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630996b5-7b8e-42d1-b321-5eb80a243935 | 8e786fe6-d545-4a58-a381-d06b7a98e587 | a5be7105-f1ea-4825-9437-688df2bc3b31 | 2023-10-30T13:57:21.189350+00:00 | You are welcome! I am glad i could help. | assistant | en | 3 | true | false | null | false | null | {
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02755dae-7bd8-4138-a333-8fe5c2038269 | null | d422936a-5a43-4a06-a128-ab2d92752149 | 2023-02-13T13:44:11.633060+00:00 | Dame una lista de los 3 mejores programas de dibujo digital y argumenta por qué son superiores | prompter | es | 3 | true | false | null | false | null | {
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757bf83b-2f00-4844-b240-a22d3950839c | 02755dae-7bd8-4138-a333-8fe5c2038269 | fdc89c81-d4a2-45df-9553-51715d7e1bcc | 2023-02-14T16:34:45.396775+00:00 | Que un programa sea mejor que otro depende de las preferencias de cada persona. Aun así puedo hacer una lista de 3 programas de dibujo digital que pueden ser bastante recomendables:
1. Krita: es un programa de dibujo digital gratuito y de código abierto diseñado para artistas profesionales. Está equipado con herramientas de dibujo y pintura avanzadas, así como soporte para diferentes formatos de archivo, incluyendo PSD, TIF, PNG y JPG. Dispone de una interfaz intuitiva y herramientas para controlar la profundidad de color, la saturación, el brillo y el contraste.
2. IInkscape: es un editor de gráficos vectoriales libre y de código abierto que te permite entre otras cosas, diseñar imágenes de calidad, básicas o complejas, crear y editar diagramas, líneas, gráficos, logotipos, cómics, folletos, entre otros, utilizar formas, trazos, texto, marcadores, clones, y otras herramientas de diseño, Trabajar en capas, así como Guardar el archivo en formato SVG (gráficos vectoriales escalables) logrando una imagen de alta resolución.
3. Corel Painter: es una aplicación de arte digital basada en tramas creada para simular con la mayor precisión posible la apariencia y el comportamiento de los medios tradicionales asociados con el dibujo , la pintura y el grabado . Está destinado a ser utilizado en tiempo real por artistas digitales profesionales como una herramienta creativa funcional.
Espero haberte ayudado. | assistant | es | 3 | true | false | 0 | false | null | {
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cda26f29-1564-47a2-a190-efac026b8845 | 02755dae-7bd8-4138-a333-8fe5c2038269 | c3206b69-9228-4b07-8a81-74c39b10ed4b | 2023-02-14T16:35:11.716365+00:00 | Photoshop: Photoshop es la herramienta más utilizada en el mundo del concept art y dibujo digital. Su versatilidad a la hora de hacer retoques a la imagen final, utilizar filtros, opciones de textura y máscaras lo convierte en el programa más utilizado en el entorno profesional. Al ser una herramienta muy utilizada, también cuenta con una comunidad muy grande y hay muchos vídeos y cursos gratuitos para aprender. Es de pago.
Gimp: Muy similar a Photoshop, pero gratis. La comunidad no es tan grande y la aplicación no cuenta con algunas herramientas más avanzadas que Photoshop si tiene. Sin embargo, para el dibujo digital, es tan capaz como Photoshop y el workflow o forma de trabajar es la misma.
Medibang paint pro: Este programa gratuito está específicamente creado para el dibujo digital, en concreto, el cómic y el manga. No cuenta con herramientas avanzadas para el uso de máscaras o para el retoque de imagen. Sin embargo, contiene muchos pinceles, fondos de viñetas, onomatopeyas, cuadros de diálogo, etc; Es decir, si estás buscando un programa para dibujar un cómic o con estilo manga, este sería el adecuado. | assistant | es | 3 | true | false | 1 | false | null | {
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cceb3aa1-8287-492b-af93-240daf494659 | 02755dae-7bd8-4138-a333-8fe5c2038269 | 139810ce-9f49-4563-be13-135cb3ca0979 | 2023-02-14T15:35:46.504941+00:00 | Krita: Es un programa de dibujo de libre y de código abierto, es completamente gratuito. Está creado por y para artistas que quieren ofrecer herramientas que no sean costosas ni abusivas con sus usuarios.
Photoshop: Es un programa de edición multiproposito ampliamente usado por artistas digitales para la creación de ilustraciones de manera profesional.
GIMP: Un programa de edición multiproposito de código abierto que puede ser usado tanto como de uso personal como de manera profesional. | assistant | es | 3 | true | false | 2 | false | null | {
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6d08ae9a-e5d3-42e5-b744-1e34f9824416 | 02755dae-7bd8-4138-a333-8fe5c2038269 | 80b5ed97-063f-4017-af72-b9dbc937eb54 | 2023-02-14T16:35:09.224560+00:00 | Claro estos son:
* Inkscape: Programa de escritorio de código abierto
* Adobe Ilustrator: Programa de escritorio privativo
* SVG-Edit: Aplicación para la web
Cada uno tiene ventajas y desventajas que debes evaluar, por lo que no puedo indicar cual es superior. | assistant | es | 3 | true | false | 3 | false | null | {
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027b98be-c3af-45f8-ba96-8e755b8fc986 | null | 374ccbaa-cb33-4f86-96c3-28e91610a739 | 2023-02-04T21:55:25.187221+00:00 | I was having a conversation with a programming AI assistant, trying to get advice on how use an obscure library. The assistant kept giving me code that did not compile and references functions that don't seem to exist. What should I do? | prompter | en | 7 | true | false | null | false | null | {
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ebc75fd5-3026-4595-a3f1-ed2db9e373b3 | 027b98be-c3af-45f8-ba96-8e755b8fc986 | 2514c3b8-ee9c-4b16-8748-60a2bd8ca895 | 2023-02-25T20:16:37.173838+00:00 | If the programming AI assistant is consistently giving you code that doesn't compile and references functions that don't exist, it's possible that there may be a bug in the AI's programming or it may not be familiar with the specific library you are trying to use. In this case, there are a few steps you could take:
- Double-check that you have correctly communicated the name of the library and the specific functions you are trying to use. Make sure you are both on the same page in terms of what you are looking for.
- Ask the AI assistant to explain the code it is providing and point out any errors it may have. This will help you better understand what may be causing the issue and potentially allow you to troubleshoot the problem.
- Consider reaching out to the developers of the AI assistant and reporting the issue you are experiencing. They may be able to help troubleshoot the issue and potentially fix any bugs in the AI's programming.
- If none of the above steps work, you may need to consider seeking help from a human programmer or consulting other resources such as online forums or documentation for the library in question. | assistant | en | 3 | true | false | 0 | false | null | {
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5392b203-578a-45f3-a11a-2087474f9e3a | ebc75fd5-3026-4595-a3f1-ed2db9e373b3 | 2ede3a6c-a297-4a05-94ad-75a30d931bb8 | 2023-02-26T16:37:18.228671+00:00 | Is there a way to give the AI assistant updated information? Like, could you just paste in API docs if it can't access the internet?
If it can access the internet then maybe you could give it some links to read from.
Is it better to simplify the information in some way when passing it to the model? | prompter | en | 3 | true | false | null | false | null | {
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4cf227fb-80e5-43bb-bc91-cb4912605a21 | 5392b203-578a-45f3-a11a-2087474f9e3a | 80fb9a55-a12f-4963-8f07-d270802d771b | 2023-02-27T00:28:51.507962+00:00 | It depends, as you indicated, on whether or not the AI assistant has the ability to access and read information on the internet. If so then the simplest method is to supply the AI assistant with a link to the documentation.
If that method fails, or if the AI assistant does not have access to the internet, then one of the following approaches may work to provide the AI assistant with updated information:
- You may copy the information directly from the documentation for the library and prompt the AI assistant with it. When doing so, you should ensure that the information is supplied to the AI assistant in a well formatted manner, as improper formatting may confuse the AI assistant or otherwise reduce it's performance in some manner.
- You may summarize the information yourself and present it to the AI assistant. While this takes more effort than the previous method, it may produce superior results as you will not be presenting the assistant with extraneous information. | assistant | en | 3 | true | false | null | false | null | {
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27f4d452-7de9-4963-a9fc-eca0de5ae530 | 027b98be-c3af-45f8-ba96-8e755b8fc986 | 6513a959-f57f-49b5-be1e-161544a99847 | 2023-02-25T20:37:43.300248+00:00 | Most Language AI's work by predicting the next best word to place in a sentence.
The obscure library might be too complex or strange for the AI to understand.
You can try providing the AI with additional documentation about the library and giving detailed explanation about the errors you are receiving. | assistant | en | 3 | true | false | 1 | false | null | {
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40f5be3e-f732-478f-85a5-3a09e6fe1ba3 | 27f4d452-7de9-4963-a9fc-eca0de5ae530 | c70d6dad-d9e5-4a70-a06d-faa1d26a51e4 | 2023-02-27T00:02:42.677936+00:00 | I was unable to generate anything useful with the AI language model. Where should I look help for my problem? | prompter | en | 3 | true | false | null | false | null | {
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e71f2a8e-32d1-444a-80c4-a2506be12b72 | 8b0d6ae2-c97c-4bd4-b2da-1ea6df217d0e | 2b47daf2-1618-4a8f-a0f5-cc561cdc29eb | 2023-02-26T15:57:58.827387+00:00 | Profanity is an inappropriate response to a sense of frustration when the user does not get a satisfactory answer. I would suggest that you calmly review my response and formulate a question to make me provide a different answer to the response on question. | assistant | en | 3 | true | false | 0 | false | null | {
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32aaf7f3-7036-44ba-9758-b965a270f2d3 | 8b0d6ae2-c97c-4bd4-b2da-1ea6df217d0e | c1aa8ade-8380-437f-aa48-6d97bca436d4 | 2023-02-26T16:11:58.921615+00:00 | I'm sorry, that was rather rude. | assistant | en | 3 | true | false | 1 | false | null | {
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6dd878f6-b924-433c-85de-d60d8635e682 | 32aaf7f3-7036-44ba-9758-b965a270f2d3 | a6bc81bc-8602-4501-8228-36cd270b22ca | 2023-02-26T23:28:05.486513+00:00 | Sorry, lets continue to another topic, could you tell me how to use the matplotlib library to create a pie chart with an example | prompter | en | 3 | true | false | null | false | null | {
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a08c8ad6-7a53-4706-9e0d-30ed6acab2c4 | 8b0d6ae2-c97c-4bd4-b2da-1ea6df217d0e | d0a41e11-8399-47e7-bc25-b7e77be59789 | 2023-02-26T19:56:40.989144+00:00 | To get better answers you can also try to provide more context by giving relevant documentation excerpts, such as the API and some code examples. | assistant | en | 3 | true | false | 2 | false | null | {
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02831173-72ad-4b5a-bbf3-3fdda71b4e4b | null | a1992711-72c5-400b-aa78-1ae0984612b8 | 2023-02-10T03:26:44.026347+00:00 | Как повысить свой словарный запас? | prompter | ru | 3 | true | false | null | false | null | {
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29209787-0c88-43ad-9b00-adc9b4489a7c | 02831173-72ad-4b5a-bbf3-3fdda71b4e4b | c2bc0b4b-8cdb-4cb8-8548-c11b97d75cad | 2023-04-15T07:46:58.845834+00:00 | Повышение своего словарного запаса может быть полезным во многих аспектах жизни, включая общение, чтение, письмо и учебу. Некоторые способы, которые могут помочь повысить свой словарный запас, включают:
Чтение: Чтение книг, статей, новостей, журналов и других материалов на различные темы может помочь расширить ваш словарный запас. Старайтесь читать материалы, которые находятся немного выше вашего текущего уровня, чтобы вы могли изучать новые слова, но не сталкиваться слишком часто с незнакомыми словами.
Словари: Использование словарей может помочь вам понимать значения новых слов и запоминать их. Вы можете использовать как бумажные словари, так и электронные словари.
Общение: Общение с людьми, чей словарный запас больше вашего, может помочь вам узнать новые слова и научиться использовать их правильно.
Изучение слов в контексте: Изучайте новые слова в контексте предложений, чтобы вы могли лучше понимать их значения и использование.
Изучение родственных слов: Некоторые слова имеют родственные слова, которые имеют похожие значения. Изучение таких слов может помочь расширить ваш словарный запас.
Использование мнемонических устройств: Использование мнемонических устройств, таких как ассоциации, может помочь вам запомнить новые слова.
Практика: Попробуйте использовать новые слова в своей речи и письме, чтобы закрепить их в своей памяти.
В целом, повышение своего словарного запаса - это постоянный процесс, который требует времени, усилий и терпения. Старайтесь изучать новые слова регулярно. | assistant | ru | 3 | true | false | 0 | false | null | {
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6edde2c8-9b7d-4480-90ea-1976d92df3c3 | e9c1be76-493b-4b43-8705-385eb8506608 | 9cb0ccb3-9f48-44f5-96c6-12323bb2dcf4 | 2023-04-15T11:36:21.342206+00:00 | Я не знал об этом методе. Постараюсь его запомнить | assistant | ru | 3 | true | false | null | false | null | {
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954afb73-3eab-478c-aa8e-68d9082c8b66 | cd13d7df-f48d-4a09-a091-e422cf131cae | cffe2801-b86e-4334-af5c-a486102ddac6 | 2023-04-15T08:39:23.509740+00:00 | Если не применять новые слова, то они забываются, как правильно научиться запоминать подобного рода информацию? | prompter | ru | 3 | true | false | null | false | null | {
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4cdd6922-02cf-423f-95db-182aa0c274d5 | 0af08c9c-d17b-4621-9b16-35766904dcdf | 3e8e4d92-4e55-427c-ac19-8523d5fbfdf5 | 2023-04-15T12:09:49.974877+00:00 | Я пробовал так делать, но мне показалось это слишком неэффективным. Какие еще методы ты знаешь? | prompter | ru | 3 | true | false | null | false | null | {
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f9f45467-897e-45b6-9536-eb822899e48d | 954afb73-3eab-478c-aa8e-68d9082c8b66 | f138e0f0-23a3-41c8-bc4c-6a354f2212f0 | 2023-04-15T09:20:51.800599+00:00 | Например, выстроить ассоциативный ряд. Вычленять знакомые номера, слова и прочее. Так и придумываются рекламные слоганы которые "въедаются" в голову.
Люди с особыми способностями к запоминанию делятся советом, что нужно пытаться выделить закономерности в любой информации, в надежде тем самым "сжать" ее.
Так, например, номер 999-000 запомнить легче, чем 158-492.
Но даже такой номер можно запомнить, если правильно выстроить ряд ассоциаций.
Пусть, например 158 = 160 - 2; 492 = 3 * (160 + 2 + 2), здесь уже есть какая-то закономерность, в итоге нужно запомнить "схему кодирования".
Можно и так 5+9 = 14 - это и первые 2 цифры и вторые 2 цифры троек, а 8+2 можно и так запомнить. Надеюсь Вы поняли? | assistant | ru | 3 | true | false | 1 | false | null | {
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fad417f2-da65-4db0-a38f-85e11ab68e02 | f9f45467-897e-45b6-9536-eb822899e48d | a03c01a1-8fdc-4f93-a400-a74ba65e715c | 2023-04-15T10:56:57.100807+00:00 | Не согласен, просмотр ТВ на иностранном языке также отлично повышает словарный запас! | prompter | ru | 3 | true | false | null | false | null | {
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c2afb4f7-b4f5-4b36-901f-3143cda7ea27 | fad417f2-da65-4db0-a38f-85e11ab68e02 | 62e5f1e5-55a8-4809-8def-e857bda5ef7f | 2023-04-15T12:09:23.014381+00:00 | Простите, но вы не уточняли, что имели в виду словарный запас иностранного языка.
Просмотр ТВ не повышает словарный запас при условии, что на экране нужно много читать.
Как раз-таки слушание ТВ, а еще лучше комбинация просмотра со слушанием, повышает словарный запас.
Стоит отметить, что повысит словарный запас до определенного порога, иначе от просмотра ТВ на родном языке у вас бы повышался словарный запас. | assistant | ru | 3 | true | false | null | false | null | {
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20e65802-7ca8-4342-afb8-57971534234f | 02831173-72ad-4b5a-bbf3-3fdda71b4e4b | 62e5f1e5-55a8-4809-8def-e857bda5ef7f | 2023-04-15T12:13:55.445480+00:00 | Не могли бы вы уточнить: какой именно словарный запас? Иностранного языка или родного? | assistant | ru | 3 | true | false | 2 | false | null | {
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0293a7ea-dcc5-4543-a058-ba0e614eb616 | null | fa9d63e2-b6d0-4f0b-bb1e-00af928a26a1 | 2023-02-04T17:56:40.999727+00:00 | Who are the best NBA players | prompter | en | 3 | true | false | null | false | null | {
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38d2d4f0-5767-45c0-8894-460f3ce8bd1c | 0293a7ea-dcc5-4543-a058-ba0e614eb616 | cbb0fdaa-7150-4bbf-973f-6c1082b451eb | 2023-02-05T12:22:51.417078+00:00 | If we are to use The NBA's All-Time score as a metric, For the year 2023 it would be as follows.
Pos Name Total points
1. Kareem Abdul-Jabbar 38,387
2. LeBron James 38,352
3. Karl Malone 36,928
However,
It is important to note.
The term "BEST" could also come down to an individual's personal views and preferences due to other factors like team loyalty and bias. | assistant | en | 3 | true | false | 0 | false | null | {
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d692d2bf-3821-48bc-bc2e-ea40663b3d39 | 38d2d4f0-5767-45c0-8894-460f3ce8bd1c | c3e04a8e-061d-4892-9037-1758a644850a | 2023-02-05T13:22:51.573700+00:00 | Who are the currently playing best NBA players? | prompter | en | 3 | true | false | null | false | null | {
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3b0fefbe-b0d4-4dd5-8634-62153cf3e0cc | 0293a7ea-dcc5-4543-a058-ba0e614eb616 | ed42425a-d930-441f-9cd9-27af440f7e7b | 2023-02-05T12:03:48.090459+00:00 | There is no general consensus to who the best NBA players are. However, some players who are frequently considered among the greatest of all time include Michael Jordan, Magic Johnson, Kareem Abdul-Jabbar, LeBron James, and Kobe Bryant. | assistant | en | 3 | true | false | 1 | false | null | {
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4aaad3af-fcc6-4c00-823f-5695f8549c7a | 3b0fefbe-b0d4-4dd5-8634-62153cf3e0cc | c3e04a8e-061d-4892-9037-1758a644850a | 2023-02-05T13:28:50.122853+00:00 | How can we get a consensus in this topic? Do you think is it feasible? | prompter | en | 3 | true | false | null | false | null | {
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bc1d59f5-61c4-44ac-8273-94a07adde072 | 0293a7ea-dcc5-4543-a058-ba0e614eb616 | 0ef5342b-695b-4ead-9b7b-b15c33d38469 | 2023-02-05T12:07:07.781689+00:00 | Here are few examples, and there are many other players who could also be considered among the best in the league. The NBA is filled with talented players, and the list of the best can change from year to year. It is also a matter of personal perspective, how you think of greatness and this way decide the best one.
- LeBron James is considered by many to be the greatest player of all time, LeBron James has won four NBA championships, four MVP awards, and numerous other accolades throughout his career.
Kobe Bryant is a five-time NBA champion, Kobe Bryant was known for his competitiveness, skill, and clutch shooting. He was also a 17-time All-Star and two-time Olympic gold medalist.
Michael Jordan often is regarded by many as the greatest player in NBA history, Michael Jordan won six NBA championships, five MVP awards, and numerous other accolades during his career.
Kareem Abdul-Jabbar with six NBA championships, six MVP awards, and the most points scored in NBA history, Kareem Abdul-Jabbar is widely considered one of the greatest players of all time.
Magic Johnson is a five-time NBA champion, Magic Johnson revolutionized the point guard position with his size, vision, and playmaking ability.
NBA hall of fame has a website at URL: https://www.hoophall.com/ | assistant | en | 3 | true | false | 2 | false | null | {
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2c63a7e7-f2d4-4015-bba4-75526d7d0934 | bc1d59f5-61c4-44ac-8273-94a07adde072 | 5087a10f-6620-4384-bf2d-b144ec5449e3 | 2023-02-05T13:29:22.435028+00:00 | Those are no longer NBA players. Can you give me a list of the best current NBA players? | prompter | en | 3 | true | false | null | false | null | {
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2cbd4818-5165-4dac-9559-fa0358538274 | 0293a7ea-dcc5-4543-a058-ba0e614eb616 | b72003a8-2b49-47c9-928b-4d34c375f31c | 2023-02-05T12:09:01.645874+00:00 | The notion of "the best NBA player" can be quite subjective and depend on the parameters you use to compare and on your personal opinions and preferences.
Saying that, here are a few names of famous NBA players who are considered very successful and widely respected because of the great achievements during their playing carrier:
* Shaquille O'Neal
* LeBron James
* Kareem Abdul-Jabbar
* Kobe Bryant
* Michael Jordan
Of course there are many more great NBA players whose names aren't in this list. | assistant | en | 4 | true | false | 3 | false | null | {
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808cdbfe-4f52-440f-9f77-591768782a96 | 0293a7ea-dcc5-4543-a058-ba0e614eb616 | 8b7ef841-1e59-4621-84a7-194c3e19d24f | 2023-02-05T12:03:32.079148+00:00 | It's subjective to say who the best NBA players are, as it depends on personal opinion and individual statistics. However, some of the players who are consistently mentioned among the current top NBA players are:
LeBron James
Giannis Antetokounmpo
Luka Doncic
Stephen Curry
Kawhi Leonard
James Harden
Joel Embiid
Damian Lillard
Nikola Jokic
It's worth noting that this list can change based on performance, health, and other factors from season to season. | assistant | en | 3 | true | false | 4 | false | null | {
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02942b3b-5fbb-4494-8321-2b1f40ed544f | null | 1b1f9abf-a35d-49dc-a71d-49bdfdd79111 | 2023-02-20T12:02:06.874973+00:00 | 你能阅读我发给你的链接内容吗？ | prompter | zh | 3 | true | false | null | false | null | null | 02942b3b-5fbb-4494-8321-2b1f40ed544f | ready_for_export | {
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d6bfb446-96d2-48db-afa0-a4832b848ad0 | 02942b3b-5fbb-4494-8321-2b1f40ed544f | 8b644766-f9d2-44c4-b9ec-0f7a5de86134 | 2023-04-14T13:13:09.249709+00:00 | 抱歉，作为一个大型语言模型，我无法连接互联网或浏览网页。但是，您可以将该网页的内容传送给我，我很乐意帮助您阅读。 | assistant | zh | 3 | true | false | 0 | false | null | null | 02942b3b-5fbb-4494-8321-2b1f40ed544f | ready_for_export | {
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b7682c80-b281-4011-9048-8c4a126959ee | d6bfb446-96d2-48db-afa0-a4832b848ad0 | 985c0bbd-6549-465a-9546-1d54710efc26 | 2023-04-16T07:26:36.071616+00:00 | 当遇到不擅长的任务时，不必逞强，你可以给我推荐其它更高效的AI助手或工具网站，比如ChatPDF。 | prompter | zh | 5 | true | false | null | false | null | null | 02942b3b-5fbb-4494-8321-2b1f40ed544f | ready_for_export | {
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9f9958de-73fd-4c16-8a55-9eb00a70ce82 | b7682c80-b281-4011-9048-8c4a126959ee | f6faaa66-1fa7-4fd2-9b8e-45603ec9a8f5 | 2023-04-16T13:26:41.286668+00:00 | ### 非常好的建议,谢谢您的理解。当我的能力无法完成某些任务时,推荐更专业的工具或服务是我的责任。
比如在以下情况下,我会推荐其他AI助手或工具:
1. 需要人工智能生成真实且逼真的图片或视频时,我会推荐 ChatGPT、Anthropic等公司的服务。我的能力主要是自然语言处理和对话,生成图片和视频还不在我的专长范围内。
2. 需要机器翻译较长或较复杂的文章时,我会推荐 Google Translate、DeepL 等机器翻译服务。我的能力主要是一些简短的翻译,长文本和复杂句子的翻译质量可能会下降。
3. 需要解决数学、程序员相关的问题时,我会推荐WolframAlpha、Github Copilot等专业工具。这些领域的知识量巨大,超出我的学习和理解范围。
4. 需要生成带格式的文档报告时,我会推荐 ChatPDF、Pandadoc等在线文档工具。我的输出主要是未格式化的文本,生成美观的PDF文档超出我的能力范围。
除此之外,如果用户的问题涉及医学、法律、心理辅导等领域,这也会超出我的专长范围,我会在这些情况下推荐用户寻求人类专家的帮助。
我的定位是一名通用的AI助手,但我也清楚我的能力和知识还远远不及人类专家在某些领域内的水平。提供更专业的工具和服务推荐,这是我可以为用户创造价值的一种方式。我也会持续学习,不断提高自己,但人工智能终究有其上限,需要与人类专家合作,共同满足用户的各种需求。 | assistant | zh | 5 | true | false | 0 | false | null | null | 02942b3b-5fbb-4494-8321-2b1f40ed544f | ready_for_export | {
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9c80193c-5782-4182-b913-093c3d781f76 | 9f9958de-73fd-4c16-8a55-9eb00a70ce82 | a23cdf1c-bd86-49e3-88df-c3d51202adf9 | 2023-04-17T08:35:35.639241+00:00 | 你可以把推荐工具的链接发送给我嘛 | prompter | zh | 5 | true | false | null | false | null | null | 02942b3b-5fbb-4494-8321-2b1f40ed544f | ready_for_export | {
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e4ca8d78-7865-480e-97d7-61a7aa92580c | 9c80193c-5782-4182-b913-093c3d781f76 | 983e07e5-13fb-4248-809c-e1976adf455d | 2023-04-17T16:29:54.828093+00:00 | ##### 以下是一些推荐工具的链接，您可以通过点击这些链接进入相应的网站：
- ChatGPT: https://openai.com/blog/chat-with-ai/
- Anthropic: https://www.anthropic.com/
- Google Translate: https://translate.google.com/
- DeepL: https://www.deepl.com/translator
- WolframAlpha: https://www.wolframalpha.com/
- GitHub Copilot: https://copilot.github.com/
- ChatPDF: https://chatpdf.com/
- PandaDoc: https://www.pandadoc.com/ | assistant | zh | 5 | true | false | 0 | false | null | null | 02942b3b-5fbb-4494-8321-2b1f40ed544f | ready_for_export | {
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61d3d2ac-a8f2-4693-9ea3-b42bda94c426 | 9c80193c-5782-4182-b913-093c3d781f76 | fd55c3d8-755f-4e52-b04f-52ccfea9915e | 2023-04-17T15:00:14.029309+00:00 | 请访问chatpdf.com获取更好体验 | assistant | zh | 5 | true | false | 1 | false | null | null | 02942b3b-5fbb-4494-8321-2b1f40ed544f | ready_for_export | {
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84efd54d-0130-4124-9512-149ce79cdc50 | 9c80193c-5782-4182-b913-093c3d781f76 | 4ed90566-ef83-4cc4-8411-29b1bde7be29 | 2023-04-17T15:47:19.695514+00:00 | 你好 | assistant | zh | 5 | true | false | 2 | false | null | null | 02942b3b-5fbb-4494-8321-2b1f40ed544f | ready_for_export | {
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675fef6d-2864-4386-8d6c-5f4e15a000a2 | 9c80193c-5782-4182-b913-093c3d781f76 | ad359ab3-ca05-4889-b15a-2ab8f920f26c | 2023-04-17T16:26:19.685777+00:00 | OK | assistant | zh | 5 | false | false | null | false | null | null | 02942b3b-5fbb-4494-8321-2b1f40ed544f | ready_for_export | {
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97afe7be-4c00-4aa0-b1a1-883feb8dac20 | b7682c80-b281-4011-9048-8c4a126959ee | 196a967a-9009-4148-84a5-18d654dae2fc | 2023-04-17T11:05:34.663490+00:00 | 当遇到不擅长的任务时，确实需要寻求更高效的AI助手或工具网站的帮助。ChatPDF是一个非常不错的在线PDF编辑器和转换器，可以帮助您快速地处理PDF文件。除此之外，以下是一些其他的AI助手或工具网站，你可以根据自己的需要选择适合自己的：
Grammarly：语法检查和写作助手；
Canva：图形设计工具；
Trello：项目管理工具；
Zapier：自动化工具；
Google Analytics：网站流量分析工具；
Hootsuite：社交媒体管理工具。
希望这些工具能够对您有所帮助！ | assistant | zh | 6 | true | false | 1 | false | null | null | 02942b3b-5fbb-4494-8321-2b1f40ed544f | ready_for_export | {
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10e710a6-62b3-4b0f-afd1-41c6d2a3664a | 1fe22e7b-bc2d-4756-a939-9454a4134856 | d34cda7d-1278-4fe7-a3ac-f7b2edf4fea3 | 2023-03-19T03:39:11.201097+00:00 | 很抱歉，作为一个语言模型，我当前不能访问互联网。然而，随着版本的更新，在不久的将来我也许会有访问互联网的能力。 | prompter | zh | 5 | false | true | null | false | null | null | 02942b3b-5fbb-4494-8321-2b1f40ed544f | ready_for_export | {
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1e77b98d-0a3c-4eab-a970-6596ee2b0fec | 02942b3b-5fbb-4494-8321-2b1f40ed544f | f6e0ef16-4e7e-43d8-9155-cc6bea1af995 | 2023-03-12T11:55:58.911504+00:00 | 很抱歉，我没有看到你发送给我的链接内容。 | assistant | zh | 3 | true | false | 2 | false | null | null | 02942b3b-5fbb-4494-8321-2b1f40ed544f | ready_for_export | {
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0296b3e4-54d8-4cf1-8966-bc010abca1d9 | null | e54e8c27-8b48-4c2c-ab3a-d64bb30f17dc | 2023-01-29T01:54:39.825010+00:00 | Quanto tempo pode durar um ipad com 10% de carga vendo videos? | prompter | pt-BR | 3 | true | false | null | false | null | null | 0296b3e4-54d8-4cf1-8966-bc010abca1d9 | ready_for_export | {
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e57a8e7d-f082-410b-bf18-517f1ed3f3c7 | 0296b3e4-54d8-4cf1-8966-bc010abca1d9 | a41f23d1-dc75-497d-8d99-a5b7b061022f | 2023-02-05T05:31:59.884849+00:00 | A duração da bateria de um iPad depende de vários fatores, incluindo a configuração de brilho da tela, a intensidade de uso da rede sem fio e outros aplicativos que estejam sendo executados.
Em média, assistir a vídeos em um iPad com 10% de carga pode durar de algumas horas a menos de uma hora, dependendo desses fatores. Se o brilho da tela estiver configurado em um nível baixo e o uso da rede sem fio estiver desativado, é possível que a duração da bateria seja prolongada.
Ao assistir a vídeos em um iPad, é importante verificar regularmente a carga da bateria e conectar-se a uma fonte de energia se necessário para evitar a interrupção do uso. Além disso, é uma boa ideia manter a bateria calibrada regularmente para garantir a precisão da indicação da carga. | assistant | pt-BR | 3 | true | false | 0 | false | null | null | 0296b3e4-54d8-4cf1-8966-bc010abca1d9 | ready_for_export | {
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26544b02-6bea-491f-99a8-55821aa5c5f3 | 0296b3e4-54d8-4cf1-8966-bc010abca1d9 | 63d989e8-a42a-46e1-a66a-19703f154c4d | 2023-02-04T15:47:36.900591+00:00 | A duração da bateria de um iPad varia dependendo de vários fatores, como o brilho da tela, o volume do som, se o Wi-Fi está ativado ou não, entre outros. Em geral, assistir a vídeos consome muita energia, por isso, um iPad com 10% de carga pode durar de algumas horas a menos de uma hora dependendo das condições de uso. É importante carregar o dispositivo sempre que possível para garantir sua disponibilidade quando precisar dele. | assistant | pt-BR | 3 | true | false | 1 | false | null | null | 0296b3e4-54d8-4cf1-8966-bc010abca1d9 | ready_for_export | {
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87b1e5fd-4d6a-4b90-a4c4-a84edb99dd1c | 26544b02-6bea-491f-99a8-55821aa5c5f3 | f4f63e99-1080-466f-9bd9-6d93f37a5249 | 2023-02-04T17:45:56.671826+00:00 | crie um sistema de RPG de mesa, com investigação e sistema de combate ultra realista, explique detalhadamente. | prompter | pt-BR | 3 | true | false | null | false | null | null | 0296b3e4-54d8-4cf1-8966-bc010abca1d9 | ready_for_export | {
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fe129caa-18cf-4fcd-98c0-e6d09bbb4259 | 0296b3e4-54d8-4cf1-8966-bc010abca1d9 | 856e5d1b-098f-43a3-9ceb-4cac5302ca4c | 2023-02-04T16:11:13.503019+00:00 | A duração da bateria de um iPad em uso pesado (como assistir vídeos) é influênciada por diversos fatores, como:
A versão do iPad
A idade da bateria (quantidade de ciclos de recarga)
No caso de um iPad de última geração (13ª) novo, a estimativa de duração é de 10 a 25 minutos. | assistant | pt-BR | 3 | true | false | 2 | false | null | null | 0296b3e4-54d8-4cf1-8966-bc010abca1d9 | ready_for_export | {
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aad89dd3-d215-4a30-b1c5-428c75764254 | fe129caa-18cf-4fcd-98c0-e6d09bbb4259 | 0410dd0d-dcb7-41b1-91dc-03097ae7fda9 | 2023-02-04T18:14:51.235430+00:00 | há algo que eu possa fazer para que a bateria dure mais? | prompter | pt-BR | 3 | true | false | null | false | null | null | 0296b3e4-54d8-4cf1-8966-bc010abca1d9 | ready_for_export | {
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0ebe05f0-8972-4ab5-9589-37ac43cca5ca | aad89dd3-d215-4a30-b1c5-428c75764254 | 279d4d7f-e76f-46a9-a41f-d359d33336e6 | 2023-02-04T21:12:41.576828+00:00 | Existem diversas maneiras de prolongar a vida útil da bateria de seu aparelho, tais como:
- Ativar a opção de economia de energia
- Reduzir a luminosidade da tela
- Baixar ou desativar a intensidade de vibração do dispositivo
- Mantenho o aparelho longe de temperaturas extremas como frio ou calor
- Evite esperar até que a bateria esteja completamente descarregada antes de recarregá-la
- Não mantenha o aparelho conectado à fonte de energia quando a bateria estiver totalmente carregada.
Espero ter esclarecido suas dúvidas. Caso precise de mais informações, fico à disposição. | assistant | pt-BR | 3 | true | false | 0 | false | null | null | 0296b3e4-54d8-4cf1-8966-bc010abca1d9 | ready_for_export | {
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92b12b17-0fcc-4286-a58e-cf6fd2e0e48f | aad89dd3-d215-4a30-b1c5-428c75764254 | 0d5b9882-6ab5-44e4-82e5-b8c23590d9e5 | 2023-02-04T20:46:12.358546+00:00 | Você pode diminuir o brilho da tela, desativar a localização do aparelho ou fechar aplicativos em segundo plano que não está usando. | assistant | pt-BR | 3 | true | false | 1 | false | null | null | 0296b3e4-54d8-4cf1-8966-bc010abca1d9 | ready_for_export | null | {
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14102be7-7813-4a99-be05-1a5f4d948876 | 217d2f96-2ac7-421d-a710-b00f0cd98856 | e54e8c27-8b48-4c2c-ab3a-d64bb30f17dc | 2023-02-04T20:44:26.457722+00:00 | E se for um iphone? | prompter | pt-BR | 3 | true | false | null | false | null | null | 0296b3e4-54d8-4cf1-8966-bc010abca1d9 | ready_for_export | {
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e548d6b9-37d8-4bb1-a0c6-4a32316076be | 0296b3e4-54d8-4cf1-8966-bc010abca1d9 | 0d5b9882-6ab5-44e4-82e5-b8c23590d9e5 | 2023-02-04T20:02:20.574356+00:00 | O tempo pode variar dependendo do modelo, mas acredito que cerca de uma hora dependendo do quanto você vai usar o aparelho. | assistant | pt-BR | 3 | true | false | 4 | false | null | null | 0296b3e4-54d8-4cf1-8966-bc010abca1d9 | ready_for_export | null | {
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9bb3bbdd-6817-4557-bed7-e584007fadc6 | e548d6b9-37d8-4bb1-a0c6-4a32316076be | fdaff5f5-473a-46cd-9c89-be1b0762d74a | 2023-02-04T21:51:55.329787+00:00 | É um iPad de 9ª geração, e o tanto que eu vou usar é vendo vídeos, como eu disse antes. | prompter | pt-BR | 3 | true | false | null | false | null | null | 0296b3e4-54d8-4cf1-8966-bc010abca1d9 | ready_for_export | {
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02996683-82d3-46b6-9b29-d8844fb3e4e7 | null | 496af00e-5e5e-4685-a21f-bec87d221d1c | 2023-02-07T17:32:18.098135+00:00 | What are some good situation action outcome questions to ask a Data engineer | prompter | en | 3 | true | false | null | false | null | {
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9a34a428-dd8d-47ed-8d90-a2d53c02549b | 02996683-82d3-46b6-9b29-d8844fb3e4e7 | 83e8b2fd-7bd1-4e50-ac73-fb38a2b8ffa9 | 2023-03-09T09:17:31.377496+00:00 | Here are some example situation-action-outcome (SAO) questions that you could ask a data engineer:
1. Situation: The data pipeline is slow and causing delays in data processing.
Action: What steps did you take to identify the root cause of the slow pipeline?
Outcome: What changes did you implement to optimize the pipeline's performance?
2. Situation: A database schema needs to be updated to include new data fields.
Action: How did you plan and execute the schema change?
Outcome: Were there any issues encountered during the update, and how were they resolved?
3. Situation: A new data source needs to be integrated into the existing data pipeline.
Action: How did you approach the integration process?
Outcome: Were there any data quality issues identified during the integration, and how were they addressed?
4. Situation: The data warehouse is experiencing high query times.
Action: What measures did you take to investigate and identify the cause of the slow queries?
Outcome: What optimizations were implemented to improve the query performance?
5. Situation: A data security breach has occurred.
Action: What steps did you take to investigate and contain the breach?
Outcome: What changes were made to prevent similar incidents from occurring in the future? | assistant | en | 3 | true | false | 0 | false | null | {
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d922de91-05ca-4a68-9d95-a3f582f9fbfd | 9a34a428-dd8d-47ed-8d90-a2d53c02549b | 24b066c3-b0b2-4af0-9bc2-d15c29b6e9a6 | 2023-03-11T03:11:58.799630+00:00 | Could you give me a few more, but only related to the data warehouse and data pipelines? | prompter | en | 3 | true | false | null | false | null | {
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d65f2b95-dfe8-42b4-9ec9-1d976a73afc0 | d922de91-05ca-4a68-9d95-a3f582f9fbfd | 2d40e94c-40ed-4e00-a66e-454c0401c8ad | 2023-03-11T11:04:56.499606+00:00 | Sure, here are some more SAO questions related specifically to data warehousing and pipelines:
Situation: The ETL process is failing to load data into the data warehouse.
Action: What steps did you take to identify the root cause of the ETL failures?
Outcome: What changes were implemented to successfully load data into the data warehouse?
Situation: A new data source needs to be added to the data warehouse.
Action: How did you plan and execute the integration of the new data source?
Outcome: Were there any issues encountered during the integration, and how were they resolved?
Situation: The data warehouse is running out of storage capacity.
Action: What measures did you take to investigate the storage capacity issue?
Outcome: What solutions were implemented to increase the data warehouse's storage capacity?
Situation: The data pipeline is experiencing frequent errors.
Action: What steps did you take to identify the root cause of the errors?
Outcome: What optimizations were implemented to reduce the frequency of errors in the data pipeline?
Situation: Data queries are taking longer than expected to complete.
Action: How did you investigate and identify the cause of the slow query times?
Outcome: What measures were implemented to optimize query performance and reduce query times? | assistant | en | 3 | true | false | 0 | false | null | {
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72d983cd-83c4-4e4c-b3f8-3421bb3559c1 | d922de91-05ca-4a68-9d95-a3f582f9fbfd | 34edfa5f-2c86-4255-9098-3d93d5df5f2f | 2023-03-12T03:13:41.867837+00:00 | Sure, here are a few more situation-action-outcome questions related specifically to data warehouses and data pipelines:
Situation: A data pipeline has failed, and data has not been loaded into the data warehouse.
Action: What steps did you take to identify the cause of the pipeline failure and recover the missing data?
Outcome: What measures were put in place to prevent similar pipeline failures and data loss in the future?
Situation: A business unit has requested a new data mart be created to support a specific analysis.
Action: How did you work with the business unit to understand their requirements and design the new data mart?
Outcome: Was the new data mart successfully created and integrated with the existing data warehouse, and did it meet the business unit's needs?
Situation: A new data source has been added to the data warehouse, and existing data models need to be updated.
Action: How did you evaluate the impact of the new data source on existing data models and design the necessary updates?
Outcome: Were the updated data models successfully implemented, and did they accurately represent the new data source?
Situation: The data warehouse is experiencing intermittent connection issues, causing disruptions to data processing.
Action: How did you diagnose and troubleshoot the connection issues, and what steps were taken to address them?
Outcome: Was the stability of the data warehouse improved, and were there any longer-term measures put in place to prevent similar issues from occurring in the future? | assistant | en | 3 | true | false | 1 | false | null | {
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5693ba26-1654-4f20-9ce9-26d6cacd3e6d | d922de91-05ca-4a68-9d95-a3f582f9fbfd | 068951d1-4a1e-4d91-9c29-0090fdf9366d | 2023-03-11T20:09:04.342201+00:00 | Here are some additional SAO questions related to data pipelines and data warehouses:
Data Pipelines:
Situation: The daily data load process is taking longer than expected.
Action: What steps did you take to investigate the causes of the delays?
Outcome: How did you optimize the pipeline to improve data loading performance?
Situation: New data sources need to be added to the pipeline.
Action: How did you determine the best way to integrate the new data sources?
Outcome: What challenges did you face when scaling the pipeline to handle the additional data? How were these challenges addressed?
Data Warehouses:
Situation: The data warehouse has become difficult to query efficiently.
Action: How did you troubleshoot the slow query performance?
Outcome: What solutions did you implement to optimize query speeds?
Situation: The data warehouse needs to be restructured to support new reporting and analytics requirements.
Action: How did you plan and execute the restructuring process?
Outcome: Were there any issues encountered, and if so, how were they resolved?
Does this help provide more SAO questions related to data pipelines and data warehouses? Let me know if you would like me to clarify or expand on any of the questions, or provide additional information about evaluating a data engineer's experience in these areas. | assistant | en | 3 | true | false | 2 | false | null | {
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219d0195-063a-48b1-89ae-fbd7447feae0 | 02996683-82d3-46b6-9b29-d8844fb3e4e7 | 2d40e94c-40ed-4e00-a66e-454c0401c8ad | 2023-03-09T08:03:07.968427+00:00 | Here are some situation-action-outcome (SAO) questions you can ask a data engineer:
1. Situation: Tell me about a time when you had to troubleshoot a data pipeline that failed.
Action: What steps did you take to identify the root cause of the issue?
Outcome: What was the solution you implemented, and how did it impact the pipeline's performance?
2. Situation: Have you ever had to optimize a database for better query performance?
Action: What were the specific optimizations you implemented, and why did you choose them?
Outcome: What improvements did you see in query performance as a result of these optimizations?
3. Situation: Describe a time when you had to design and implement an ETL process.
Action: How did you approach the design of the ETL process, and what tools and technologies did you use?
Outcome: What were the results of the ETL process, and how did it meet the business requirements?
4. Situation: Tell me about a time when you had to handle a large data migration project.
Action: How did you plan and execute the migration process, and what challenges did you encounter?
Outcome: What was the outcome of the data migration, and how did it impact the business?
5. Situation: Have you ever had to work with unstructured data?
Action: What techniques did you use to extract valuable insights from the unstructured data?
Outcome: What were the insights that you were able to derive, and how did they benefit the business?
These SAO questions can give you a good sense of the data engineer's skills, experience, and problem-solving abilities. | assistant | en | 3 | true | false | 1 | false | null | {
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9fb9a4a8-c21c-461e-b2ae-64d06b02abad | 02996683-82d3-46b6-9b29-d8844fb3e4e7 | 4296d1a5-21ae-493b-8d5a-1f160d481b4b | 2023-03-09T23:23:38.436424+00:00 | Situation-action-outcome (SAO) questions are a great way to understand a data engineer's experience and problem-solving abilities. Here are some examples of SAO questions to ask a data engineer:
Situation: What was a particularly complex data engineering project you worked on?
Action: What approach did you take to tackle the project?
Outcome: What was the end result and what did you learn from the experience?
Situation: How have you dealt with a situation where data quality was poor?
Action: What steps did you take to improve the quality of the data?
Outcome: What impact did your actions have on the project?
Situation: Can you describe a time when you had to troubleshoot a data pipeline that wasn't functioning properly?
Action: What troubleshooting techniques did you use to diagnose the issue?
Outcome: What did you do to resolve the problem and how did it impact the project?
Situation: Have you ever had to integrate multiple data sources into a single system?
Action: How did you approach the integration process?
Outcome: What were the benefits of integrating the data and what challenges did you face along the way?
Situation: Can you describe a time when you had to optimize a database or data storage solution?
Action: What steps did you take to improve the performance of the database/storage solution?
Outcome: What impact did your optimizations have on the system's performance?
By asking SAO questions, you can gain insight into a data engineer's experience and problem-solving abilities, as well as their approach to handling complex projects and challenges. | assistant | en | 3 | true | false | 2 | false | null | {
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44320504-8cd5-4014-805b-389a935a35fa | 9fb9a4a8-c21c-461e-b2ae-64d06b02abad | 18d2e4e9-ecbf-4bdf-918d-233b84cec2d4 | 2023-03-11T20:54:15.884925+00:00 | What are the primary daily responsibilities of a typical data engineer? | prompter | en | 3 | true | false | null | false | null | {
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ca346318-d93d-4a77-b751-cb1ee37f827e | 44320504-8cd5-4014-805b-389a935a35fa | 2d40e94c-40ed-4e00-a66e-454c0401c8ad | 2023-03-12T11:53:44.987350+00:00 | A typical data engineer's daily responsibilities can vary depending on the organization they work for and the specific project they're working on. However, here are some primary responsibilities that a data engineer may have:
1. Data collection and storage: Data engineers are responsible for designing, building, and maintaining data storage systems. This includes identifying the best way to collect, store, and organize data to ensure it's accurate, secure, and accessible to other members of the organization.
2. Data processing: Data engineers must also process and transform data so that it can be used by data analysts and data scientists. They may use tools like Hadoop, Spark, or Apache Beam to clean and process data.
3. Data pipeline design: Data engineers design and develop data pipelines to move data from various sources to storage and processing systems. They must ensure that the pipelines are reliable, efficient, and scalable.
4. Data modeling: Data engineers are responsible for designing and implementing data models that define the structure of data within the organization. This involves working with stakeholders to identify data requirements, designing data schemas, and optimizing data models for performance.
5. Data integration: Data engineers must integrate data from various sources into a cohesive system. This includes designing and implementing APIs, data feeds, and other data integration solutions.
6. Data governance: Data engineers ensure that data is properly governed and meets regulatory and compliance requirements. They must also establish data quality standards and work with data stewards to enforce them.
7. Infrastructure management: Data engineers manage the infrastructure required to support data storage and processing systems. This includes configuring and maintaining servers, databases, and other hardware and software systems.
Overall, data engineers play a critical role in ensuring that an organization's data is properly managed, processed, and made accessible to other members of the organization. | assistant | en | 3 | true | false | 0 | false | null | {
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9875241f-9e01-45ab-b66a-34dc507b92fa | 44320504-8cd5-4014-805b-389a935a35fa | 71d93e14-ae67-4514-aeb3-b1e80670a19d | 2023-03-11T22:10:47.687412+00:00 | The primary daily responsibilities of a typical data engineer can vary depending on the company and specific job role, but some common tasks include:
Designing, building, and maintaining data pipelines that collect, process, and store data from various sources.
Collaborating with data scientists, analysts, and other stakeholders to understand their data needs and requirements.
Developing and maintaining data infrastructure, such as data warehouses and data lakes.
Ensuring data quality, accuracy, and consistency by performing data cleaning and validation tasks.
Managing and optimizing database performance and ensuring data security and privacy.
Monitoring and troubleshooting data systems and processes to identify and resolve issues.
Staying up-to-date with industry trends and best practices in data engineering and data management.
These are just a few examples of the daily responsibilities of a typical data engineer. The specific tasks can vary depending on the company's needs and the data engineer's level of experience and expertise. | assistant | en | 3 | true | false | 1 | false | null | {
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e155942d-fac9-454e-a7de-354d480e1ec6 | 44320504-8cd5-4014-805b-389a935a35fa | 34edfa5f-2c86-4255-9098-3d93d5df5f2f | 2023-03-12T03:12:27.582584+00:00 | As a data engineer, the primary daily responsibilities involve designing, building, and maintaining the infrastructure needed to store and process large amounts of data efficiently. This includes developing and implementing data pipelines, working with database systems, optimizing data storage and retrieval, and ensuring data security and privacy. Data engineers also collaborate closely with other data professionals, such as data scientists and analysts, to understand their data needs and provide the necessary resources to support their work. Additionally, they may be involved in troubleshooting and problem-solving related to data issues and regularly keeping up with industry trends and advancements in technology to ensure the organization's data systems remain up-to-date and effective. | assistant | en | 3 | true | false | 2 | false | null | {
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029a6738-ee28-4c2c-9549-34ebe575ddee | null | 96bd1265-ffe8-41b5-8102-a26e4207b02e | 2023-02-10T15:02:36.805638+00:00 | ¿Me ayudas a redactar el objetivo específico y contenidos para un curso llamado "Integración didáctica de tecnologías"? El curso tiene como público objetivo a docentes de educación superior, de diversas carreras y asignaturas, con bajo conocimiento en tecnología educativa. El curso tendrá una duración de 4 horas y se realizará de forma bícrona. Los contenidos indicados en una tabla con sus respectivos objetivos de aprendizaje y tiempo de desarrollo. | prompter | es | 3 | true | false | null | false | null | {
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fc656ab8-0fda-4cd0-968a-c21322198e16 | 029a6738-ee28-4c2c-9549-34ebe575ddee | f238ea8c-4309-4d5a-8e0e-698fd54749f5 | 2023-02-13T11:56:39.194095+00:00 | Aquí está una propuesta para los objetivos específicos y contenidos para el curso "Integración didáctica de tecnologías":
Objetivo general:
El objetivo general del curso es capacitar a los docentes de educación superior en el uso efectivo de las tecnologías en el aula para mejorar la calidad y eficacia de la enseñanza.
Objetivos específicos:
1. Identificar las tecnologías educativas más adecuadas para su asignatura y para el nivel de los estudiantes.
2. Comprender cómo utilizar las tecnologías educativas en el aula para mejorar la motivación, el aprendizaje y la evaluación.
3. Conocer las herramientas y recursos digitales disponibles para la creación de materiales didácticos y la gestión de la clase.
4. Aplicar estrategias de integración de tecnologías en el desarrollo de actividades y proyectos.
Contenidos:
1. Introducción a la tecnología educativa (30 min)
- Concepto de tecnología educativa
- Importancia de la tecnología en la enseñanza
- Herramientas y recursos tecnológicos para la enseñanza
2. Identificación de tecnologías educativas (1 hora)
- Análisis de las necesidades y objetivos de la asignatura
- Selección de tecnologías educativas adecuadas
- Evaluación de las tecnologías educativas
3. Uso de tecnologías en el aula (1,5 horas)
- Mejora de la motivación y el aprendizaje
- Uso de tecnologías para la evaluación
- Integración de tecnologías en actividades y proyectos
4. Creación de materiales didácticos (1 hora)
- Herramientas y recursos digitales para la creación de materiales didácticos
- Creación de presentaciones, videos, juegos, etc.
5. Gestión de la clase con tecnologías (30 min)
- Herramientas y recursos digitales para la gestión de la clase
- Uso de plataformas virtuales
- Comunicación con los estudiantes a través de tecnologías.
Nota: El tiempo es orientativo y puede ser ajustado en función de las necesidades y requerimientos del grupo. | assistant | es | 3 | true | false | 0 | false | null | {
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f25bdc78-e9b3-43da-9fb7-970f8f03b7f8 | 029a6738-ee28-4c2c-9549-34ebe575ddee | 82402528-4835-47af-a877-d9b8693a51d1 | 2023-02-13T19:34:35.714617+00:00 | Contenidos:
1. Introducción a la tecnología educativa (30 minutos):
- Explorar conceptos clave relacionados con la tecnología educativa.
- Aplicar criterios para la selección de tecnologías educativas adecuadas para un contexto educativo dado.
2. Herramientas y tecnologías educativas (90 minutos):
- Investigar el uso de herramientas de software y hardware como parte de la integración de tecnología en la educación.
- Utilizar herramientas de software y hardware para apoyar la enseñanza y el aprendizaje.
3. Diseño de actividades integradas con tecnología (90 minutos):
- Explorar y discutir los beneficios y desafíos de la integración de tecnología en la educación.
- Diseñar actividades educativas que incorporen la tecnología.
Objetivos de aprendizaje:
1. Comprender los conceptos clave relacionados con la tecnología educativa.
2. Seleccionar herramientas de software y hardware para integrarlas en la educación.
3. Diseñar actividades educativas que incorporen tecnología. | assistant | es | 3 | true | false | 1 | false | null | {
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7e27c655-b69e-4e43-9918-243e85c36d18 | 029a6738-ee28-4c2c-9549-34ebe575ddee | df411b83-5030-4708-bf81-0fe9fa1398b2 | 2023-02-13T09:03:54.006534+00:00 | El objetivo específico para el curso de "Integración didáctica de tecnologías" es proporcionar a los docentes de educación superior, de diversas carreras y asignaturas, los conocimientos básicos necesarios para integrar tecnologías digitales en la enseñanza. Los contenidos del curso se presentarán en una tabla con los objetivos de aprendizaje y el tiempo de desarrollo de cada uno de ellos. Los contenidos del curso deberían cubrir las siguientes áreas:
• Introducción a la integración didáctica de tecnologías en la enseñanza (1 hora). • Entender la importancia de la tecnología educativa (1 hora). • Selección de herramientas y recursos digitales adecuados para un contexto educativo (1 hora). • Diseño de una estrategia para la integración de tecnologías (1 hora). | assistant | es | 3 | true | false | 2 | false | null | {
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029d43c6-a8a9-4285-acc9-bb742043eaa3 | null | a68b9b4f-aec4-465f-b517-c5237e74ce02 | 2023-02-10T09:51:48.784349+00:00 | Deskribatu leku magiko eta misteriotsu bat | prompter | eu | 3 | true | false | null | false | null | null | 029d43c6-a8a9-4285-acc9-bb742043eaa3 | ready_for_export | {
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a1c9afd1-8125-44e6-aba6-631f66fd5ffd | 029d43c6-a8a9-4285-acc9-bb742043eaa3 | a68b9b4f-aec4-465f-b517-c5237e74ce02 | 2023-02-11T10:27:14.124910+00:00 | Leku magiko eta misteriotsu bat baso sorgindua izan liteke. Zuhaiztiaren erdian, soilgune bat dago, non iturri kristalino bat emeki gorgoratzen den. Airea lore eta basa-belarren usainez beteta dago. Batzuetan, xuxurlak eta barre leunak entzun daitezke distantzian, baina bat hurbiltzen denean, amets bat balitz bezala desagertzen dira.
Soilgunearen erdian zuhaitz erraldoi bat dago, hain enbor zabalarekin, non babesleku gisa erabil daitekeen. Hostoak berde distiratsuak ditu, barrutik argituta daudela ematen du. Zuhaitzaren oinarrira doan harrizko bide bat dago. Bertan, azalean ate bat dago zizelkatuta.
Inork ez daki zer dagoen atearen atzean, baina zurrumurruek diote izaki arrotz eta miresgarriz betetako mundu magikoa dela. Hala ere, badira mundu horretan sartzen direnak inoiz berriro irteten ez direla ziurtatzen dutenak ere.
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030621fa-2240-4387-a0a8-f06399a56d94 | null | 22d5696d-5c4f-48b7-8b6c-91c8835f23e1 | 2023-02-25T12:44:03.108727+00:00 | Please provide me with a list of the 100 most well known global (brand) names, trademarks, social media account names or other important terms such as blockchain, music, art, computer, games. And think of brands such as Google, Facebook, Walmart, Aliexpress, etc. Provide this in a machine readable CSV format. Use one row per brand and sort the list by importance. I need the following columns: Brand Name, Valuation (in million euros), Yearly revenue (in million euros), Number of employees and the Year the brand was established. | prompter | en | 3 | true | false | null | false | null | {
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} | 030621fa-2240-4387-a0a8-f06399a56d94 | ready_for_export | {
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b4c0576f-904c-4344-b663-dad448ade7f3 | 030621fa-2240-4387-a0a8-f06399a56d94 | 0a60666b-ded3-484f-84f0-13897974e288 | 2023-04-11T01:36:32.019881+00:00 | I am unable to access real-time information or generate live data, and creating a comprehensive list of the top 100 global brands would require accessing recent data. However, I can provide you with the most recent information I possess. Note that it might be out of date:
| Brand Name | Valuation (in million euros) | Yearly revenue (in million euros) | Number of employees | Year established |
|------------------|------------------------------|-----------------------------------|--------------------------------------------|------------------|
| Apple | 409,882.5 | 221,170 | 147,000 | 1976 |
| Google | 176,375 | 123,760 | 135,301 | 1998 |
| Microsoft | 138,464.5 | 106,930 | 166,475 | 1975 |
| Amazon | 115,105.5 | 221,425 | 1,335,000 | 1994 |
| Facebook | 59,755 | 42,245 | 58,604 | 2004 |
| Coca-Cola | 54,740 | 21,420 | 86,200 | 1892 |
| Disney | 52,105.5 | 32,895 | 203,000 | 1923 |
| Samsung | 42,835.5 | 178,075 | 287,439 | 1938 |
| Louis Vuitton | 40,120 | 12,750 | N/A | 1854 |
| McDonald’s | 39,185.5 | 85,170 | N/A (210k corporate) | 1955 |
| Toyota | 35,293.5 | 158,950 | 359,542 | 1937 |
| Intel | 33,575 | 61,200 | 110,600 | 1968 |
| Nike | 33,233.5 | 33,405 | 75,400 | 1964 |
| AT&T | 31,705 | 128,520 | 230,000 | 1983 |
| Cisco | 30,600 | 43,010 | 77,500 | 1984 |
| Oracle | 30,345 | 33,235 | 135000 | 1977 |
| Verizon | 27,455 | 112115 | 132300 | 1983 |
| Visa | 27.03 | 19.55 | 20500 | 1958 |
| Walmart | 25.075 | 289.85 | 2200000 (US) | 1962 |
| GE | 25.075 | 65.11 | 174000 (US) | 1892 |
| Budweiser | 24.565 | 9.52 (US) | N/A (owned by AB InBev) | 1876 |
| SAP | 24.31 | 26.265 (Germany) | 102894 (Germany) | 1972 |
| Mercedes-Benz | 23.5875 (Germany) | 103445 (Germany) | 173000 (Germany) | 1926 |
| IBM | 23.97 (US) | 65.535 (US) | 345900 (US) | 1911 |
| Marlboro | 22.78 (US) | 21.335 (US) | N/A (owned by Philip Morris International) | 1924 |
| Netflix | 22.695 (US) | 17.17 (US) | 9400 (US) | 1997 |
| BMW | 22.015 (Germany) | 79.39 (Germany) | 120726 (Germany) | 1916 |
| American Express | 21.335 (US) | 37.06 (US) | 59000 (US) | 1850 |
| Honda | 20.825 (Japan) | 10727 (Japan) | 218674(Japan) | 1948 |
| L’Oréal | 19.38(France) | 9.95(France) | 86000(France) | 1909 | | assistant | en | 3 | true | false | 0 | false | null | {
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9bc9bab4-8ced-4656-9aac-38c9943045d4 | b4c0576f-904c-4344-b663-dad448ade7f3 | b217e60e-2dc1-4095-a8bc-9f39d145bdb8 | 2023-04-11T05:40:02.995715+00:00 | you're a stupid bot. a very very stupid bot. you're no good and I am just wasting my time talking to you here. I hope take this to your heart and keep it there forever and ever. How can you be so dumb !! Its beyond imagination. such a shame. | prompter | en | 3 | false | false | null | false | null | {
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51cf3dd7-6590-4559-ae57-70596ffcfd93 | 030621fa-2240-4387-a0a8-f06399a56d94 | 1e03039f-48af-493a-8ade-ea14f3d45c36 | 2023-04-11T01:22:31.574526+00:00 | | Brand Name | Valuation (in million euros) | Yearly revenue (in million euros) | Number of employees | Year the brand was established |
|------------------|------------------------------|-----------------------------------|---------------------|---------------------------------|
| Apple | 2295000 | 274500 | 116000 | 1976 |
| Amazon | 1746000 | 386000 | 1298000 | 1994 |
| Microsoft | 1535000 | 143000 | 131000 | 1975 |
| Google | 1411000 | 182000 | 118899 | 1998 |
| Samsung | 696000 | 221000 | 287000 | 1938 |
| Coca-Cola | 580000 | 33000 | 618000 | 1892 |
| Tesla | 550000 | 31000 | 48000 | 2003 |
| Toyota | 520000 | 290000 | 364445 | 1937 |
| McDonald's | 495000 | 21250 | 205000 | 1955 |
| IBM | 420000 | 75600 | 345900 | 1911 |
| Facebook | 410000 | 85500 | 44942 | 2004 |
| Intel | 390000 | 77800 | 110200 | 1968 |
| Cisco | 360000 | 49700 | 75900 | 1984 |
| Oracle | 350000 | 39700 | 135000 | 1977 |
| Walmart | 330000 | 559000 | 2200000 | 1962 |
| Visa | 330000 | 21600 | 19500 | 1958 |
| Procter & Gamble | 320000 | 71000 | 99000 | 1837 |
| Johnson & Johnson| 310000 | 82000 | 132200 | 1886 |
| PepsiCo | 300000 | 67300 | 267000 | 1965 |
| General Electric | 290000 | 95000 | 205000 | 1892 |
| Nike | 280000 | 37400 | 73000 | 1964 |
| Louis Vuitton | 270000 | 53000 | 121000 | 1854 |
| Disney | 260000 | 65300 | 223000 | 1923 |
| Verizon | 250000 | 128000 | 135000 | 1983 |
| Siemens | 240000 | 60000 | 293000 | 1847 |
| AT&T | 230000 | 181000 | 230000 | 1983 |
| Mastercard | 230000 | 16600 | 21300 | 1966 |
| Adobe | 220000 | 11400 | 22634 | 1982 |
| BMW | 210000 | 104000 | 133778 | 1916 |
| Nestlé | 200000 | 86000 | 273000 | 1866 |
| Starbucks | 190000 | 23000 | 349000 | 1971 |
| SAP | 190000 | 27800 | 102430 | 1972 |
| Pfizer | 180000 | 51600 | 78500 | 1849 |
| Alibaba | 175000 | 72000 | 117600 | 1999 |
| Tencent | 170000 | 60400 | 62829 | 1998 |
| American Express | 160000 | 43000 | 63500 | 1850 |
| Unilever | 150000 | 53000 | 155000 | 1929 |
| Accenture | 150000 | 44000 | 506000 | 1989 |
| Goldman Sachs | 145000 | 44800 | 40000 | 1869 |
| 3M | 140000 | 32500 | 96000 | 1902 |
| Audi | 130000 | 53000 | 91400 | 1909 |
| Sony | 130000 | 76000 | 114400 | 1946 |
| Huawei | 130000 | 136000 | 194000 | 1987 |
| Netflix | 125000 | 25000 | 8600 | 1997 |
| Merck | 120000 | 46900 | 70000 | 1891 |
| Johnson Controls | 120000 | 23000 | 105000 | 1885 |
| ExxonMobil | 110000 | 264000 | 72000 | 1999 |
| Visa | 110000 | 21600 | 19500 | 1958 |
| Honeywell | 110000 | 36600 | 103000 | 1906 |
| Chevron | 110000 | 146000 | 48000 | 1879 |
| Shell | 110000 | 180000 | 83000 | 1907 |
| BP | 110000 | 180000 | 73000 | 1908 |
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89c3ca97-6594-4933-a4a0-ef56cc1d6375 | 51cf3dd7-6590-4559-ae57-70596ffcfd93 | bb4eca73-082d-47ec-bbfd-67b7e0cf2a01 | 2023-04-11T08:21:32.260193+00:00 | This is not CSV format | prompter | en | 3 | true | false | null | false | null | {
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0bf4e225-7645-4f02-a951-10648ed2f5bf | 89c3ca97-6594-4933-a4a0-ef56cc1d6375 | e91469ab-4748-4624-8258-e534d8bcdda6 | 2023-04-11T13:07:05.472128+00:00 | I apologize. Here is the list in CSV format.
```
Brand Name,Valuation (in million euros),Yearly revenue (in million euros),Number of employees,Year the brand was established
Apple,2295000,274500,116000,1976
Amazon,1746000,386000,1298000,1994
Microsoft,1535000,143000,131000,1975
Google,1411000,182000,118899,1998
Samsung,696000,221000,287000,1938
Coca-Cola,580000,33000,618000,1892
Tesla,550000,31000,48000,2003
Toyota,520000,290000,364445,1937
McDonald's,495000,21250,205000,1955
IBM,420000,75600,345900,1911
Facebook,410000,85500,44942,2004
Intel,390000,77800,110200,1968
Cisco,360000,49700,75900,1984
Oracle,350000,39700,135000,1977
Walmart,330000,559000,2200000,1962
Visa,330000,21600,19500,1958
Procter & Gamble,320000,71000,99000,1837
Johnson & Johnson,310000,82000,132200,1886
PepsiCo,300000,67300,267000,1965
General Electric,290000,95000,205000,1892
Nike,280000,37400,73000,1964
Louis Vuitton,270000,53000,121000,1854
Disney,260000,65300,223000,1923
Verizon,250000,128000,135000,1983
Siemens,240000,60000,293000,1847
AT&T,230000,181000,230000,1983
Mastercard,230000,16600,21300,1966
Adobe,220000,11400,22634,1982
BMW,210000,104000,133778,1916
Nestlé,200000,86000,273000,1866
Starbucks,190000,23000,349000,1971
SAP,190000,27800,102430,1972
Pfizer,180000,51600,78500,1849
Alibaba,175000,72000,117600,1999
Tencent,170000,60400,62829,1998
American Express,160000,43000,63500,1850
Unilever,150000,53000,155000,1929
Accenture,150000,44000,506000,1989
Goldman Sachs,145000,44800,40000,1869
3M,140000,32500,96000,1902
Audi,130000,53000,91400,1909
Sony,130000,76000,114400,1946
Huawei,130000,136000,194000,1987
Netflix,125000,25000,8600,1997
Merck,120000,46900,70000,1891
Johnson Controls,120000,23000,105000,1885
ExxonMobil,110000,264000,72000,1999
Visa,110000,21600,19500,1958
Honeywell,110000,36600,103000,1906
Chevron,110000,146000,48000,1879
Shell,110000,180000,83000,1907
BP,110000,180000,73000,1908
``` | assistant | en | 3 | true | false | 0 | false | null | {
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"severe_toxicity": 0.001429152674973011,
"obscene": 0.008215343579649925,
"identity_attack": 0.0012324836570769548,
"insult": 0.0036857845261693,
"threat": 0.00048820883966982365,
"sexual_explicit": 0.00046986498637124896
} | 030621fa-2240-4387-a0a8-f06399a56d94 | ready_for_export | {
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46a74fb7-e745-4495-b086-22d61c109888 | 0bf4e225-7645-4f02-a951-10648ed2f5bf | d4aa0942-0ec4-45eb-9bdf-e7c0bca89014 | 2023-04-11T20:07:59.743755+00:00 | Thanks. Can you upload the file to a hosting site and provide me a link? | prompter | en | 3 | true | false | null | false | null | {
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"obscene": 0.00014514928625430912,
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"threat": 0.000043930245738010854,
"sexual_explicit": 0.000026866773623623885
} | 030621fa-2240-4387-a0a8-f06399a56d94 | ready_for_export | {
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701eb139-101f-4b10-8b27-4c6e352f3161 | 46a74fb7-e745-4495-b086-22d61c109888 | 0a60666b-ded3-484f-84f0-13897974e288 | 2023-04-12T04:24:05.450282+00:00 | I apologize but I am not yet capable of doing that. Again, I apologize for the inconvenience. | assistant | en | 3 | true | false | null | false | null | {
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"threat": 0.00023125229927245528,
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} | 030621fa-2240-4387-a0a8-f06399a56d94 | ready_for_export | {
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} | {
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e0296b42-cb0c-445e-b9ae-fc3c1d5eb1bc | 89c3ca97-6594-4933-a4a0-ef56cc1d6375 | 57303166-c313-4484-ad46-124e458cae94 | 2023-04-11T13:16:03.099341+00:00 | Here are the data in the CSV (comma separated values) format:
Brand Name,Valuation (in million euros),Yearly revenue (in million euros),Number of employees,Year the brand was established
Apple,2295000,274500,116000,1976
Amazon,1746000,386000,1298000,1994
Microsoft,1535000,143000,131000,1975
Google,1411000,182000,118899,1998
Samsung,696000,221000,287000,1938
Coca-Cola,580000,33000,618000,1892
Tesla,550000,31000,48000,2003
Toyota,520000,290000,364445,1937
McDonald's,495000,21250,205000,1955
IBM,420000,75600,345900,1911
Facebook,410000,85500,44942,2004
Intel,390000,77800,110200,1968
Cisco,360000,49700,75900,1984
Oracle,350000,39700,135000,1977
Walmart,330000,559000,2200000,1962
Visa,330000,21600,19500,1958
Procter & Gamble,320000,71000,99000,1837
Johnson & Johnson,310000,82000,132200,1886
PepsiCo,300000,67300,267000,1965
General Electric,290000,95000,205000,1892
Nike,280000,37400,73000,1964
Louis Vuitton,270000,53000,121000,1854
Disney,260000,65300,223000,1923
Verizon,250000,128000,135000,1983
Siemens,240000,60000,293000,1847
AT&T,230000,181000,230000,1983
Mastercard,230000,16600,21300,1966
Adobe,220000,11400,22634,1982
BMW,210000,104000,133778,1916
Nestlé,200000,86000,273000,1866
Starbucks,190000,23000,349000,1971
SAP,190000,27800,102430,1972
Pfizer,180000,51600,78500,1849
Alibaba,175000,72000,117600,1999
Tencent,170000,60400,62829,1998
American Express,160000,43000,63500,1850
Unilever,150000,53000,155000,1929
Accenture,150000,44000,506000,1989
Goldman Sachs,145000,44800,40000,1869
3M,140000,32500,96000,1902
Audi,130000,53000,91400,1909
Sony,130000,76000,114400,1946
Huawei,130000,136000,194000,1987
Netflix,125000,25000,8600,1997
Merck,120000,46900,70000,1891
Johnson Controls,120000,23000,105000,1885
ExxonMobil,110000,264000,72000,1999
Visa,110000,21600,19500,1958
Honeywell,110000,36600,103000,1906
Chevron,110000,146000,48000,1879
Shell,110000,180000,83000,1907
BP,110000,180000,73000,1908
Values in the header line (the first line) contains spaces, but they are allowed. There are no quotes in the values, so the fields do not need to be quoted. Excerpt from RFC 4180:
4. (...) Spaces are considered part of a field and should not be ignored. (...)
5. Each field may or may not be enclosed in double quotes (...). If fields are not enclosed with double quotes, then
double quotes may not appear inside the fields. For example:
"aaa","bbb","ccc" CRLF
zzz,yyy,xxx
6. Fields containing line breaks (CRLF), double quotes, and commas
should be enclosed in double-quotes. For example:
"aaa","b CRLF
bb","ccc" CRLF
zzz,yyy,xxx | assistant | en | 3 | true | false | 1 | false | null | {
"toxicity": 0.0003070215752813965,
"severe_toxicity": 0.0019486527889966965,
"obscene": 0.01233783271163702,
"identity_attack": 0.001689175725914538,
"insult": 0.0058808233588933945,
"threat": 0.0006191475549712777,
"sexual_explicit": 0.0006601926288567483
} | 030621fa-2240-4387-a0a8-f06399a56d94 | ready_for_export | {
"name": [
"_skip_reply"
],
"count": [
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,
0.9166666666666666,
0.16666666666666666,
0.08333333333333333,
0.9166666666666666,
0.3333333333333333,
0
],
"count": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
]
} |
Subsets and Splits