.023997912,-0.017624004,-0.058573198,-0.003505...	[{"ner":"31","lemma":"31","label":"NUM","start_pos":4,"end_pos":6}]	NEUTRAL	rus	NOT SPAM	4	0	0	1	0	0	0	0	1	1	0	0	8	true
120	null	Чувства на английском языке • Sense [sen(t)s] - Чувство • Taste [teɪst] - Вкус • Sight [saɪt] - Зрение • Smell [smel] - Обоняние • Touch [tʌʧ] - Осязание • Hearing [ˈhɪərɪŋ] - Слух • Glimpse [glɪmps] - Беглый взгляд • Scan [skæn] - Высматривать • See [siː] - Видеть • Notice [ˈnəʊtɪs] - Замечать • Glance [glɑːns] - Мель...	https://t.me/english2020easy/10340?embed=1&mode=tme	https://t.me/	https://t.me/s/english2020easy	10,900	1,736,420,420	1,736,461,166	1,957	[-0.054907225,0.040839624,-0.03843234,-0.05367564,0.004084249,-0.021466045,0.021535829,-0.024111647,-0.06379765,0.03123203,-0.04722813,0.014829004,-0.039018173,0.014738942,-0.04580169,-0.049741644,0.038903244,-0.05651175,0.025246752,-0.016240506,-0.022091938,-0.05897407,-0.014233301,-0.015597371,-0.05897075,-0.05209749...	[{"ner":"ˈhɪərɪŋ] - Слух\n•\nGlimpse\n[glɪmps] - Беглый взгляд\n•\nScan\n[skæn] - Высматривать\n•\nSee\n[siː] - Видеть\n•\nNotice\n","lemma":"ˈhɪərɪŋ] - слух\n•\nglimpse\n[glɪmps] - беглый взгляд\n•\nscan\n[skæn] - высматривать\n•\nsee\n[siː] - видеть\n•\nnotice","label":"PER","start_pos":165,"end_pos":275},{"ner":"202...	NEUTRAL	other	NOT SPAM	104	0	0	0.805	0.155	0.04	3	11	0	1	7	2	55	true
120	null	🟡 I’m feeling a bit under the weather today. Сегодня я чувствую себя немного неважно. 🟡 He stayed home because he was under the weather. Он остался дома, потому что плохо себя чувствовал. 🟡 If you’re under the weather, you should get some rest. Если ты плохо себя чувствуешь, тебе стоит отдохнуть. #idioms	https://t.me/speakengly/3688?embed=1&mode=tme	https://t.me/	https://t.me/s/speakengly	1,200	1,736,352,178	1,736,461,166	1,955	[-0.08187675,-0.017458372,-0.050116833,-0.07591682,-0.019727426,-0.051465917,-0.065590724,0.025589688,0.008100434,-0.017763799,0.045237258,-0.057751015,-0.026787957,0.0036249724,-0.031137085,0.031649314,0.050335504,0.042315114,0.025752623,0.04658438,-0.00253588,-0.078719154,0.0058592563,-0.054497857,-0.014782195,0.0365...	[{"ner":"today","lemma":"today","label":"DATE","start_pos":38,"end_pos":43},{"ner":"Сегодня","lemma":"Сегодня","label":"PER","start_pos":45,"end_pos":52},{"ner":"немного неважно.","lemma":"немного неважно.","label":"PER","start_pos":69,"end_pos":85},{"ner":"Он","lemma":"Он","label":"ORG","start_pos":137,"end_pos":139},...	NEGATIVE	other	NOT SPAM	53	0	0	0.611111	0.388889	0	3	6	7	0	0	6	9	true
120	null	🧠 Только люди с IQ выше 125 могут дать правильный ответ! Как достать монетку из бутылки?	https://t.me/BeginEN/103?embed=1&mode=tme	https://t.me/	https://t.me/s/BeginEN	3,900	1,702,026,594	1,736,461,167	1,978	[0.012026325,0.029481322,-0.015146822,-0.0319438,-0.004154521,0.039536346,-0.0145699,-0.032331105,-0.07293971,-0.053650558,0.041759618,-0.049340658,-0.046908546,-0.053579703,0.02389271,-0.009802828,0.051331002,-0.028916426,-0.036086798,-0.035774447,0.0034972013,0.053861916,0.009345097,-0.009976315,0.07032383,0.0203226,...	[{"ner":"125","lemma":"125","label":"NUM","start_pos":24,"end_pos":27}]	NEUTRAL	rus	NOT SPAM	16	0	1	0.95	0.05	0	1	3	0	1	4	2	2	true
120	null	Тест на вашу психику, который чертовски удивит 🤯 Прямо сейчас сожмите ладони и выберите ваш вариант ответа 👇🏻	https://t.me/BeginEN/104?embed=1&mode=tme	https://t.me/	https://t.me/s/BeginEN	4,400	1,702,032,224	1,736,461,167	1,978	[-0.0057831416,0.0040027364,-0.040535975,-0.0014736326,0.024208399,-0.022665475,0.005731953,0.004966803,-0.043996688,-0.07257621,-0.061385125,-0.018711204,0.037755918,0.00818644,-0.01957726,-0.0018624384,0.028420761,-0.03331336,-0.0010907048,-0.047207635,0.008990863,-0.019791361,0.015897604,0.0033184753,-0.015787074,0....	null	NEUTRAL	rus	NOT SPAM	18	0	0	1	0	0	0	3	1	0	7	3	1	true
120	null	Fruit — Фрукты • apple — яблоко • banana — банан • grape — виноград • lemon — лимон • grapefruit — грейпфрут • orange — апельсин • plum — слива • peach — персик • apricot — абрикос • pineapple — ананас • persimmon — хурма • pear — груша Berries — Ягоды • cherry — вишня • sweet cherry — черешня • red currant — красная с...	https://t.me/BeginEN/105?embed=1&mode=tme	https://t.me/	https://t.me/s/BeginEN	3,200	1,709,111,328	1,736,461,167	1,957	[-0.034690812,0.020626333,-0.032840747,-0.026113369,-0.028042855,-0.014218552,-0.014094151,-0.060516767,-0.035267424,0.031436592,-0.05773403,-0.009640629,-0.047981057,-0.01730513,0.019969355,-0.05618467,0.009048998,-0.023693163,-0.0045460225,0.014319483,0.019690635,-0.058721866,-0.030401995,0.02613956,0.024772048,-0.05...	[{"ner":"strawberry","lemma":"strawberry","label":"PER","start_pos":435,"end_pos":445},{"ner":"дыня\n•","lemma":"дыня\n•","label":"ORG","start_pos":490,"end_pos":496}]	NEUTRAL	other	NOT SPAM	103	0	0	0.813333	0.186667	0	2	1	0	0	23	0	33	true
120	null	Reported Speech: Учимся передавать сказанное собеседником, используя косвенную речь В этом видео преподаватель Ольга Рожкова рассказывает, как правильно передавать слова собеседника, превращая их в косвенную речь или Reported Speech. Помимо этого, она объясняет, чем отличаются друг от друга Direct и Reported Speech, ка...	https://t.me/BigAppleSchool/3077?embed=1&mode=tme	https://t.me/	https://t.me/s/BigAppleSchool	5,400	1,721,386,270	1,736,461,167	1,929	[-0.04613963,0.003832124,-0.036423612,-0.027611533,-0.04182255,-0.062411413,-0.04402151,-0.0020416623,-0.08129781,-0.050122194,-0.06941933,0.018646931,-0.03526751,-0.04051165,-0.019766323,0.0025342838,0.023257328,-0.031715613,-0.030071685,-0.049780305,-0.07005658,0.07084643,0.01959719,0.030189771,-0.007976144,-0.075494...	[{"ner":"Ольга Рожкова","lemma":"Ольга Рожкова","label":"ORG","start_pos":111,"end_pos":124},{"ner":"превращая их","lemma":"превращая их","label":"PER","start_pos":183,"end_pos":195},{"ner":"Помимо","lemma":"Помимо","label":"PER","start_pos":234,"end_pos":240},{"ner":"отличаются друг","lemma":"отличаются друг","label":...	NEUTRAL	rus	NOT SPAM	62	0	1	0.898734	0.101266	0	5	12	6	0	13	2	12	true

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Description in English:

A dataset collected from 30 Russian-language Telegram channels on the topic of learning English, this dataset contains grammar, syntax, spelling and punctuation rules, as well as English words with Russian translations. The dataset was collected and marked automatically using the Scoutie data collection and marking service.
Try Scoutie and collect the same or another dataset using the link.

Dataset fields:

taskId - task identifier in the Scouti service.
text - main text.
url - link to the publication.
sourceLink - link to Telegram.
subSourceLink - link to the channel.
views - text views.
likes - for this dataset, an empty field (meaning the number of emotions).
createTime - publication date in unix time format.
createTime - publication collection date in unix time format.
clusterId - cluster id.
vector - text embedding (its vector representation).
ners - array of identified named entities, where lemma is a lemmatized representation of a word, and label is the name of a tag, start_pos is the starting position of an entity in the text, end_pos is the ending position of an entity in the text.
sentiment - emotional coloring of the text: POSITIVE, NEGATIVE, NEUTRAL.
language - text language RUS, ENG.
spam - text classification as advertising or not NOT_SPAM - no advertising, otherwise SPAM - the text is marked as advertising.
length - number of tokens in the text (words).
markedUp - means that the text is marked or not within the framework of the Skauti service, takes the value true or false.

Описание на русском языке:

Датасет собранный из 30 русскоязычных Telegram каналов на тему изучения Английского языка, данный датасет содержит в себе грамматические, синтаксические, орфографические и пунктуационные правила, а также английские слова с русским переводом Датасет был собран и размечен автоматически с помощью сервиса сбора и разметки данных Скаути.
Попробуй Скаути и собери такой же или другой датасет по ссылке.

Поля датасета:

taskId - идентификатор задачи в сервисе Скаути.
text - основной текст.
url - ссылка на публикацию.
sourceLink - ссылка на Telegram.
subSourceLink - ссылка на канал.
views - просмотры текста.
likes - для данного датасета пустое поле (означающее количество эмоций).
createTime - дата публикации в формате unix time.
createTime - дата сбора публикации в формате unix time.
clusterId - id кластера.
vector - embedding текста (его векторное представление).
ners - массив выявленных именованных сущностей, где lemma - лемматизированное представление слова, а label это название тега, start_pos - начальная позиция сущности в тексте, end_pos - конечная позиция сущности в тексте.
sentiment - эмоциональный окрас текста: POSITIVE, NEGATIVE, NEUTRAL.
language - язык текста RUS, ENG.
spam - классификация текста, как рекламный или нет NOT_SPAM - нет рекламы, иначе SPAM - текст помечен, как рекламный.
length - количество токенов в тексте (слов).
markedUp - означает, что текст размечен или нет в рамках сервиса Скаути принимает значение true или false.

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