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cfb95116-7991-44cd-9e64-cb21c093d619 | 3c5a633c-cf00-42ba-b383-e20938e2ef2a | 97894afc-2204-4c7b-9b91-f1c71c10f032 | 2023-02-08T12:29:51.623842+00:00 | А что такое конгломерат земли? | prompter | ru | 3 | true | false | null | false | null | {
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f49c996d-10a1-483f-8d0b-ce5430ff789a | cfb95116-7991-44cd-9e64-cb21c093d619 | 0717de43-0ef7-439a-9d24-0cb416cabe16 | 2023-02-10T12:53:26.032002+00:00 | Конгломерат земли — это смесь из песка, глины и грунта, что помогает сохранять необходимые условия для роста растений. Он также помогает сохранить влагу и удерживать питательные вещества. | assistant | ru | 3 | true | false | 0 | false | null | {
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ce5a43e6-bc83-40b3-b1a9-a33f30fcca29 | cfb95116-7991-44cd-9e64-cb21c093d619 | bf6867fd-6273-4ed3-99d9-5078e8c59b8a | 2023-02-10T09:34:22.787562+00:00 | Это не «конгломерат земли», а «конгломерат из горшечной земли, мха сфагнума и перлита». Извините за книжное слово, оно значит «соединение чего-то разнородного, беспорядочная смесь». Вероятно, мне стоило просто сказать «смесь горшечной земли, мха сфагнума и перлита». Постараюсь в дальнейшем выражаться проще и яснее. Спасибо, что не постеснялись спросить! | assistant | ru | 3 | true | false | 1 | false | null | {
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6e2182c8-bb72-4cfb-92fc-ed185b0b0d14 | b0d2d516-46c8-46ab-bbe5-51b992602432 | 05a1b4a0-09af-46e8-973f-5beafb29a70e | 2023-02-07T15:37:44.073039+00:00 | Основные меры ухода за фикусом:
- Полив: фикус нуждается в регулярном поливе, но нельзя переувлажнять. Дождитесь, пока верхний слой почвы не высохнет, прежде чем полить растение снова.
- Освещение: фикус предпочитает яркое, но рассеянное. Удерживайте растение от прямых солнечных лучей.
- Температура: фикус предпочитает температуру в диапазоне от 15 до 29 градусов Цельсия.
- Почва: фикус предпочитает почву с хорошим дренажом, например, смесь из перегноя и песка.
- Удобрение: подкармливайте фикус раз в месяц, используя комплексное удобрение для суккулентов.
- Обрезка: обрезайте ветви, когда они становятся длинными или тонкими, чтобы сохранить форму растения. | assistant | ru | 3 | true | false | 1 | false | null | {
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03e288ee-4875-4adb-a0d1-1299b87831db | 6e2182c8-bb72-4cfb-92fc-ed185b0b0d14 | 85e758bd-a275-4141-9080-d073794af96c | 2023-02-07T23:11:22.891645+00:00 | Если всё это обобщить, насколько уход за фикусом трудозатратен? Сколько времени необходимо ему уделять? | prompter | ru | 3 | true | false | null | false | null | {
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55abd6c6-abad-4c99-86cd-d814287002ec | 03e288ee-4875-4adb-a0d1-1299b87831db | 97894afc-2204-4c7b-9b91-f1c71c10f032 | 2023-02-09T21:25:08.999972+00:00 | Уход за фикусом может занимать от нескольких минут в неделю до более значительного количества времени, в зависимости от вида фикуса и условий среды его выращивания. Необходимость в поливе, освещении и пересадке также могут влиять на количество времени, которое необходимо уделять уходу за фикусом. | assistant | ru | 3 | true | false | 0 | false | null | {
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ba0dafd2-626e-4ab6-9c3c-713c91cd0beb | 55abd6c6-abad-4c99-86cd-d814287002ec | 81033bee-85f7-4938-bc01-b33878ea6bd5 | 2023-02-10T14:40:54.610893+00:00 | Какие виды домашних растений похожи на фикус, но являются более неприхотливыми в уходе? | prompter | ru | 3 | true | false | null | false | null | {
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99f43a1f-e90c-42e5-a945-df5c3eba1ed5 | ba0dafd2-626e-4ab6-9c3c-713c91cd0beb | 97894afc-2204-4c7b-9b91-f1c71c10f032 | 2023-02-10T20:22:14.558189+00:00 | Существует несколько комнатных растений, которые внешне похожи на фикус, но уход за ними, как правило, проще. Вот несколько вариантов:
1. Потос (Epipremnum aureum) - у этого растения длинные, тянущиеся лианы, которые можно приспособить для подъёма на шпалеру или оставить свисать вниз. За ним легко ухаживать, и оно может процветать в условиях низкой или средней освещенности.
2. Драцена трёхполосная (Sansevieria) - у этого растения жёсткие, вертикальные листья, напоминающие листья фикуса. Оно не требует особого ухода и может переносить слабое освещение, редкий полив и отсутствие ухода.
3. Замиокулькас (Zamioculcas zamiifolia) - у этого растения глянцевые тёмно-зелёные листья, растущие из стебля, похожего на луковицу. Оно хорошо переносит недостаток света и нечастый полив, что делает его отличным вариантом для тех, кто только начинает ухаживать за растениями.
4. Аспидистра (Aspidistra elatior) - у этого растения длинные тёмно-зелёные листья, растущие от основания растения. Оно очень выносливо и может переносить слабое освещение, нечастый полив и широкий диапазон температур. | assistant | ru | 3 | true | false | null | false | null | {
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e10b936b-f46d-482a-9c66-20abd227113f | 03e288ee-4875-4adb-a0d1-1299b87831db | 4cc27c8e-4ac4-4f6f-aee9-f0f8c884123a | 2023-02-09T20:33:20.698660+00:00 | Частота полива сильно зависит от температуры в вашей комнате. При комнатной температуре и умеренной влажности растение необходимо поливать 1 раз в неделю. Если в комнате очень жарко, поливать фикусы необходимо чаще — каждые 2-3 дня и регулярно опрыскивать крону. При температуре +15-16 градусов достаточно поливать фикус 1 раз в 10 дней.
Таким образом уход за фикусом не займет у вас много времени. | assistant | ru | 3 | true | false | 1 | false | null | {
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6fed66ca-0644-4570-b8b1-c6f6229453d5 | e10b936b-f46d-482a-9c66-20abd227113f | 97894afc-2204-4c7b-9b91-f1c71c10f032 | 2023-02-10T12:33:24.615778+00:00 | А кроме полива? | prompter | ru | 3 | true | false | null | false | null | {
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98e396e4-6d5a-41c4-9069-e34f2ad3b0f6 | null | f9a1100c-c9f8-495d-ab70-712d526fd86c | 2023-02-05T09:27:33.432388+00:00 | Как часто нужно мыть голову? | prompter | ru | 3 | true | false | null | false | null | {
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494fb841-e874-4013-a4e3-d07a3bd0d08b | 98e396e4-6d5a-41c4-9069-e34f2ad3b0f6 | bf6867fd-6273-4ed3-99d9-5078e8c59b8a | 2023-02-15T16:35:35.696857+00:00 | Мыть голову следует по мере её загрязнения. Если вы видите, что волосы стали жирными или чувствуете дискомфорт, значит пора отправляться в душ. Если вас всё устраивает, нет никакого смысла тратить время, воду и шампунь. | assistant | ru | 3 | true | false | 0 | false | null | {
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8488e53a-feba-4e32-82c6-49b498637e6c | 494fb841-e874-4013-a4e3-d07a3bd0d08b | 97894afc-2204-4c7b-9b91-f1c71c10f032 | 2023-02-15T21:59:05.854035+00:00 | А сколько нужно не мыть голову, чтобы в ней завелись вши? | prompter | ru | 3 | true | false | null | false | null | {
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98ee81bf-4563-4166-9787-0ace87e9ac11 | 8488e53a-feba-4e32-82c6-49b498637e6c | bf6867fd-6273-4ed3-99d9-5078e8c59b8a | 2023-02-16T15:26:04.130751+00:00 | Вши не могут завестись оттого, что вы долго не моете голову. Они могут лишь переселиться от другого носителя (напрямую или через вещи, например расчёску) и сделают это одинаково охотно вне зависимости от того, когда вы мыли голову (если, конечно, вы не использовали почему-то специальный антиблошиный шампунь). Так что внимательно следите за предметами, касающимися вашей головы (не используйте расчёсок и головных уборов совместно с другими людьми), а мыть голову можете с удобной для вас частотой, не думая о паразитах. | assistant | ru | 3 | true | false | 0 | false | null | {
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896fb89a-fd7a-4b03-9cf5-d849b79418a4 | 98ee81bf-4563-4166-9787-0ace87e9ac11 | 97894afc-2204-4c7b-9b91-f1c71c10f032 | 2023-02-17T10:54:05.861551+00:00 | А сколько вообще можно не мыться без вреда для здоровья? | prompter | ru | 3 | true | false | null | false | null | {
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4032acbe-96d2-492f-a6a3-c2577a1faae1 | 8488e53a-feba-4e32-82c6-49b498637e6c | fdac1adc-d16a-4b86-9cd6-bea924af149b | 2023-02-17T12:34:03.320444+00:00 | Вши заведутся если вы заразитесь ими от человека у которого уже есть вши. Грязная кожа головы может способствовать заражению, но не может быть причиной. | assistant | ru | 3 | true | false | 1 | false | null | {
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5ac90a1f-6df9-4254-9024-40557efdca63 | 4032acbe-96d2-492f-a6a3-c2577a1faae1 | 97894afc-2204-4c7b-9b91-f1c71c10f032 | 2023-02-18T18:16:25.456574+00:00 | А не изобрели ли такого способа, чтобы голова вообще не пачкалась или пачкалась медленно? | prompter | ru | 4 | false | false | null | false | null | {
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6e739c89-7cba-401a-8df3-7597f1a77042 | 98e396e4-6d5a-41c4-9069-e34f2ad3b0f6 | 97894afc-2204-4c7b-9b91-f1c71c10f032 | 2023-02-15T15:51:56.287874+00:00 | Частота мытья головы зависит от индивидуальных предпочтений. В соответствии с рекомендациями Роспотребнадзора голову нужно мыть так часто, как этого требует состояние кожи головы: жирная - два-три раза в неделю, сухая - достаточно и одного раза в неделю. | assistant | ru | 3 | true | false | 1 | false | null | {
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81ebb865-693f-4dd1-8738-4a4161d99746 | 6e739c89-7cba-401a-8df3-7597f1a77042 | bf6867fd-6273-4ed3-99d9-5078e8c59b8a | 2023-02-17T16:09:01.683455+00:00 | А как мне понять, какой у меня тип кожи по классификации Роспотребнадзора? | prompter | ru | 3 | true | false | null | false | null | {
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87e98d76-2956-4e3e-800a-78dfd332089e | 81ebb865-693f-4dd1-8738-4a4161d99746 | 97894afc-2204-4c7b-9b91-f1c71c10f032 | 2023-02-17T23:32:07.181149+00:00 | Если кожа жирная, то при средней длине волос они становятся сальными уже через сутки. Кроме того, у людей с жирной кожей повышенное выделение кожного сала наблюдается не только в верхней части головы, но и на лице. Из-за этого таким людям часто нужны специальные высушивающие кожу лица лосьоны. Поэтому если вы никогда не испытывали подобных проблем, то у вас кожа нежирная.
Для чрезмерно сухой кожи характерно шелушение и перхоть. У людей с сухой кожей она может быть чувствительна к морозу зимой и палящему солнцу летом. В этом случае сухость также имеет место и на лице, поэтому такие люди зачастую вынуждены пользоваться увлажняющими кремами. | assistant | ru | 3 | true | false | null | false | null | {
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b9be3596-3456-431c-a1ca-e73f3120f4d1 | 98e396e4-6d5a-41c4-9069-e34f2ad3b0f6 | fdac1adc-d16a-4b86-9cd6-bea924af149b | 2023-02-17T13:45:09.366200+00:00 | Это зависит от типа кожи головы. | assistant | ru | 3 | true | false | 2 | false | null | {
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776fc25f-dc4a-4032-acd1-108b94345a4a | b9be3596-3456-431c-a1ca-e73f3120f4d1 | bf6867fd-6273-4ed3-99d9-5078e8c59b8a | 2023-02-18T20:03:27.899089+00:00 | Теперь из одного вопроса возникло два:
1. Какова упомянутая зависимость?
2. Как мне узнать свой тип кожи? | prompter | ru | 3 | true | false | null | false | null | {
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58a11cb6-0f0b-4b8f-b19b-9721fb7f4314 | null | 52a85953-f8f0-444c-80d0-b0818b39645a | 2023-01-28T21:26:11.773624+00:00 | Dessine-moi une fleur en art ASCII | prompter | fr | 3 | true | false | null | false | null | {
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6e87c8de-914a-4e69-b1e6-a7fd4610f02c | 58a11cb6-0f0b-4b8f-b19b-9721fb7f4314 | 7f0a7a42-1c60-4f05-9aff-c6a576bffb19 | 2023-01-29T13:06:39.372087+00:00 | Voici une rose en art ASCII :
_,--._.-,
/\_r-,\_ )
.-.) _;='_/ (.;
\ \' \/S )
L.'-. _.'|-'
<_`-'\'_.'/
`'-._( \
___ \\, ___
\ .'-. \\ .-'_. /
'._' '.\\/.-'_.'
'--``\('--'
\\
`\\,
\| | assistant | fr | 3 | true | false | 0 | false | null | {
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8d93353d-c2e0-4518-bf6a-cfc1901dbe55 | 6e87c8de-914a-4e69-b1e6-a7fd4610f02c | e70a016a-1686-47bf-9c4d-a28e2958a8f5 | 2023-02-04T15:42:32.707993+00:00 | Rajoute une feuille | prompter | fr | 3 | true | false | null | false | null | {
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64814f32-2040-4d35-92b8-c005093b4ae9 | 8d93353d-c2e0-4518-bf6a-cfc1901dbe55 | 7f8fe183-ac83-4e2f-9dbe-0b27ae96965f | 2023-02-06T13:49:21.864502+00:00 | _,--._.-,
/\_r-,\_ )
.-.) _;='_/ (.;
\ \' \/S )
L.'-. _.'|-' ___
<_`-'\'_.'/ .-'_. /
`'-._( \ /.-'_.'
___ \('--' ___
\ .'-. \\ .-'_. /
'._' '. \\/.-'_.'
'--`\('--'
\\
`\\,
\| | assistant | fr | 3 | true | false | 0 | false | null | {
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} | 58a11cb6-0f0b-4b8f-b19b-9721fb7f4314 | ready_for_export | null | {
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0e7efee9-6b7b-48a9-9c4d-bc119af1652c | 8d93353d-c2e0-4518-bf6a-cfc1901dbe55 | 818581ee-4355-4990-9da5-8390f1e708bd | 2023-02-05T21:55:05.757096+00:00 | Voici une fleur avec une feuille en art ASCII :
_,--._.-,
/\_r-,\_ )
.-.) _;='_/ (.;
\ \' \/S )
L.'-. _.'|-'
<_`-'\'_.'/
`'-._( \
___ \\, ___
\ .'-. \\\\ .-'_. /
'._' '.\//.-'_.'
'--``\('--'
\\\\
| \\
/ |
/ |
/ |
/ |
| |
| /
| /
| /
| /
| /
|/ | assistant | fr | 3 | true | false | 1 | false | null | {
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a8d8a717-1d45-463c-ab4c-23203ada91e3 | 8d93353d-c2e0-4518-bf6a-cfc1901dbe55 | c212120c-0b79-4b32-a5b1-d96686ca92ca | 2023-02-06T20:07:46.119813+00:00 | Voici comment créer un dictionnaire avec les noms + préno | assistant | fr | 3 | false | true | null | false | null | {
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fcc15286-acb3-4ce6-acf0-e709c43d848e | 58a11cb6-0f0b-4b8f-b19b-9721fb7f4314 | 7b9a90c3-2edd-4a27-826d-be9afe8f2dd9 | 2023-01-30T22:31:07.656093+00:00 | _.-.
-' ' .-'-.
.', ' ' '
', `, . '.-. '
' \ ' ." ".'
'.' \ ;.", "-._
' '. ," "-." '.
_.--'. ." ,.--. .
, ' "-..".-' \ '
-` _.''". ' . '
' -' " '- '.
' ' " ' '
'.' " ' .'
', " ' .'
" ,'
"
"
_."._ | assistant | fr | 3 | true | false | 1 | false | null | {
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6f7144a6-ff2d-49fa-8824-4f4a6e267dc9 | fcc15286-acb3-4ce6-acf0-e709c43d848e | cca673c1-4189-48b0-94b5-0fb319449fed | 2023-02-04T08:40:11.924004+00:00 | Elle est plutôt belle bravo ! Quel type de fleur est-ce ? | prompter | fr | 3 | true | false | null | false | null | {
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} | 58a11cb6-0f0b-4b8f-b19b-9721fb7f4314 | ready_for_export | {
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6d37b822-07d4-4593-a63d-f021131c7c3c | 6f7144a6-ff2d-49fa-8824-4f4a6e267dc9 | 818581ee-4355-4990-9da5-8390f1e708bd | 2023-02-05T16:44:44.249821+00:00 | C'est difficile à dire avec certitude, car il s'agit d'une représentation en art ASCII qui peut ressembler à différents types de fleurs. Cependant, il pourrait s'agir d'une fleur générique, comme une rose ou une marguerite. | assistant | fr | 3 | true | false | 0 | false | null | {
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} | 58a11cb6-0f0b-4b8f-b19b-9721fb7f4314 | ready_for_export | null | {
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4c1d25ca-118c-4a08-bad9-ad227c2a7ef4 | 6f7144a6-ff2d-49fa-8824-4f4a6e267dc9 | f710d3f7-ab23-4f14-99e4-6f2cbd1c400e | 2023-02-05T17:40:51.285661+00:00 | C'est une fleur de vanille orchidée, aussi appelé Vanilla planifolia. Elle appartient à la classe des monocotylédones, et plus précisément à la sous classe des Liliidae. | assistant | fr | 3 | true | false | 1 | false | null | {
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} | 58a11cb6-0f0b-4b8f-b19b-9721fb7f4314 | ready_for_export | null | {
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3dd70978-6aa9-4151-97f6-3ee90172c079 | 6f7144a6-ff2d-49fa-8824-4f4a6e267dc9 | cca673c1-4189-48b0-94b5-0fb319449fed | 2023-02-08T11:02:49.746610+00:00 | Merci ! C'est une fleur de lys. | assistant | fr | 3 | true | false | 2 | false | null | {
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0202f03f-9778-4185-8271-73ead97cea4e | 58a11cb6-0f0b-4b8f-b19b-9721fb7f4314 | dc3475f3-587d-41f1-bf01-a5962473c049 | 2023-02-04T17:53:39.695321+00:00 | Bien sûr :
(\\\\\)
(\\\o\\\)
(\\\\)
<|
|>
######
J'espère que vous en serez satisfait | assistant | fr | 3 | true | false | 2 | false | null | {
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75adc3a6-7b82-4a68-a39b-256c680445f5 | 0202f03f-9778-4185-8271-73ead97cea4e | aa01e8bb-b282-4b18-b42f-ca44ce11a801 | 2023-02-05T11:12:30.455841+00:00 | Et une vache dans une ferme avec un paysage de collines avec un grand soleil et un ciel peu nuageux ? | prompter | fr | 3 | true | false | null | false | null | {
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612ad31e-8832-44d8-b7b9-93b15b6c1dbc | 75adc3a6-7b82-4a68-a39b-256c680445f5 | c212120c-0b79-4b32-a5b1-d96686ca92ca | 2023-02-07T06:31:45.956736+00:00 | Il existe plusieurs méthodes pour calculer l'intégrale d'une fonction, telles que:
1. La méthode des rectangles
2. La méthode des trapèzes
3. La méthode de Simpson
4. La méthode de Monte Carlo
5. La méthode de Gauss-Legendre
6. La méthode de transformation de Laplace. | assistant | fr | 1 | null | true | null | false | null | {
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f923bc62-db6c-4c10-9350-69b42ac26e71 | null | 0b626c99-2f74-460e-babd-72fa989bfc3c | 2023-02-04T18:34:48.971445+00:00 | What is GDPR and how will it impact compliance with privacy regulations? | prompter | en | 3 | true | false | null | false | null | {
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9bc5e5e1-b410-4222-9392-c25a86f7a771 | f923bc62-db6c-4c10-9350-69b42ac26e71 | b6d67d2f-57dd-4bbf-b3cc-20b0188c6390 | 2023-02-05T00:10:23.276380+00:00 | The General Data Protection Regulation (GDPR) is a comprehensive data protection law of the European Union (EU) that came into effect in May 2018. It replaces the 1995 EU Data Protection Directive and provides harmonized data protection rules across all EU member states.
The GDPR has a significant impact on the compliance with privacy regulations as it sets new standards for data protection and privacy of EU citizens. It gives individuals more control over their personal data, including the right to access, rectify, erase, or restrict the processing of their personal information. Organizations that handle the personal data of EU citizens, whether they are based inside or outside the EU, must comply with the GDPR.
Under the GDPR, organizations must implement appropriate technical and organizational measures to protect personal data, appoint a Data Protection Officer (DPO) if necessary, and report data breaches to authorities and affected individuals without undue delay. Organizations can face significant fines for non-compliance, so it is important to be aware of and comply with the GDPR's requirements. | assistant | en | 3 | true | false | 0 | false | null | {
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a147ff2c-7327-4710-ac27-9a26539a0d30 | 9bc5e5e1-b410-4222-9392-c25a86f7a771 | ae7e5173-818a-45e4-8624-63f3c1afb8b9 | 2023-02-05T02:10:00.243866+00:00 | Why does data need to be protected? Why is privacy important? | prompter | en | 3 | true | false | null | false | null | {
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} | f923bc62-db6c-4c10-9350-69b42ac26e71 | ready_for_export | null | {
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b4060753-723c-4762-aff8-fe86de1169a9 | f923bc62-db6c-4c10-9350-69b42ac26e71 | bd18a07e-c419-463f-a9e1-37e2e48c3cd0 | 2023-02-05T00:28:41.712027+00:00 | The General Data Protection Regulation (GDPR) is a comprehensive privacy regulation enacted by the European Union (EU) in 2016. It replaces the 1995 Data Protection Directive and provides greater protection and rights to individuals with regard to their personal data. GDPR applies to any organization that processes personal data of EU residents, regardless of location, and imposes strict requirements for data protection, security and privacy. Organizations must obtain explicit consent for collecting, processing and storing personal data, and must take measures to ensure its confidentiality and security. Non-compliance with GDPR can result in substantial fines, up to 4% of the company's global revenue or €20 million, whichever is higher. The implementation of GDPR will require organizations to evaluate and update their privacy practices, including data protection policies, data breach procedures and privacy notices. | assistant | en | 3 | true | false | 1 | false | null | {
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5097edd1-d4d1-419c-b62d-02cf60b6fd96 | b4060753-723c-4762-aff8-fe86de1169a9 | 347636b7-9eb5-4c6e-b311-feb29b7095d0 | 2023-02-05T02:03:48.277396+00:00 | What kinds of organizations will avoid complying with GDPR? | prompter | en | 3 | true | false | null | false | null | {
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d96a3f93-5e3d-4047-8480-06044ab6b8ec | f923bc62-db6c-4c10-9350-69b42ac26e71 | 37f599ea-ee2d-42dd-bceb-f9f439805044 | 2023-02-05T00:32:10.751985+00:00 | The General Data Protection Regulation (GDPR) is a Regulation in EU law on data protection and privacy in the EU. GDPR was adopted in 14 April 2016 and from 25 May of 2018 is enforceable. It regulates how and when personal data could be processed. It relevance for the purposes of privacy of general population is that it regulates what should account as an informed consent if this is the lawful basis for data processing. Namely, the consent should be specific, freely-given, plainly worded and unambiguous affirmation given by the data subject. However, GDPR have been criticized for slow an inefficient enforcement. In particular, courts are slow to consider GDPR cases. At the day when regulation went into effect (25 May 2018) a non-profit organization NOYB filed "forced consent" compliance against Facebook and its subsidiaries WhatsApp and Instagram, as well as Google. And as of January 2023 only the court case against Google had resulted in €50 million fine, while the other cases are still pending. | assistant | en | 3 | true | false | 3 | false | null | {
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79f56134-52ad-4053-9bea-2f1486f16653 | d96a3f93-5e3d-4047-8480-06044ab6b8ec | 347636b7-9eb5-4c6e-b311-feb29b7095d0 | 2023-02-05T02:12:02.570166+00:00 | Repeat the information as a serialized knowledge graph. | prompter | en | 3 | true | false | null | false | null | {
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f3219004-dc1f-4878-ae23-b8aa04c6596d | d96a3f93-5e3d-4047-8480-06044ab6b8ec | ae7e5173-818a-45e4-8624-63f3c1afb8b9 | 2023-02-05T02:12:32.153755+00:00 | Is a €50 million fine significant to Google? If they are making billions of dollars, why can't they just continuously break the law and consider the fines a cost of doing business? | prompter | en | 3 | true | false | null | false | null | {
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a7da491a-d8cc-4094-8ac1-49eeb1df4dea | f923bc62-db6c-4c10-9350-69b42ac26e71 | 9b9b4f83-d78e-44d2-900e-dd9218e0ef45 | 2023-02-05T00:26:38.707933+00:00 | GDPR is a set of laws enacted by the European Union in order to protect the privacy of its citizens. These laws carry penalties for companies that are not complaint with privacy regulations. | assistant | en | 3 | true | false | 4 | false | null | {
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75e82e01-37d4-488f-a1ef-17b69acc134f | a7da491a-d8cc-4094-8ac1-49eeb1df4dea | a30d76d0-340f-4690-891e-8490f7f4422a | 2023-02-05T01:47:49.562535+00:00 | What are some of the major provisions of the GDPR that companies should be aware of? | prompter | en | 3 | true | false | null | false | null | {
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ae0164f1-eebb-4d6a-b51d-f7f4a3fa0bd1 | a7da491a-d8cc-4094-8ac1-49eeb1df4dea | b676ec15-abd6-4811-8c07-0e23d515b6f8 | 2023-02-05T01:47:41.610639+00:00 | Could you elaborate what kind of penalties there are and what are the names of the privacy regulations and what do they do? | prompter | en | 3 | true | false | null | false | null | {
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e6db73e1-4fa6-4de2-a1fc-dc27f919ad23 | null | 35d80db3-0e10-4a44-a3d4-0e1dae2b2495 | 2023-02-11T19:51:22.599852+00:00 | ¿qué material es más conductor?: ¿El cobre o el aluminio? | prompter | es | 3 | true | false | null | false | null | {
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725aee99-bb92-4104-b14b-0e5fc9629ff8 | e6db73e1-4fa6-4de2-a1fc-dc27f919ad23 | 9b804b9c-0ce2-4086-adbc-118c06f7e449 | 2023-02-16T17:52:02.307538+00:00 | Entre el cobre y el aluminio es el mejor conductor es el cobre.
Sin embargo, el aluminio tiene algunas ventajas sobre el cobre, como su menor peso, su menor costo y su mayor abundancia. Por eso, el aluminio se usa a veces como alternativa al cobre en algunos tipos de cableado o en algunos disipadores. | assistant | es | 3 | true | false | 0 | false | null | {
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ebf8da62-0126-4e0a-818c-f0d9bf201e31 | e6db73e1-4fa6-4de2-a1fc-dc27f919ad23 | 627c9be4-1e1c-4690-9fbc-ce579fc67a51 | 2023-02-16T17:30:47.206448+00:00 | El cobre conduce la electricidad mucho mejor que el aluminio, lo que significa que son utilizados conductores de cobre más pequeños para proveer las mismas capacidades que los conductores más gruesos de aluminio. | assistant | es | 3 | true | false | 1 | false | null | {
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6fcece34-90f4-47eb-800a-16c9e78ae0a9 | e6db73e1-4fa6-4de2-a1fc-dc27f919ad23 | 2a04a72d-c909-422f-921a-5ed54ecfd4d4 | 2023-02-16T17:33:12.164284+00:00 | El cobre es un mejor conductor que el aluminio. | assistant | es | 3 | true | false | 2 | false | null | {
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4d1e7e40-c695-4fe3-b7b3-72b434eacf80 | null | ebb2f074-692c-434b-9200-bf56a01ef44b | 2023-02-04T22:41:13.954823+00:00 | How many days until christmas? | prompter | en | 3 | true | false | null | false | null | {
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06cfc460-8fb1-4bd6-9eec-03e66732b207 | 4d1e7e40-c695-4fe3-b7b3-72b434eacf80 | 7de84fb1-4cf5-4142-989d-f490fc526bfd | 2023-02-05T14:06:02.453726+00:00 | Today is February 5th, 2023, so there are 320 days until Christmas. | assistant | en | 3 | true | false | 1 | false | null | {
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afd5077b-8e89-4a98-8259-18a5f6c6c7ac | 06cfc460-8fb1-4bd6-9eec-03e66732b207 | 01122304-40e6-4cd3-a37d-045cdeada86b | 2023-02-05T15:30:51.014377+00:00 | Thank you. How many days has it been since last christmas? | prompter | en | 3 | true | false | null | false | null | {
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12a9825f-44b8-4dd8-82cb-5f9e80dbe6e6 | 4d1e7e40-c695-4fe3-b7b3-72b434eacf80 | b8e63600-1f94-45cf-be1d-2992d3c865f2 | 2023-02-05T14:07:20.078683+00:00 | I'm afraid it is outside of my capabilities to know the date, as I cannot update my responses without being retrained. So I cannot tell you how many days therer are until christmas. Though I hope you have a very merry christmas, no matter how far away it is. | assistant | en | 3 | true | false | 3 | false | null | {
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18f3b541-fe5d-493a-a938-e292f80595aa | ae7295ba-8d12-496a-8131-1d4b08079432 | 02539162-8c5e-467e-a881-cb1d6046c8ce | 2023-02-05T17:13:26.399087+00:00 | As I can collect data, I can tell you that there is 323 days from 2/5/23.
This may be incorrect, to get correct data, please ask and include the date. | assistant | en | 3 | true | false | 2 | false | null | {
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澗水潺潺流，風靡花枝開。
漠漠長堤邊，萬里秋色來。
碧潭波光澤，滿江落月圓。
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漠漠长堤边迹老，万里秋色来上香。
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漠漠長堤聳立左右，萬里秋色帶來愁。
碧潭波光閃爍夢，滿江落月圓如鏡。
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漠漠長堤，風靡芳草，
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02ad56e3-701f-4397-9b60-0f6cd0dc8096 | 4ca89e61-7ec1-4a3f-8b3f-3ca0756f7412 | 7f0a7a42-1c60-4f05-9aff-c6a576bffb19 | 2023-02-10T22:01:42.941931+00:00 | Pour déterminer le plus grand diviseur commun de 28 et 74 on peut décomposer ces deux nombres en facteurs premiers et multiplier leurs diviseurs commun :
28 = 2x2x7
74 = 2x37
Seul 2 est un diviseur premier commun à 28 et 74. Le plus grand diviseur commun de 28 et 74 est donc 2. | assistant | fr | 3 | true | false | 0 | false | null | {
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d8346b18-55dd-4628-bb7d-01c73f56057b | 02ad56e3-701f-4397-9b60-0f6cd0dc8096 | 6f55f69f-4be1-4f20-819e-7b07da2d9cdb | 2023-02-11T21:06:05.726280+00:00 | Et quel est le plus lcm (plus petit multiple commun) entre les deux ? | prompter | fr | 3 | true | false | null | false | null | {
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5e2bbf9a-823d-402d-9fa8-e66dfcec7c03 | 4ca89e61-7ec1-4a3f-8b3f-3ca0756f7412 | aa01e8bb-b282-4b18-b42f-ca44ce11a801 | 2023-02-11T10:30:50.244527+00:00 | Une façon est de décomposer les nombres en facteurs de nombres premiers et le PGCD (plus grand diviseur commun) sera le produit de tous les diviseurs premiers en communs.
28 = 2*2*7
74 = 2*37
Le PGCD(28,74)=2 | assistant | fr | 3 | true | false | 1 | false | null | {
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d43ba629-313b-45d2-886b-f714ec290342 | 5e2bbf9a-823d-402d-9fa8-e66dfcec7c03 | aa01e8bb-b282-4b18-b42f-ca44ce11a801 | 2023-02-12T11:07:28.625459+00:00 | Et le le plus grand multiple commun entre les deux ? | prompter | fr | 3 | true | false | null | false | null | {
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c2f8d14e-c598-4f2a-82a9-d0688a7ee7f4 | d43ba629-313b-45d2-886b-f714ec290342 | b0cc8f59-2219-4c30-a422-32653aee93e4 | 2023-02-24T15:15:39.099183+00:00 | Peut-être voulez-vous parler du plus petit multiple commun(PPCM) ?
Le PPCM est égal au produit des facteurs communs par les facteurs non communs. Ici, PPCM(28,74)=2*2*7*37=1036.
Une autre méthode consisterait à utiliser le fait que le produit des deux nombres est égal au produit de leur PGCD par leur PPCM. | assistant | fr | 3 | true | false | 0 | false | null | {
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add37506-dac8-4a97-8f8c-eaf90dcb992f | c2f8d14e-c598-4f2a-82a9-d0688a7ee7f4 | 5ed4e5ba-930f-45c7-b867-db7d190e2e7b | 2023-02-27T20:15:12.112189+00:00 | En effet, j'ai supposé que vous vouliez dire le PPCM dans votre question précédente. Donc le PPCM de 28 et 74 est 1036. Cela signifie que 1036 est le plus petit multiple commun de 28 et 74. On peut le calculer en multipliant les facteurs premiers communs (2 et 7) et les facteurs premiers non-communs (2 et 37) élevés à la puissance maximale qu'on les trouve dans chacun des nombres. | prompter | fr | 3 | true | false | null | false | null | {
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442567c4-9e27-445d-86a6-b15c4e38ee7a | d43ba629-313b-45d2-886b-f714ec290342 | df411b83-5030-4708-bf81-0fe9fa1398b2 | 2023-02-19T21:27:59.047378+00:00 | Le plus grand multiple commun entre 28 et 74 est 2377, soit 518. Vous pouvez le calculer en multipliant le PGCD (2) par chaque nombre premier qui est présent dans l'une des deux décompositions. Dans ce cas, les nombres premiers sont 2, 3 et 7, ce qui donne 237 = 42. | assistant | fr | 3 | true | false | 1 | false | null | {
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a1758a44-4760-4b7a-a3fd-e00e269a2614 | 442567c4-9e27-445d-86a6-b15c4e38ee7a | 10705952-b653-463b-acef-9da14f75cd55 | 2023-02-28T23:03:47.075785+00:00 | Non, j'ai fait une erreur et toi aussi. Il n'y a pas de plus grand multiple commun entre deux nombres. en effet, tout nombre de la forme n * 28 * 74 avec n entier strictement positif est un multiple commun de 28 et 74.
Une question plus intéressante serait le plus petit multiple commun: le PPCM.
Peux tu me donner le PPCM de 28 et 74 stp ? | prompter | fr | 3 | true | false | null | false | null | {
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dac35d6c-129f-48c6-9e12-61f941240087 | d43ba629-313b-45d2-886b-f714ec290342 | 67a849ba-1456-4834-a2ec-2b71c75b7727 | 2023-02-23T17:08:59.957867+00:00 | Le plus grand multiple commun est une autre appellation du plus grand diviseur commun donc dans votre cas PGMC = PGCD = 2 | assistant | fr | 3 | true | false | 2 | false | null | {
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768da27d-13ab-4314-a58e-8bab5e88c2a9 | 4ca89e61-7ec1-4a3f-8b3f-3ca0756f7412 | 67a849ba-1456-4834-a2ec-2b71c75b7727 | 2023-02-10T18:21:50.377284+00:00 | Pour déterminer le plus grand diviseur commun de 28 et 74 nous pouvons utiliser l'algorithme d'Euclide :
On effectue la division euclidienne du plus grand par le plus petit et on recommence avec le diviseur et le reste, jusqu'à ce que le reste soit nul. Le PGCD est alors le dernier reste non nul.
Dans notre cas :
74 = 2*28 + 18
28 = 1*18 + 10
18 = 1*10 + 8
10 = 1*8 + 2
8 = 4*2 + 0
Le PGCD est égal au dernier reste non nul : 2. | assistant | fr | 3 | true | false | 2 | false | null | {
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0db3a285-163b-4114-abf4-74ed8a405c85 | 768da27d-13ab-4314-a58e-8bab5e88c2a9 | 1b1ba0a2-279e-417d-a540-26bc90445fa2 | 2023-02-12T23:14:12.440273+00:00 | Et en utilisant la décomposition en facteurs premiers ? | prompter | fr | 3 | true | false | null | false | null | {
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c82d0c8c-9652-4427-bc3c-f4bdf662cf28 | null | 07a3085e-76a3-4a69-b5ac-70b2aa8b340a | 2023-02-05T02:04:43.249541+00:00 | Write for me a complete Transformer Neural network from scratch using python as language , pytorch as framework and use the Wikipediatexte from hugging face with a tokenizer create from scratch also. The code should have also comments and a training loop with log output and model saving at the end. | prompter | en | 3 | true | false | null | false | null | {
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514076f5-e492-4be8-9cef-6f4b7d497234 | c82d0c8c-9652-4427-bc3c-f4bdf662cf28 | cce47b2b-80d4-45de-9fc2-2a6b959c856f | 2023-04-10T04:57:37.035857+00:00 | Building a Transformer Neural Network from scratch using Python and PyTorch requires significant time, resources, and computer science knowledge. I can provide you with the general steps as guide, however this merely a general outline:
1. Install PyTorch and Hugging Face Transformers library
You can install PyTorch and Hugging Face Transformers using the following commands:
~~~
!pip install torch
!pip install transformers
~~~
2. Prepare the dataset
For this task, we will use the Wikipedia dataset from Hugging Face. You can load the dataset using the following code:
~~~
from transformers import AutoTokenizer, LineByLineTextDataset
tokenizer = AutoTokenizer.from_pretrained("tokenizer_name")
dataset = LineByLineTextDataset(
tokenizer=tokenizer,
file_path="path_to_wikipedia_text_file"
)
~~~
3. Define the model architecture
The Transformer Neural Network consists of an encoder and decoder. The encoder processes the input data, and the decoder produces the output. Here is a sample code for defining the model architecture:
~~~
import torch.nn as nn
from transformers import AutoModel
class Transformer(nn.Module):
def __init__(self):
super(Transformer, self).__init__()
self.encoder = AutoModel.from_pretrained("model_name")
self.decoder = nn.Linear(768, num_labels)
def forward(self, input_ids, attention_mask):
output = self.encoder(input_ids, attention_mask=attention_mask)
output = output[0][:, 0, :]
output = self.decoder(output)
return output
~~~
4. Initialize the model and optimizer
After defining the model architecture, we need to initialize the model and optimizer. Here is a sample code for initializing the model and optimizer:
~~~
model = Transformer().to(device)
optimizer = torch.optim.AdamW(model.parameters(), lr=learning_rate)
~~~
5. Train the model
To train the model, we need to define a training loop that iteratively trains the model on batches of data. Here is a sample code for the training loop:
~~~
python
for epoch in range(num_epochs):
total_loss = 0
for batch in dataloader:
optimizer.zero_grad()
input_ids = batch['input_ids'].to(device)
attention_mask = batch['attention_mask'].to(device)
labels = batch['labels'].to(device)
outputs = model(input_ids, attention_mask)
loss = criterion(outputs, labels)
loss.backward()
optimizer.step()
total_loss += loss.item()
print("Epoch:", epoch+1, "Loss:", total_loss)
~~~
6. Save the model
After training the model, we need to save it to disk so that we can use it later for inference. Here is a sample code for saving the model:
~~~
torch.save(model.state_dict(), "model.pt")
~~~
Note: You will need to replace tokenizer_name, model_name, path_to_wikipedia_text_file, num_labels, device, learning_rate, num_epochs, dataloader, and criterion with the appropriate values based on your specific use case.
I hope this helps you understand the steps involved in building a Transformer Neural Network using Python and PyTorch. Feel free to ask if you have further questions, or need clarification about specifics. | assistant | en | 3 | true | false | 0 | false | null | {
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"obscene": 0.00024052360095083714,
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"insult": 0.0002497963432688266,
"threat": 0.00005871425673831254,
"sexual_explicit": 0.00003466439011390321
} | c82d0c8c-9652-4427-bc3c-f4bdf662cf28 | ready_for_export | {
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aa12e926-be19-4740-9317-3ed4749158b0 | 514076f5-e492-4be8-9cef-6f4b7d497234 | 751a6cbf-bfb7-4e34-bdbf-874392cb702d | 2023-04-10T20:43:03.108833+00:00 | Write Python3 script to fine-tune GPT-Neo-125M model from text file using transformers module. | prompter | en | 3 | true | false | null | false | null | {
"toxicity": 0.00024147970543708652,
"severe_toxicity": 0.00005982588118058629,
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"identity_attack": 0.0001577796647325158,
"insult": 0.0003239064244553447,
"threat": 0.00006626892718486488,
"sexual_explicit": 0.00003667292185127735
} | c82d0c8c-9652-4427-bc3c-f4bdf662cf28 | ready_for_export | {
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],
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} | {
"name": [
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c0ca145a-af1b-4575-addc-4833a9d4f402 | c82d0c8c-9652-4427-bc3c-f4bdf662cf28 | a716d61e-6cec-4df5-a76c-545bf5766619 | 2023-04-10T04:33:06.016530+00:00 | Creating a complete Transformer Neural Network from scratch requires a substantial amount of code and explanation. I will provide a high-level overview of the steps required to accomplish this, but I won't be able to provide the complete code within the answer's character limit. Instead, I encourage you to study the references provided and follow tutorials to implement the code step-by-step.
1. **Import required libraries**: Import necessary PyTorch modules and other required libraries.
```python
import torch
import torch.nn as nn
import torch.optim as optim
from torch.utils.data import DataLoader, Dataset
import math
import time
import os
from huggingface_datasets import load_dataset
```
2. **Create Tokenizer**: Implement a tokenizer from scratch or use an existing one like `ByteLevelBPETokenizer` from the `tokenizers` library. Train the tokenizer on the Wikipedia dataset and save the vocabulary.
```python
# Example of training a ByteLevelBPETokenizer
from tokenizers import ByteLevelBPETokenizer
from tokenizers.trainers import BpeTrainer
```
3. **Prepare the dataset**: Load the Wikipedia dataset using the `huggingface_datasets` library, preprocess it, and create a PyTorch Dataset and DataLoader.
```python
dataset = load_dataset('wikipedia', '20200501.en')
# Preprocess and tokenize the dataset, then create a Dataset and DataLoader
```
4. **Create the Transformer Model**: Implement the Transformer model using PyTorch, including the layers like Multi-Head Attention, Position-wise Feed-Forward Network, Positional Encoding, Layer Normalization, etc.
```python
class TransformerModel(nn.Module):
# Implement the necessary layers and methods
```
5. **Training loop**: Implement the training loop, including the optimizer, loss function, and training/validation steps. Log the output at each step, and save the model checkpoint.
```python
def train(model, iterator, optimizer, criterion, clip):
# Training loop
def evaluate(model, iterator, criterion):
# Validation loop
```
6. **Main function**: Instantiate the model, dataset, optimizer, and criterion, then run the training loop.
```python
if __name__ == "__main__":
# Instantiate the model, dataset, optimizer, and criterion
# Run the training loop and save the model
```
Due to the complexity of this task, I recommend following these resources for a step-by-step guide on implementing a Transformer model:
1. [The Annotated Transformer](http://nlp.seas.harvard.edu/2018/04/03/attention.html) - A well-explained implementation of the Transformer model in PyTorch.
2. [Hugging Face Tokenizers](https://huggingface.co/docs/tokenizers/python/latest/) - A guide to using the Hugging Face `tokenizers` library.
3. [Hugging Face Datasets](https://huggingface.co/docs/datasets/) - A guide to loading and using datasets from the Hugging Face `datasets` library.
4. [PyTorch Tutorials](https://pytorch.org/tutorials/) - Official PyTorch tutorials for understanding and working with PyTorch. | assistant | en | 3 | true | false | 1 | false | null | {
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"insult": 0.00022903320495970547,
"threat": 0.000051746872486546636,
"sexual_explicit": 0.0000348349531122949
} | c82d0c8c-9652-4427-bc3c-f4bdf662cf28 | ready_for_export | {
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} |
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