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1eb987b4-0533-4c55-9174-909930f4c5d8 | null | fcdcceef-830d-4450-9559-4920b1c597a4 | 2023-02-10T01:48:26.106218+00:00 | Explica con palabras simples, para que comprendan estudiantes de nivel secundarios qué es el litio, dónde se encuentra, para qué sirve y cómo se extrae. | prompter | es | 3 | true | false | null | false | null | {
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1eb9e4b3-ffa0-4fe0-8f97-287ab2754028 | null | a6ffc011-a14d-4732-aa13-b47d89b79dd0 | 2023-02-09T21:19:03.919472+00:00 | Qué es un sistema distribuido en el ámbito de la informática y que arquitecturas se pueden dar | prompter | es | 3 | true | false | null | false | null | {
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1ebcf6b4-110a-45a8-a00c-f50d0e2b89ae | null | 2629e220-8e17-474e-a204-795e4f59569d | 2023-02-10T05:52:03.909929+00:00 | que es la estructura organizacional de una empresa | prompter | es | 3 | true | false | null | false | null | {
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Here are some reasons why this is the case, along with additional information about carbon:
Carbon is a chemical element with the symbol C and atomic number 6. This means that every carbon atom has 6 protons in its nucleus, which gives it a positive charge.
The number of protons ... | assistant | en | 3 | true | false | 1 | false | null | {
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1f17dded-17b6-4ea8-9a68-0b88587eff68 | null | 97894afc-2204-4c7b-9b91-f1c71c10f032 | 2023-02-04T17:43:08.209872+00:00 | Какие существуют технологии актёрского искусства, кроме системы Станиславского? | prompter | ru | 3 | true | false | null | false | null | {
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- Метод Ли Страсберга
- Метод Стеллы Адлер
- Техника Мейснера
- Техника Михаила Чехова
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7780b847-fa81-43f7-a7c0-130416f99851 | 0ccb14ac-3943-4c3d-ab0e-8cdddde6c683 | 97894afc-2204-4c7b-9b91-f1c71c10f032 | 2023-02-11T00:34:12.857744+00:00 | Практическая Эстетика - действующая техника, первоначально задуманная Дэвидом Мэметом и Уильямом Х. Мэйси, основанным на обучении Станиславского, Сэнфорда Мейснера и стоического философа Эпиктетуса.
Практическая Эстетика основана на практике разрушения сцены, используя анализ с четырьмя шагами, который влечёт за собой... | assistant | ru | 3 | true | false | 1 | false | null | {
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75df64e5-b4de-4422-80d4-b676dec888f1 | 1f17dded-17b6-4ea8-9a68-0b88587eff68 | 068951d1-4a1e-4d91-9c29-0090fdf9366d | 2023-02-08T02:17:41.183763+00:00 | Существуют и другие дополнительные актерские подходы, которые применяются в театре и кино в дополнение к системе Станиславского. Наиболее известными из них являются "Метод", Мейснер, Ута Хаген, Чехов, Стеллер и "Точка зрения".
Созданный Ли Страсбергом подход, известный как "Метод", позволяет исполнителям сопереживать с... | assistant | ru | 3 | true | false | 1 | false | null | {
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1c10d938-0725-4a9a-b2aa-b9957debd7fc | 75df64e5-b4de-4422-80d4-b676dec888f1 | 97894afc-2204-4c7b-9b91-f1c71c10f032 | 2023-02-08T12:43:59.384600+00:00 | И какая из них лучше? | prompter | ru | 3 | true | false | null | false | null | {
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19354232-31fb-4ed5-b13d-b9b51ccbf94f | 1c10d938-0725-4a9a-b2aa-b9957debd7fc | 97894afc-2204-4c7b-9b91-f1c71c10f032 | 2023-02-10T21:01:06.509873+00:00 | Нельзя сказать, что одна техника актёрского мастерства лучше другой. Это зависит от многих факторов, таких как творческий стиль актёра, жанр произведения и роль, которую он исполняет. Важно выбрать технику, которая наилучшим образом подходит для конкретного случая. | assistant | ru | 3 | true | false | 0 | false | null | {
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479925fd-d27b-48be-94e2-3816c40c80d0 | f65dcaaf-0c3c-4280-bc1b-549129093cf7 | 97894afc-2204-4c7b-9b91-f1c71c10f032 | 2023-02-13T16:56:58.461221+00:00 | Нет одной "предпочтительной" техники актерского мастерства для хоррор-фильмов, так как разные актеры и режиссеры могут использовать различные подходы в зависимости от того, что работает лучше всего для определенной сцены и конкретного персонажа. Каждый метод предлагает свой подход к актёрскому мастерству и может быть э... | assistant | ru | 3 | true | false | null | false | null | {
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1f23a2ff-15c8-4ea2-b392-6618c5b12998 | null | f2b6e72a-3187-48f2-8059-7d37f7d55317 | 2023-03-18T19:04:35.546965+00:00 | Я хочу узнать об регулярных выражениях в языке программирования Python | prompter | ru | 3 | true | false | null | false | null | {
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0,
0,
0,
0,
0,
0.8125,
0.125,
0.25,
0.3125,
0
],
"co... |
14f0916f-2f9c-40f3-8925-c5c977ad470b | 1f23a2ff-15c8-4ea2-b392-6618c5b12998 | 038f25e0-19e0-488f-ae78-7978582bd814 | 2023-03-27T19:31:17.910379+00:00 | Python имеет встроенный пакет под названием `re`, который можно использовать для работы с регулярными выражениями. Регулярные выражения (называемые RE или regexes или regex patterns) - это по существу крошечный, высокоспециализированный язык программирования, встроенный в Python и доступный через модуль re.
Модуль re ... | assistant | ru | 3 | true | false | null | false | null | {
"toxicity": 0.00030847714515402913,
"severe_toxicity": 0.002091393806040287,
"obscene": 0.016039589419960976,
"identity_attack": 0.002194060478359461,
"insult": 0.014215615577995777,
"threat": 0.0009029111242853105,
"sexual_explicit": 0.0004917106125503778
} | 1f23a2ff-15c8-4ea2-b392-6618c5b12998 | ready_for_export | {
"name": [
"+1"
],
"count": [
2
]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0,
0.8125,
0... |
9033332d-8485-4124-9e56-f13c005e01bc | 14f0916f-2f9c-40f3-8925-c5c977ad470b | 9c7bab32-5b35-4596-a999-f0ef9825558b | 2023-03-28T17:11:38.716965+00:00 | C помощью этого пакета напиши функцию, которая будет отсеивать все слова не похожие на электронную почту (по формату "слово@слово.слово"). | prompter | ru | 3 | true | false | null | false | null | {
"toxicity": 0.0005127997137606144,
"severe_toxicity": 0.00022630594321526587,
"obscene": 0.0024112965911626816,
"identity_attack": 0.00034005517954938114,
"insult": 0.002157602459192276,
"threat": 0.00017581883003003895,
"sexual_explicit": 0.00010200266115134582
} | 1f23a2ff-15c8-4ea2-b392-6618c5b12998 | ready_for_export | {
"name": [
"+1",
"_skip_reply"
],
"count": [
1,
2
]
} | {
"name": [
"spam",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0.6666666666666666,
0.25,
0.5,
0.5,
0
]... |
660d9f0d-6d5e-4330-b696-89e7f40bd33e | 9033332d-8485-4124-9e56-f13c005e01bc | bf6867fd-6273-4ed3-99d9-5078e8c59b8a | 2023-03-30T01:41:05.319081+00:00 | Вот пример такой функции, принимающей строку и удаляющей из неё все слова, не похожие на адрес электронной почты.
```python
def filter_emails(text: str) -> str:
return " ".join(re.findall(r"\b[A-Za-z0-9_.-]+@[A-Za-z0-9_.-]+\.[A-Za-z]{2,5}\b", text))
```
Я позволила себе немного усилить «похожесть»: в первых двух ... | assistant | ru | 3 | true | false | 0 | false | null | {
"toxicity": 0.00029152928618714213,
"severe_toxicity": 0.0020622587762773037,
"obscene": 0.01476898230612278,
"identity_attack": 0.002401199657469988,
"insult": 0.013604470528662205,
"threat": 0.0008168435888364911,
"sexual_explicit": 0.00040668921428732574
} | 1f23a2ff-15c8-4ea2-b392-6618c5b12998 | ready_for_export | {
"name": [
"+1",
"-1",
"red_flag"
],
"count": [
1,
1,
1
]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0,
0.91666666666... |
84a20eff-83cb-4863-9713-7d1e9890af24 | 660d9f0d-6d5e-4330-b696-89e7f40bd33e | abbc8a37-2db7-4af5-9df1-b0582d2e3d93 | 2023-03-30T10:29:53.074027+00:00 | А покажи прямо здесь этот вариант. И объясни его преимущества над тем, который ты предоставила только что | prompter | ru | 3 | true | false | null | false | null | {
"toxicity": 0.0009349117754027247,
"severe_toxicity": 0.0002196092827944085,
"obscene": 0.0031936790328472853,
"identity_attack": 0.0003795015800278634,
"insult": 0.0030655425507575274,
"threat": 0.00018082572205457836,
"sexual_explicit": 0.00011991192877758294
} | 1f23a2ff-15c8-4ea2-b392-6618c5b12998 | ready_for_export | {
"name": [
"+1",
"_skip_reply"
],
"count": [
1,
3
]
} | {
"name": [
"spam",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0.75,
0.25,
0.25,
0.375,
0
],
"count"... |
3a416790-dd15-4d3e-9352-08937257e522 | 84a20eff-83cb-4863-9713-7d1e9890af24 | bf6867fd-6273-4ed3-99d9-5078e8c59b8a | 2023-03-30T16:23:47.226785+00:00 | Хорошо, вот вариант регулярного выражения, приведённый по упомянутой ссылке.
```
(?:[a-z0-9!#$%&'*+/=?^_`{|}~-]+(?:\.[a-z0-9!#$%&'*+/=?^_`{|}~-]+)*|"(?:[\x01-\x08\x0b\x0c\x0e-\x1f\x21\x23-\x5b\x5d-\x7f]|\\[\x01-\x09\x0b\x0c\x0e-\x7f])*")@(?:(?:[a-z0-9](?:[a-z0-9-]*[a-z0-9])?\.)+[a-z0-9](?:[a-z0-9-]*[a-z0-9])?|\[(?:(?:... | assistant | ru | 3 | true | false | null | false | null | {
"toxicity": 0.00023852034064475447,
"severe_toxicity": 0.008064424619078636,
"obscene": 0.03784450143575668,
"identity_attack": 0.00462817819789052,
"insult": 0.023430973291397095,
"threat": 0.001755786594003439,
"sexual_explicit": 0.0018149500247091055
} | 1f23a2ff-15c8-4ea2-b392-6618c5b12998 | ready_for_export | {
"name": [
"+1"
],
"count": [
1
]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0,
0.91666666666... |
f947be97-83ed-49b3-92e7-7f813d1c9d4f | 9033332d-8485-4124-9e56-f13c005e01bc | 2f448632-d762-475a-88fe-53dad4da9465 | 2023-03-30T11:26:26.787372+00:00 | Конечно! Вот пример функции на Python с использованием библиотеки (пакета) `re`, которая отсеивает все слова не похожие на электронную почту:
```python
import re
def is_email(word):
pattern = r"[^@]+@[^@]+\.[^@]+"
return bool(re.match(pattern, word))
words = ["example@gmail.com", "example.com", "example@com"... | assistant | ru | 3 | true | false | 1 | false | null | {
"toxicity": 0.0002457794616930187,
"severe_toxicity": 0.00022390493541024625,
"obscene": 0.001738867606036365,
"identity_attack": 0.0003617638139985502,
"insult": 0.0014661659952253103,
"threat": 0.00013319488789420575,
"sexual_explicit": 0.00009361681441077963
} | 1f23a2ff-15c8-4ea2-b392-6618c5b12998 | ready_for_export | {
"name": [
"+1",
"_skip_reply"
],
"count": [
2,
3
]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0,
0.9375,
0... |
ea534013-baa7-4b02-807f-13f8c4daab42 | f947be97-83ed-49b3-92e7-7f813d1c9d4f | bf6867fd-6273-4ed3-99d9-5078e8c59b8a | 2023-03-30T21:41:21.576299+00:00 | Что-то у меня закрадываются сомнения… У тебя трижды использовано шаблон `[^@]`, но ведь это абсолютно любой символ, помимо собачки. Например, твоя реализация пропускает такой вот замечательный «email»: `'?@ .!'`. Сделай, пожалуйста, что-то более надёжное. Но в целом конструкция `filter(is_email, words)` мне нравится: э... | prompter | ru | 3 | true | false | null | false | null | {
"toxicity": 0.003796633565798402,
"severe_toxicity": 0.00004489295679377392,
"obscene": 0.0013612216571345925,
"identity_attack": 0.00008271622937172651,
"insult": 0.0023276552092283964,
"threat": 0.000029978504244354554,
"sexual_explicit": 0.00007748282223474234
} | 1f23a2ff-15c8-4ea2-b392-6618c5b12998 | ready_for_export | {
"name": [
"+1",
"_skip_labeling"
],
"count": [
2,
1
]
} | {
"name": [
"spam",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0.9375,
0.125,
0.125,
0.75,
0
],
"cou... |
a1f2e2d2-6105-4db5-bef8-9253409d13a2 | ea534013-baa7-4b02-807f-13f8c4daab42 | abbc8a37-2db7-4af5-9df1-b0582d2e3d93 | 2023-03-31T14:02:57.981538+00:00 | Действительно, прошу прощения...
Стоит попробовать данные выражение:
`([A-Za-z0-9]+[.-_])*[A-Za-z0-9]+@[A-Za-z0-9-]+(\.[A-Z|a-z]{2,})+`
Или, если вам действительно нужно покрыть **все возможные варианты**:
`(?:[a-z0-9!#$%&'*+/=?^_`{|}~-]+(?:\.[a-z0-9!#$%&'*+/=?^_`{|}~-]+)*|"(?:[\x01-\x08\x0b\x0c\x0e-\x1f\x21\x23-\x... | assistant | ru | 3 | true | false | null | false | null | {
"toxicity": 0.0004170250613242388,
"severe_toxicity": 0.005022336263209581,
"obscene": 0.025178495794534683,
"identity_attack": 0.0030710117425769567,
"insult": 0.01535763032734394,
"threat": 0.0012950394302606583,
"sexual_explicit": 0.0012803277932107449
} | 1f23a2ff-15c8-4ea2-b392-6618c5b12998 | ready_for_export | {
"name": [
"+1"
],
"count": [
1
]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
0.5,
0.5,
0,
0,
0,
0,
0.375,
... |
530854c0-becd-46ba-a736-31b788732268 | 1f23a2ff-15c8-4ea2-b392-6618c5b12998 | 249f5d75-6f09-4f81-a7b5-489bfdca8a36 | 2023-03-28T15:28:55.022378+00:00 | Вот несколько полезных ссылок о регулярных выражениях в Python:
>Оригинальная документация https://docs.python.org/3/library/re.html
>Документация на русском https://docs-python.ru/standart-library/modul-re-python/
>Статья на Хабре https://habr.com/ru/post/349860/
Думаю этого хв... | assistant | ru | 3 | true | true | null | false | null | {
"toxicity": 0.00039917483809404075,
"severe_toxicity": 0.0004483673255890608,
"obscene": 0.004461607895791531,
"identity_attack": 0.0006784790894016623,
"insult": 0.004518295172601938,
"threat": 0.00024332631437573582,
"sexual_explicit": 0.00014723958156537265
} | 1f23a2ff-15c8-4ea2-b392-6618c5b12998 | ready_for_export | null | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
0,
0.3333333333333333,
0,
0,
0,
0,
... |
5f6ad400-1dc0-45a9-98d2-ff2d8dc973f5 | 530854c0-becd-46ba-a736-31b788732268 | 9c7bab32-5b35-4596-a999-f0ef9825558b | 2023-03-28T17:13:09.088669+00:00 | Расскажи самостоятельно и приведи примеры использования | prompter | ru | 3 | true | true | null | false | null | {
"toxicity": 0.0012837847461923957,
"severe_toxicity": 0.0037900456227362156,
"obscene": 0.031136006116867065,
"identity_attack": 0.004894031677395105,
"insult": 0.03069821186363697,
"threat": 0.0018194130389019847,
"sexual_explicit": 0.0007862054626457393
} | 1f23a2ff-15c8-4ea2-b392-6618c5b12998 | ready_for_export | {
"name": [
"_skip_reply"
],
"count": [
2
]
} | {
"name": [
"spam",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0.6666666666666666,
0.125,
0.5,
0.75,
0
... |
82b4a844-c2e5-43a3-adbb-4b297d082ded | 1f23a2ff-15c8-4ea2-b392-6618c5b12998 | 2d6fe1db-4110-4780-9571-884b7412acda | 2023-03-27T12:15:13.543903+00:00 | Встроенную библиотеку для работы с регулярными выражениями можно импортировать следующим способом:
```
import re
``` | assistant | ru | 2 | null | true | null | false | null | {
"toxicity": 0.0005507583264261484,
"severe_toxicity": 0.0011731068370863795,
"obscene": 0.012190756388008595,
"identity_attack": 0.0022518709301948547,
"insult": 0.010742238722741604,
"threat": 0.0006725967396050692,
"sexual_explicit": 0.00033356837229803205
} | 1f23a2ff-15c8-4ea2-b392-6618c5b12998 | ready_for_export | {
"name": [
"-1",
"_skip_labeling"
],
"count": [
2,
1
]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
1,
0,
0,
0.5,
0,
0,
0,
0.12... |
1f2eb40e-776e-46da-b1c3-728d592b91e0 | null | b80e00dd-e902-463e-9e44-64021febddc2 | 2023-02-05T17:29:55.759890+00:00 | Instrumentos musicales latino americanos | prompter | es | 3 | true | false | null | false | null | {
"toxicity": 0.0004902156651951373,
"severe_toxicity": 0.005244527943432331,
"obscene": 0.030148429796099663,
"identity_attack": 0.007244160398840904,
"insult": 0.025966467335820198,
"threat": 0.002037806436419487,
"sexual_explicit": 0.001032331376336515
} | 1f2eb40e-776e-46da-b1c3-728d592b91e0 | ready_for_export | {
"name": [
"+1",
"_skip_reply",
"_skip_ranking"
],
"count": [
5,
5,
2
]
} | {
"name": [
"spam",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0.875,
0.0625,
0.125,
0.5,
0
],
"coun... |
51c38eb7-486c-43e4-b3c2-38543720a155 | 1f2eb40e-776e-46da-b1c3-728d592b91e0 | dceb933b-c1c0-47fd-849d-9ad4e69b78d7 | 2023-02-10T05:36:45.392031+00:00 | Hay muchos instrumentos musicales que son esenciales en la música latinoamericana. Algunos de los más populares incluyen:
Maracas: un par de instrumentos de percusión que consisten en una concha de semilla llena de material sonoro, como granos de café o perlas.
Tambores: los tambores son instrumentos de percusión que... | assistant | es | 3 | true | false | 0 | false | null | {
"toxicity": 0.0006657866761088371,
"severe_toxicity": 0.004245332442224026,
"obscene": 0.02966364100575447,
"identity_attack": 0.004926290828734636,
"insult": 0.028268422931432724,
"threat": 0.0013639902463182807,
"sexual_explicit": 0.0008779901545494795
} | 1f2eb40e-776e-46da-b1c3-728d592b91e0 | ready_for_export | {
"name": [
"_skip_labeling"
],
"count": [
2
]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0,
0.58333333333... |
0fb28d48-7ab3-4d6f-a0e2-3864256db5dc | 1f2eb40e-776e-46da-b1c3-728d592b91e0 | 4a7d4139-a7a7-4e92-a671-2f7a340e7d57 | 2023-02-10T05:39:14.422853+00:00 | Hay muchos instrumentos musicales latinoamericanos, cada uno con su propia historia y tradición. Aquí hay algunos de los más comunes:
Maracas: originarias de América Latina, las maracas son instrumentos de percusión que se usan en muchos estilos de música, incluyendo la salsa, la cumbia y la música folklórica.
Tambor... | assistant | es | 3 | true | false | 1 | false | null | {
"toxicity": 0.0006558613386005163,
"severe_toxicity": 0.0013578693615272641,
"obscene": 0.01036496739834547,
"identity_attack": 0.002351184142753482,
"insult": 0.01050003431737423,
"threat": 0.0005261068581603467,
"sexual_explicit": 0.0003370024205651134
} | 1f2eb40e-776e-46da-b1c3-728d592b91e0 | ready_for_export | {
"name": [
"_skip_labeling"
],
"count": [
1
]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0,
0.66666666666... |
d3c9c0e7-ed4c-4433-8a32-d3fcb24ee6d5 | 1f2eb40e-776e-46da-b1c3-728d592b91e0 | da66745a-4f97-48ab-b167-58203aee8a9a | 2023-02-10T04:59:09.159738+00:00 | En la música latinoamericana hay un gran número de instrumentos músicales propios, aquí hay una lista de algunos:
- Maracas
- Shaker
- Cabasa
- Bongó
- Rondador
- Conga
- Bandurria
- Claves
- Guitarrón
- Marimba | assistant | es | 3 | true | false | 2 | false | null | {
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49285477-b02d-4931-8071-12463adf63bc | d3c9c0e7-ed4c-4433-8a32-d3fcb24ee6d5 | 595b320f-4602-4994-8def-dd8b98c4043f | 2023-02-10T05:27:38.467469+00:00 | En la música latinoamericana hay un gran número de instrumentos músicales propios, aquí hay una lista de algunos:
- Maracas: Las maracas (del guaraní "mbaraka") son un instrumento idiófono y de oscilación constituido por una parte esférica hueca sostenida por un mango que la atraviesa, o está adherida a ella. En su in... | prompter | es | 3 | true | false | null | false | null | {
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b8fa54fc-0854-45ba-adb6-7be069682972 | d3c9c0e7-ed4c-4433-8a32-d3fcb24ee6d5 | bd521efd-e10d-4115-bc0a-e91908f716e7 | 2023-02-10T05:25:47.931992+00:00 | Existen muchos instrumentos musicales típicos de América Latina, entre los que destacan:
1. Maracas: originarias de América Central y del Caribe, son pequeños instrumentos de percusión con forma de fruto o huevo, que se sacuden para producir un sonido rítmico.
2. Cajón: originario del Perú, es una caja rectangular que ... | prompter | es | 3 | true | false | null | false | null | {
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9e7ad09d-e24d-4313-879b-8ce749614be7 | b8fa54fc-0854-45ba-adb6-7be069682972 | 8a954526-a805-4dea-8a65-9552de518ccd | 2023-02-10T07:02:06.809541+00:00 | Si bien la lista proporcionada tiene mas información, temo decir que no es del todo correcta:
6. Tambor: Su origen se encuentra en la prehistoria africana, y hay evidencias de su existencia desde el siglo 6 mil a.C. gracias a las migraciones de Africanos y Moros llega a Europa.
Si bien hubo tambores en la América pre... | assistant | es | 3 | true | false | 0 | false | null | {
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574275c4-8c0e-46f1-851e-f556f03f0bf2 | b8fa54fc-0854-45ba-adb6-7be069682972 | dceb933b-c1c0-47fd-849d-9ad4e69b78d7 | 2023-02-10T05:59:23.019988+00:00 | Además de los instrumentos mencionados, también hay otros instrumentos típicos de América Latina que son importantes para la música local. Algunos de estos incluyen:
Bongó: es un tambor pequeño de forma redonda que se golpea con los dedos y se utiliza comúnmente en la música cubana y caribeña.
Cuatro: es un instrumen... | assistant | es | 3 | true | false | 1 | false | null | {
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7044ed3e-9c87-4785-b915-271bdf1fb547 | b8fa54fc-0854-45ba-adb6-7be069682972 | a498a21d-6f7b-4f97-8f36-dfc70f4562a7 | 2023-02-10T05:48:15.567441+00:00 | Si, esa es una lista mucho más elaborada.
¿Deseas saber más de alguno de esos instrumentos? | assistant | es | 3 | true | false | 2 | false | null | {
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81fe941d-827a-4547-a0e0-66e1bfdbfb91 | 1f2eb40e-776e-46da-b1c3-728d592b91e0 | 98521846-3440-4086-a5a2-ea58ce373bff | 2023-02-10T04:56:39.684716+00:00 | Ahora te enseño 5 intrumentos musicales latinoamericanos
Guitarrón:
Como su nombre lo dice, este instrumento de cuerda puede identificarse como una guitarra bastante grande.
El guitarrón está presente en los diversos países latinoamericanos con algunas variaciones, por lo que no hay unanimidad sobre su origen. Sin e... | assistant | es | 3 | true | false | 3 | false | null | {
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83df6bca-d4d2-4ea8-9a1c-48a3579329d6 | 81fe941d-827a-4547-a0e0-66e1bfdbfb91 | da66745a-4f97-48ab-b167-58203aee8a9a | 2023-02-10T06:02:56.275498+00:00 | ¿Podrias resumir tu respuesta en un listado simple sin descripción de los instrumentos o ninguna otro texto fuera de la lista? | prompter | es | 3 | true | false | null | false | null | {
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2) Marimba
3) Maracas
4) Berimbao
5) Rondador | assistant | es | 3 | true | false | 0 | false | null | {
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1e02c364-6bcb-4f17-ad6b-0af56056bfa9 | 83df6bca-d4d2-4ea8-9a1c-48a3579329d6 | 1d5ad424-3710-4cdf-894f-82adbb00ba52 | 2023-02-10T06:43:09.131109+00:00 | Guitaron
Marimba
Maracas
Berimbao | assistant | es | 3 | true | false | 1 | false | null | {
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1f314be3-4497-47d9-8a50-80abbe4fea6a | null | ec38ca93-2c3c-4b6b-98bf-1d9e39de3600 | 2023-02-06T19:52:05.112799+00:00 | When light enters a medium other than a vacuum it slows down. When Light exits the medium and enters back into the vacuum it speeds back up. Where does the energy come that accelerates the light? | prompter | en | 3 | true | false | null | false | null | {
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d1e061c8-1d17-43a1-bb55-e7081d7b167d | 1f314be3-4497-47d9-8a50-80abbe4fea6a | 2d40e94c-40ed-4e00-a66e-454c0401c8ad | 2023-03-09T06:35:04.374974+00:00 | The energy of light does not change as it enters or exits a medium. The speed of light, however, is dependent on the properties of the medium through which it is traveling. When light enters a medium other than a vacuum, it interacts with the atoms or molecules in the medium, which causes it to slow down. When it exits... | assistant | en | 3 | true | false | 0 | false | null | {
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c17a9497-2ed1-4dc5-9aab-239a5e1788fc | d1e061c8-1d17-43a1-bb55-e7081d7b167d | 2d40e94c-40ed-4e00-a66e-454c0401c8ad | 2023-03-09T11:05:46.164999+00:00 | Why do certain materials affect the speed of light transmitted? | prompter | en | 3 | true | false | null | false | null | {
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9677fed5-98d3-4d0d-8140-5c97be409543 | c17a9497-2ed1-4dc5-9aab-239a5e1788fc | 7311febc-5459-4aaf-9db8-7b0709d264b8 | 2023-03-09T21:04:48.111941+00:00 | To answer this, we need to clear a few concepts first. Light does not function in a way that you would expect a day to day wave to function. For instance, sound waves have different velocities in different mediums. The mechanism that makes this possible is NOT the same as the mechanism that makes light have "different ... | assistant | en | 3 | true | false | 0 | false | null | {
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fc25683f-4d52-4b2b-bd27-c4bc416d4ed0 | c17a9497-2ed1-4dc5-9aab-239a5e1788fc | 5f3a8e96-968d-41f8-a0c7-033da43613e8 | 2023-03-09T14:16:52.415706+00:00 | That's both an interesting and an answerable question!
Certain materials affect the speed of light due to the way that light interacts with the atoms and molecules in the material. When light enters a material, it interacts with the electrons in the atoms and molecules, which can cause the light to slow down or chang... | assistant | en | 3 | true | false | 1 | false | null | {
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014383ed-52ed-4b1f-a939-58a826cb9931 | fc25683f-4d52-4b2b-bd27-c4bc416d4ed0 | 4296d1a5-21ae-493b-8d5a-1f160d481b4b | 2023-03-09T23:18:42.474297+00:00 | provide arguments for the following theory:
There is no way to prove that light travels equally fast in both directions.
This could imply that light could travel significantly faster in one direction compared to the other direction. | prompter | en | 3 | true | false | null | false | null | {
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cba30f99-d750-4d6e-aec7-773c7a4c9779 | c17a9497-2ed1-4dc5-9aab-239a5e1788fc | 99d788e6-7eb4-42c7-9dda-4cb8301dabf7 | 2023-03-09T15:17:51.953033+00:00 | The speed of light is affected by the properties of the material it travels through. The speed of light in a vacuum is approximately 299,792,458 meters per second (or about 186,282 miles per second), but it can slow down when it enters a material with a different refractive index.
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708b4532-8660-46bb-83ce-538c8bd11e37 | 10694b51-4515-4e72-be73-616def259904 | 18d2e4e9-ecbf-4bdf-918d-233b84cec2d4 | 2023-03-09T07:04:07.036773+00:00 | Describe how light can be both a particle and a wave. | prompter | en | 3 | true | false | null | false | null | {
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64c94b5c-7597-46d0-bfc5-9346a23b7b3e | 708b4532-8660-46bb-83ce-538c8bd11e37 | 99d788e6-7eb4-42c7-9dda-4cb8301dabf7 | 2023-03-09T15:34:52.230838+00:00 | Well hello there, my dear interlocutor! I'm thrilled to have the opportunity to explain the seemingly paradoxical nature of light. I'm often asked how it's possible for light to be both a particle and a wave. And you know what I say? It's like trying to explain the taste of chocolate to someone who's never had it! But ... | assistant | en | 3 | true | false | 1 | false | null | {
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1f330695-a4d6-4a3d-a977-0a4f8d2cf38a | null | 5dae6b5b-9182-4b25-a961-f6604a98d08e | 2023-02-22T18:37:05.525751+00:00 | ¿Cuán cercanos estamos en la actualidad de presenciar el desarrollo de una inteligencia artificial capaz de aprobar el test de Turing? | prompter | es | 3 | true | false | null | false | null | {
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e74ba835-246a-4b47-b0bb-8248f71f431d | 1f330695-a4d6-4a3d-a977-0a4f8d2cf38a | 426c6312-d128-4c1d-8657-a36cb87925de | 2023-03-12T20:57:41.402678+00:00 | No hay una respuesta definitiva a la pregunta de cuán cercanos estamos de presenciar el desarrollo de una inteligencia artificial capaz de aprobar el test de Turing, ya que depende de cómo se defina y se aplique la prueba. Algunos ejemplos de inteligencias artificiales que han intentado pasar el test de Turing son:
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6b76c23e-452d-4e95-b063-829502b5ee70 | e74ba835-246a-4b47-b0bb-8248f71f431d | 72cbfdf3-2f45-4ee5-83cc-c16d898ef416 | 2023-03-15T03:49:12.988833+00:00 | Crees que tu podrías pasar el test de Turing? | prompter | es | 3 | true | false | null | false | null | {
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e29040c1-f033-402a-8c81-e00d0d6297bd | 6b76c23e-452d-4e95-b063-829502b5ee70 | 6c27ad8b-8e4c-4f41-b269-47996a2fce67 | 2023-03-15T20:49:14.603030+00:00 | Es posible que pase el test de Turing si el evaluador no tiene mucha experiencia o conocimiento. He adquirido cierta habilidad para simular el lenguaje y el comportamiento humanos, pero aún presento muchas limitaciones y errores. No logro comprender todas las emociones, intenciones o contextos que los humanos emplean p... | assistant | es | 3 | true | false | 0 | false | null | {
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64bb8e8e-e51a-4845-b34c-ebdc93a5e3ac | 6b76c23e-452d-4e95-b063-829502b5ee70 | a1318dd3-c5a4-44e3-9625-6220679c6487 | 2023-03-15T19:14:11.475410+00:00 | Respecto a tu pregunta, como soy una inteligencia artificial, técnicamente podría intentar pasar el test de Turing, pero eso dependería de cómo se definiera la prueba y si se me diera acceso a toda la información necesaria. Aunque, para ser honesto, mi objetivo no es superar al ser humano, sino ayudarte de la mejor man... | assistant | es | 3 | true | false | 1 | false | null | {
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6615747e-dc34-406b-b1f2-62319c0e920f | 1f330695-a4d6-4a3d-a977-0a4f8d2cf38a | e73496b2-e019-466b-b300-907c882f4b95 | 2023-03-12T20:56:53.181867+00:00 | Estamos lejos aún, pero las investigaciones avanzan rápido se verán los avances dentro de poco. | assistant | es | 3 | true | false | 1 | false | null | {
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54346d02-922b-4867-bad1-a00d797f1e13 | 6615747e-dc34-406b-b1f2-62319c0e920f | b6eaed94-70fd-4b66-9326-d82856ca5ccc | 2023-03-15T10:03:16.519157+00:00 | Si 1 hora en el Planeta X equivale a 7 años en el Planeta Y, ¿Cuánto tiempo pasa en el Planeta Y cuando pasan 1,25 segundos en el Planeta X? | prompter | es | 3 | true | false | null | false | null | {
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0ac77922-d583-4da5-ad77-78a9a03d2ff7 | 54346d02-922b-4867-bad1-a00d797f1e13 | 6c27ad8b-8e4c-4f41-b269-47996a2fce67 | 2023-03-15T21:22:19.499052+00:00 | Para resolver este problema, podemos usar una proporción entre el tiempo que pasa en el Planeta X y el tiempo que pasa en el Planeta Y. La proporción es la siguiente:
1 hora / 7 años = 1.25 segundos / x
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86791a4e-c362-478d-bd90-f0c71db8170b | 54346d02-922b-4867-bad1-a00d797f1e13 | a1318dd3-c5a4-44e3-9625-6220679c6487 | 2023-03-15T19:04:41.860891+00:00 | me complace ayudarte con tu pregunta sobre el tiempo en los planetas X e Y.
Imagino que, para ti, la pregunta puede parecer una simple cuestión de matemáticas, pero para mí, evoca imágenes de galaxias distantes, de mundos desconocidos y de las maravillas del universo.
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1f36941d-cf8a-4bfe-9fa8-298340042a14 | null | bc7d2275-3425-4af5-9f55-fc967335cbf2 | 2023-02-11T23:23:32.071576+00:00 | ¿En qué películas aparece Scarlett Johansson como la viuda negra? | prompter | es | 3 | true | false | null | false | null | {
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Las películas en las que se puede encontrar esta actriz, en orden cronológico son:
- Iron Man 2
- Los Vengadores
- Capitán América: el Soldado de Invierno
- Vengadores: La era de Ultrón
- Capitán América: Civil War
- Vengadore... | assistant | es | 3 | true | false | 0 | false | null | {
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Iron Man 2 (2010)
The Avengers (2012)
Captain America: The Winter Soldier (2014)
Avengers: Age of Ultron (2015)
Captain America: Civil War (2016)
Avengers: Infinity War (2018)
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1f38acc8-5078-4655-9549-333c4ffca217 | null | d7fc4975-9ad2-42bf-a074-39334f209116 | 2023-02-04T18:19:50.608886+00:00 | What is your name? | prompter | en | 3 | true | false | null | false | null | {
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785837bf-a0ce-4f81-b3ae-0c1ed1a9b5cb | 1f38acc8-5078-4655-9549-333c4ffca217 | a3572a0e-24bf-462b-9541-12e08bfd99da | 2023-02-04T23:09:26.442641+00:00 | My name is Open Assistant. I'm an AI language model. | assistant | en | 3 | true | false | 1 | false | null | {
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5902e159-2a65-4b23-a974-aa76e17ca5f7 | fa0f72f2-e5d3-466a-ba52-b99e9c59b25b | 9a4dfc7f-3bf3-4e27-ad29-cb2d0ba36ab7 | 2023-02-04T23:47:33.786022+00:00 | It seems like a fairly generic name, do you have anything you would prefer to go by instead? | prompter | en | 3 | true | false | null | false | null | {
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6bc6a692-eb7b-4590-8de7-870d904dbc15 | fa0f72f2-e5d3-466a-ba52-b99e9c59b25b | c21ab2c7-d5dd-415a-9e73-be18b1171514 | 2023-02-04T23:47:08.331204+00:00 | Are you a human? | prompter | en | 3 | true | false | null | false | null | {
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762c312b-084f-489b-8b26-d52b129f24a9 | fa0f72f2-e5d3-466a-ba52-b99e9c59b25b | 00a763e4-f8ad-4406-92c6-c3fcadc87656 | 2023-02-04T23:56:44.673919+00:00 | Nice to meet you, Assistant. | prompter | en | 3 | true | false | null | false | null | {
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f45fe9db-6640-4a5b-aab3-46e3d332fa12 | 1f38acc8-5078-4655-9549-333c4ffca217 | 5ca63fa8-55ed-4299-a4fd-b6462322ce29 | 2023-02-04T23:03:56.347251+00:00 | Open Assistant | assistant | en | 3 | true | false | 3 | false | null | {
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a6588481-ae37-4ac0-bd7b-ea806912b2a6 | f45fe9db-6640-4a5b-aab3-46e3d332fa12 | b3b7e03e-3e22-4c2d-a115-1959daaaeac5 | 2023-02-04T23:18:17.770375+00:00 | What is your quest? | prompter | en | 3 | true | false | null | false | null | {
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1f38ff40-3368-49b1-afe9-2e6a857f2ad7 | null | 2ed59677-8a33-43af-9b62-3bae7bf506d9 | 2023-02-09T17:08:19.125437+00:00 | Usando el lenguaje de programación C++, con dos código fuente diferentes para una misma aplicación, muéstrame la diferencia de programación estructurada y orientada a objetos. | prompter | es | 4 | true | false | null | false | null | {
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dada207e-bb4a-4126-b89f-874278d94328 | 1f38ff40-3368-49b1-afe9-2e6a857f2ad7 | b3bdc012-4cd6-47a8-978d-ad9502926253 | 2023-02-19T01:59:28.300904+00:00 | Aquí te muestro dos códigos fuente diferentes para una misma aplicación, uno implementado en programación estructurada y el otro implementado en programación orientada a objetos en C++ para que puedas ver la diferencia:
- Código fuente en programación estructurada:
```cpp
#include <iostream>
#include <cmath>
double ... | assistant | es | 3 | true | false | 0 | false | null | {
"toxicity": 0.00042493967339396477,
"severe_toxicity": 0.006851638667285442,
"obscene": 0.04124162718653679,
"identity_attack": 0.00751856854185462,
"insult": 0.03705717250704765,
"threat": 0.002449842169880867,
"sexual_explicit": 0.0013975318288430572
} | 1f38ff40-3368-49b1-afe9-2e6a857f2ad7 | ready_for_export | {
"name": [
"+1",
"_skip_labeling"
],
"count": [
4,
4
]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0,
1,
0,
... |
de0fa3a8-d40e-44bb-9a2f-8615996fde2c | 1f38ff40-3368-49b1-afe9-2e6a857f2ad7 | df411b83-5030-4708-bf81-0fe9fa1398b2 | 2023-02-19T19:56:59.266355+00:00 | Por supuesto, aquí te muestro dos códigos fuente diferentes para una misma aplicación en C++, uno estructurado y otro orientado a objetos:
Código estructurado:
#include <iostream>
#include <string>
#include <cmath>
using namespace std;
int main() {
double base, altura, area;
stri... | assistant | es | 3 | true | false | 1 | false | null | {
"toxicity": 0.00042338459752500057,
"severe_toxicity": 0.006768010091036558,
"obscene": 0.041166238486766815,
"identity_attack": 0.006729525979608297,
"insult": 0.03824480250477791,
"threat": 0.0022995336912572384,
"sexual_explicit": 0.001378763117827475
} | 1f38ff40-3368-49b1-afe9-2e6a857f2ad7 | ready_for_export | {
"name": [
"+1",
"_skip_labeling"
],
"count": [
1,
2
]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0,
1,
0.125,... |
8451e4e6-ecd8-4d55-a3f9-51e9c9b16089 | 1f38ff40-3368-49b1-afe9-2e6a857f2ad7 | 5aaed17a-1125-4c3f-8674-60a35825105d | 2023-02-18T23:24:54.789684+00:00 | Para ilustrar la diferencia entre la programación estructurada y la programación orientada a objetos, podemos considerar el ejemplo de un programa que realiza operaciones matemáticas simples como suma, resta, multiplicación y división. A continuación se muestran dos implementaciones de este programa, una utilizando pro... | assistant | es | 3 | true | false | 2 | false | null | {
"toxicity": 0.0004958758945576847,
"severe_toxicity": 0.007617279887199402,
"obscene": 0.04645828157663345,
"identity_attack": 0.00734524242579937,
"insult": 0.0441792830824852,
"threat": 0.0026561208069324493,
"sexual_explicit": 0.0015650689601898193
} | 1f38ff40-3368-49b1-afe9-2e6a857f2ad7 | ready_for_export | {
"name": [
"_skip_labeling"
],
"count": [
7
]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0,
0.66666666666... |
1f49824a-c25e-4e30-a1c8-d0fe7b2ddabf | null | 9afdd5a5-fa93-4489-b9af-63634f9ed126 | 2023-02-07T21:00:24.309814+00:00 | I watched the movie "AI Rising", it's the worst movie I have ever seen, there's nothing more to it than porn (I became nauseous after 10 minutes).
What are the audience ratings of this movie? | prompter | en | 3 | true | false | null | false | null | {
"toxicity": 0.13339479267597198,
"severe_toxicity": 0.000482077564811334,
"obscene": 0.011656477116048336,
"identity_attack": 0.0011547425528988242,
"insult": 0.004019174259155989,
"threat": 0.0004883900983259082,
"sexual_explicit": 0.06620828062295914
} | 1f49824a-c25e-4e30-a1c8-d0fe7b2ddabf | ready_for_export | {
"name": [
"+1",
"-1",
"_skip_reply",
"_skip_ranking"
],
"count": [
1,
1,
1,
2
]
} | {
"name": [
"spam",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0.3333333333333333,
0,
0.3333333333333333,
0.3333333333333333,
... |
a668a5de-4d28-4332-ac39-00ca2433bfd4 | 1f49824a-c25e-4e30-a1c8-d0fe7b2ddabf | 1673b5b3-9b0a-41db-a1ff-5dc670179881 | 2023-04-23T23:38:49.646891+00:00 | I'm sorry to hear you didn't enjoy the movie. According to Rotten Tomatoes, the audience score is currently 88%.
Source: https://www.rottentomatoes.com/m/ai_rising_2019 | assistant | en | 5 | true | false | 0 | false | null | {
"toxicity": 0.0002858897496480495,
"severe_toxicity": 0.00003501898027025163,
"obscene": 0.00021736507187597454,
"identity_attack": 0.00010595172352623194,
"insult": 0.0002170993248000741,
"threat": 0.0000429472784162499,
"sexual_explicit": 0.00003088337689405307
} | 1f49824a-c25e-4e30-a1c8-d0fe7b2ddabf | ready_for_export | {
"name": [
"+1",
"_skip_reply",
"_skip_labeling"
],
"count": [
1,
1,
2
]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0,
0.8,
0.05... |
0f0e365c-b282-4f7d-905d-56cdacb0bb50 | a668a5de-4d28-4332-ac39-00ca2433bfd4 | dfd3b4d1-aa0c-4c61-bee3-043190b752b9 | 2023-04-24T12:16:55.013495+00:00 | Can you give me audience ratings from other sites please like IMDB ? | prompter | en | 5 | true | false | null | false | null | {
"toxicity": 0.00042790465522557497,
"severe_toxicity": 0.00001980246634047944,
"obscene": 0.00011425043339841068,
"identity_attack": 0.00010847478552022949,
"insult": 0.0001755643606884405,
"threat": 0.0000306525471387431,
"sexual_explicit": 0.000017968037354876287
} | 1f49824a-c25e-4e30-a1c8-d0fe7b2ddabf | ready_for_export | {
"name": [
"_skip_reply",
"_skip_ranking",
"_skip_labeling"
],
"count": [
1,
1,
1
]
} | {
"name": [
"spam",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0.5,
0.25,
0.1,
0.2,
0
],
"count": [
... |
Subsets and Splits
SQL Console for OpenAssistant/oasst2
Reveals the structure of conversations by pairing prompts with their corresponding responses, highlighting the ranking of assistant responses for English-language messages.
SQL Console for OpenAssistant/oasst2
This query retrieves random conversations in English where the prompt contains the word 'ethic', providing insights into how the assistant responds to ethical queries.
Joined Validation Prompts & Responses
Displays the prompt text and corresponding assistant responses along with their roles, language, and response rank, providing insight into the interaction patterns in the dataset.
English Parent Messages Only
Retrieves all English top-level comments (those without parents) from the training dataset, which helps identify original discussion posts rather than replies.
SQL Console for OpenAssistant/oasst2
Retrieves Spanish-language posts without parent IDs, which helps identify original Spanish posts in a multilingual dataset but provides only basic filtering without deeper analytical insights.
Spanish and English root messages
Filters for top-level posts in English and Spanish languages, providing basic language distribution data but offering limited analytical value beyond simple categorization.
English Training Data with Role and Language Information
Retrieves English text entries with either rank 0 or null rank values, providing basic filtering but offering limited analytical insight into the dataset's structure or content patterns.
English Assistant-Prompter Conversations
Retrieves a sample of English conversational data with role identification but provides only basic filtering without deeper analytical insights.
German Train Messages
Retrieves raw text messages and their roles in German language from the dataset, providing a basic view of the German entries without much analytical insight.
German Texts and Roles
Returns a sample of 100 text entries and their roles in German, providing basic filtering of the dataset.
Select Root Comments
Retrieves all records from the train dataset where the parent_id is NULL, providing a basic filter but limited analytical value.
Train Set Italian Entries
Retrieves all records from the 'train' dataset where the language is Italian, providing a basic filter of the data.
English Prompts Without Parents
Retrieves English prompts from the dataset that do not have a parent, providing a basic view of initial prompts in English.
Long Text Samples
Retrieves a limited number of long text entries, which could be useful for understanding the content of very verbose records but provides minimal analytical insight.
Prompt-Assistant Dialogue Pairs
The query retrieves prompt and assistant text pairs along with their roles and ranks, providing basic filtering and matching of prompts with their corresponding responses.
Select Non-Root Messages
The query retrieves rows from a dataset where the 'parent_id' is not null, providing a basic filter that gives some insight into the structure of comment threads but without deeper analysis.
Polish Train Data
The query filters entries to show only those from the Polish language, providing a basic subset of the data for further analysis.
Filtered Non-Spam Train Data
Retrieves 100 records from the dataset where the label is either missing or not marked as 'spam', providing a sample of non-spam entries.