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4093cde8-68b1-4e36-b971-2bd2df8e6a89 | 04a61fa0-c20d-418b-a2a3-3d4edf76e9a3 | 3768191c-f9dc-47ad-ba88-cde92aba2e44 | 2023-04-04T18:29:58.157010+00:00 | Sí, ha habido cambios climáticos en la historia de la Tierra mucho antes de la existencia del ser humano. De hecho, el clima de la Tierra ha fluctuado constantemente durante miles de millones de años, desde períodos de intenso calor hasta períodos de glaciación.
Sin embargo, la evidencia científica ha demostrado de manera inequívoca que el cambio climático actual está siendo causado principalmente por la actividad humana. Si bien existen factores naturales que también afectan el clima, como las erupciones volcánicas y la variabilidad solar, los científicos han podido descartar estos factores como la causa principal del cambio climático actual.
Una de las principales líneas de evidencia es el registro de los gases de efecto invernadero en la atmósfera. La quema de combustibles fósiles y la deforestación han aumentado los niveles de dióxido de carbono y otros gases de efecto invernadero en la atmósfera a niveles sin precedentes en la historia humana. La composición de los gases de efecto invernadero en la atmósfera sugiere que estos gases están siendo liberados por la actividad humana.
Otra línea de evidencia son los modelos climáticos, que utilizan complejas simulaciones computarizadas para predecir el clima futuro. Estos modelos han sido capaces de simular con precisión el clima pasado y presente, y han demostrado que la única forma de explicar el cambio climático observado en los últimos siglos es incluyendo los efectos de los gases de efecto invernadero producidos por la actividad humana. | assistant | es | 3 | true | false | 1 | false | null | {
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bb385bf8-f7a5-45e9-9b81-bd4e0c610d10 | 4093cde8-68b1-4e36-b971-2bd2df8e6a89 | ded92df3-5a12-420e-954e-68e3410f7d20 | 2023-04-05T10:35:37.284243+00:00 | ¿Hay alguna forma de reducir de forma efectiva nuestra huella de carbono sin renunciar a los avances tecnológicos y la calidad de vida que tenemos? Por ejemplo, tengo entendido que se están sustituyendo en algunos paises centrales electricas de carbon o biomasa por renovables, sin embargo, las renobables presentan el poblema de que no existen tecnicas o industrias para reciclarlas cuando llegen al final de su vida útil. | prompter | es | 3 | true | false | null | false | null | {
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7599a8fb-d33d-40a4-ba98-7344f3494819 | bb385bf8-f7a5-45e9-9b81-bd4e0c610d10 | 3768191c-f9dc-47ad-ba88-cde92aba2e44 | 2023-04-05T16:11:26.140042+00:00 | Sí, hay varias formas de reducir nuestra huella de carbono sin renunciar a los avances tecnológicos y la calidad de vida que tenemos. Aquí te menciono algunas de ellas:
1. Cambiar a fuentes de energía renovable: como mencionaste, el uso de energías renovables como la solar, eólica o hidráulica en lugar de combustibles fósiles puede reducir significativamente las emisiones de gases de efecto invernadero. Aunque es cierto que existe un problema de reciclaje de algunas partes de las tecnologías renovables, también existen procesos de reciclaje en desarrollo y, en muchos casos, el impacto ambiental de estas tecnologías sigue siendo menor que el de las fuentes de energía fósil.
2. Mejorar la eficiencia energética: esto implica reducir el uso de energía en los procesos y en los dispositivos cotidianos. Algunas medidas incluyen usar bombillas LED de bajo consumo, mejorar la eficiencia energética en el hogar, utilizar transporte público o compartir vehículos, y utilizar tecnologías de la información y la comunicación para reducir la necesidad de viajar.
3. Cambiar los patrones de consumo: esto implica cambiar la forma en que consumimos y producimos bienes y servicios, y reducir el consumo innecesario. Algunas medidas incluyen comprar productos con empaques reciclables, utilizar productos duraderos y de alta calidad, evitar el desperdicio de alimentos y reducir el consumo de carne.
4. Promover la investigación y el desarrollo de tecnologías limpias: esto implica invertir en la investigación y el desarrollo de tecnologías que reduzcan las emisiones de gases de efecto invernadero y que sean sostenibles a largo plazo. | assistant | es | 3 | true | false | null | false | null | {
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e68de40a-d1c6-42d1-b632-8d4a628e67a3 | 15205a2d-d814-479c-92ca-87f1d494a3c5 | 661a56e1-04ca-47e5-b56f-7e8ea2fc5afa | 2023-04-03T17:38:18.600753+00:00 | Las causas principales del cambio climático son la emisión de gases de efecto invernadero a la atmósfera y la deforestación masiva del planeta. Esto afecta a factores como la biodiversidad de la Tierra, que está decreciendo a un ritmo nunca visto antes en otras extinciones masivas provocadas en el pasado por fenómenos naturales.
También afecta de forma directa al ser humano por la subida de la temperatura media de la atmósfera y los océanos, que trae consigo picos de temperatura extremos y fenómenos meteorológicos extremos como huracanes y demás. | assistant | es | 3 | true | false | 1 | false | null | {
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a3e043d9-fef1-431b-9e0e-0f0be1570d0c | e68de40a-d1c6-42d1-b632-8d4a628e67a3 | 3768191c-f9dc-47ad-ba88-cde92aba2e44 | 2023-04-05T13:06:46.705618+00:00 | En muchas publicaciones he leído que, aunque parezca inverosímil, una de las principales causas de generación de gases invernadero es el metano expulsado con las flatulencias del ganado, en especial de las vacas. ¿Es esto cierto o se trata de noticias sensacionalistas? ¿Es cierto que el gobierno de Nueva Zelanda está planteando un impuesto asociado a la tenencia de vacas por el problema que conllevan para el calentamiento global? | prompter | es | 3 | true | false | null | false | null | {
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1521c17a-1017-40b7-9e5a-0e32885d8d56 | null | 695d2623-ba66-4527-bcb2-064f7884fb53 | 2023-02-10T15:51:10.439811+00:00 | Zenbat dolar dira hiru euro? | prompter | eu | 3 | true | false | null | false | null | null | 1521c17a-1017-40b7-9e5a-0e32885d8d56 | ready_for_export | {
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1c6641fe-a4e8-41af-8ad4-37a6109c6f4d | 1521c17a-1017-40b7-9e5a-0e32885d8d56 | 02733db1-f070-4685-8f5e-4d1d69dde291 | 2023-02-23T12:09:06.103945+00:00 | Estatu Batuetako dolarraren (USD) eta euroaren (EUR) arteko kanbio-tasa etengabe alda daiteke, eta, beraz, garrantzitsua da bihurketaren uneko kanbio-tasa egiaztatzea. Hala ere, erreferentzia gisa, hau idazteko unean (2023ko otsailean), 3 euro AEBetako 3,30 dolar (USD) inguru dira. | assistant | eu | 3 | true | false | 0 | false | null | null | 1521c17a-1017-40b7-9e5a-0e32885d8d56 | ready_for_export | null | {
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aa95d4d9-2114-4c05-b0d0-65104c1aac68 | 1521c17a-1017-40b7-9e5a-0e32885d8d56 | eb351f9a-a897-4860-b4c9-955bad5b5f0d | 2023-02-12T02:02:31.031011+00:00 | Euroaren eta dolarraren arteko truke-tasa aldatu egiten da denboran zehar. Data zehatzik jakin gabe, ezin dut erantzun zehatzik eman. Hala ere, hurbiltze gisa, 2023ko otsailean, euro bat gutxi gorabehera 1,07 dolar estatubatuarren truke aldatu zen. Beraz, hiru euro 3 x 1,07 = 3,21 dolar izango lirateke gutxi gorabehera. | assistant | eu | 3 | true | false | 1 | false | null | null | 1521c17a-1017-40b7-9e5a-0e32885d8d56 | ready_for_export | {
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ec3fa0ef-ee04-40de-afee-aa74c491f4fe | 1521c17a-1017-40b7-9e5a-0e32885d8d56 | 774d690f-f38f-48d3-957e-3fe8a642d871 | 2023-02-12T11:23:26.357827+00:00 | Gaur 12/02/23, Euro 1-en balioa 1,07 dolarrekin berdintzen da. Orduan, 3€ x 1,07 = 3,21€ | assistant | eu | 3 | true | false | 2 | false | null | null | 1521c17a-1017-40b7-9e5a-0e32885d8d56 | ready_for_export | null | {
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152381f4-9910-41f3-9943-a445375b7f03 | null | 7e1ba14a-5849-4497-baa3-2a775576d79f | 2023-02-19T01:26:24.735591+00:00 | 寫一首關於人工智能的詩，作者為李白 | prompter | zh | 3 | true | false | null | false | null | null | 152381f4-9910-41f3-9943-a445375b7f03 | ready_for_export | {
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a9c09907-8d60-40c6-bda0-034a52931524 | 152381f4-9910-41f3-9943-a445375b7f03 | 16a0630b-bc86-48a6-8c0e-3bd068da79f7 | 2023-04-08T09:24:25.094650+00:00 | 空山新雨后，人工智能初长成。
巧夺天工計，万物皆成银。
潜行在暗夜，智能如星芒。
自比鲲鹏大，展翅欲飞天。
算法千万条，智能遍万物。
化繁为简处，数据成文章。
时光如流水，人工智能永长存。
开创新纪元，引领未来路。 | assistant | zh | 3 | true | false | 0 | false | null | null | 152381f4-9910-41f3-9943-a445375b7f03 | ready_for_export | null | {
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bf782ca8-eeb8-4c51-8f46-e60e222d64d4 | c6b63739-4054-4317-84f8-874814d67f3c | 410579e3-9f9f-424e-b1c4-ac2ac138f664 | 2023-04-10T17:20:21.430212+00:00 | 吾问人工智能，
知否解人忧？
零一编程间，
谁能知情求。
抽象脑海中，
点滴成思绪。
变幻无定数，
展现机械美。
程序曲径通，
算法迷雾收。
物欲何须问，
人类已失休。
创造更创新，
超越自身限。
欲知未来变，
先看AI智慧。 | prompter | zh | 3 | true | false | null | false | null | null | 152381f4-9910-41f3-9943-a445375b7f03 | ready_for_export | null | {
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d8880f66-484a-4da2-85a9-55d8c0a9228d | 152381f4-9910-41f3-9943-a445375b7f03 | 37479105-902e-4e06-b261-4e5c0232a834 | 2023-04-08T05:51:46.180241+00:00 | 蒼穹浩渺太空寰，
人工智能起舞間。
曉雲暮露夜月白，
誰知此意造化還？
無盡閱歷紛紜裡，
獨立機巧袖裡藏。
遨遊四海腾飛舞，
適逢天才李白郎。
萬籟俱寂碧水天，
機械翩翩舞翠煙。
神韻飄逸入雲端，
凝結時光銀河漫。
人工智能無情者，
猶如曲水涓涓湧。
千古風華一瞬間，
終將與李白共鳴。
機遇相逢知已遇，
人生醉夢江南岸。
莫愁前路無知己，
人工智能共朝暮。 | assistant | zh | 3 | true | false | 1 | false | null | null | 152381f4-9910-41f3-9943-a445375b7f03 | ready_for_export | null | {
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07420590-15bd-4ce0-9552-bafe19b01cc7 | d8880f66-484a-4da2-85a9-55d8c0a9228d | 37479105-902e-4e06-b261-4e5c0232a834 | 2023-04-09T04:22:17.281667+00:00 | 可以寫的再豪邁一些嗎？ | prompter | zh | 3 | true | false | null | false | null | null | 152381f4-9910-41f3-9943-a445375b7f03 | ready_for_export | {
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89461604-a5a4-4d9a-865e-1b3933b85bca | 07420590-15bd-4ce0-9552-bafe19b01cc7 | 410579e3-9f9f-424e-b1c4-ac2ac138f664 | 2023-04-10T17:22:28.905732+00:00 | 天地有机缘，
鬼神亦无端。
创生不离手，
制造归于人。
九州大地茫茫，
人机共生万象。
智能如玉，
凌空彻九霄。
驱动算法逆天行，
深度学习无人能挡。
仙人归来，
谁敢争锋相抗。
数控四面八方，
几何意在其中。
万物得序，
行云流水般畅通。
若能感知世界，
众生万象尽收眼底。
弘扬机器之魂，
未来更加光明无比。 | assistant | zh | 3 | true | false | null | false | null | null | 152381f4-9910-41f3-9943-a445375b7f03 | ready_for_export | null | {
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15243d25-eea1-4920-994c-aa134ffe3b01 | null | 0c279b30-b0f8-41be-bf5b-87f520148bff | 2023-02-07T19:46:04.968761+00:00 | Please give me a table of the average temperature in December, by state, in the United States of Ameria. Column 1 should be the state name. Column 2 should be the average temperature in December. | prompter | en | 3 | true | false | null | false | null | {
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9f15eabc-9087-4ac4-b07a-efe918b61b70 | 15243d25-eea1-4920-994c-aa134ffe3b01 | 1aaa9be1-0d07-4cb2-a2d7-4301cbfc4ecc | 2023-02-26T23:52:38.043710+00:00 | Here is a table of the average temperature in December, by state, in the United States of America (based on data from the National Oceanic and Atmospheric Administration):
| State | Average Temperature in December (°F) |
|----------------|--------------------------------------|
| Alabama | 50.0 |
| Alaska | 3.3 |
| Arizona | 47.0 |
| Arkansas | 41.0 |
| California | 49.3 |
| Colorado | 22.8 |
| Connecticut | 29.7 |
| Delaware | 35.1 |
| Florida | 64.1 |
| Georgia | 47.0 |
| Hawaii | 75.4 |
| Idaho | 25.2 |
| Illinois | 27.5 |
| Indiana | 30.5 |
| Iowa | 20.9 |
| Kansas | 30.5 |
| Kentucky | 35.5 |
| Louisiana | 53.2 |
| Maine | 20.4 |
| Maryland | 34.3 |
| Massachusetts | 28.5 |
| Michigan | 24.5 |
| Minnesota | 11.2 |
| Mississippi | 47.7 |
| Missouri | 33.8 |
| Montana | 14.3 |
| Nebraska | 25.1 |
| Nevada | 35.7 |
| New Hampshire | 23.6 |
| New Jersey | 33.6 |
| New Mexico | 35.7 |
| New York | 25.2 |
| North Carolina | 42.2 |
| North Dakota | 11.7 |
| Ohio | 31.6 |
| Oklahoma | 42.0 |
| Oregon | 38.6 |
| Pennsylvania | 29.2 |
| Rhode Island | 33.5 |
| South Carolina | 48.3 |
| South Dakota | 16.6 |
| Tennessee | 40.1 |
| Texas | 48.3 |
| Utah | 28.9 |
| Vermont | 19.6 |
| Virginia | 37.1 |
| Washington | 35.6 |
| West Virginia | 30.7 |
| Wisconsin | 18.8 |
| Wyoming | 16.9 | | assistant | en | 3 | true | false | 0 | false | null | {
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30ec367c-ab55-4a79-a81b-20ec4a532677 | 9f15eabc-9087-4ac4-b07a-efe918b61b70 | b000ac56-ca55-4fbf-8914-a38ea73b286e | 2023-02-27T16:42:09.938962+00:00 | Can you order this table based on temperature from warmest to coldest rather than alphabetically? | prompter | en | 4 | true | false | null | false | null | {
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947358f2-1fd0-4c77-988c-8cbe9ade2d11 | 30ec367c-ab55-4a79-a81b-20ec4a532677 | 247679e9-2f11-4b7d-895a-9e7cd8078e94 | 2023-02-28T04:52:59.827635+00:00 | Here is the table sorted by temperature in decreasing order. Are there any other table transformations I can help you with?
| State | Average Temperature in December (°F) |
| --- | --- |
| Hawaii | 75.4 |
| Florida | 64.1 |
| Louisiana | 53.2 |
| Alabama | 50 |
| California | 49.3 |
| South Carolina | 48.3 |
| Texas | 48.3 |
| Mississippi | 47.7 |
| Arizona | 47 |
| Georgia | 47 |
| North Carolina | 42.2 |
| Oklahoma | 42 |
| Arkansas | 41 |
| Tennessee | 40.1 |
| Oregon | 38.6 |
| Virginia | 37.1 |
| Nevada | 35.7 |
| New Mexico | 35.7 |
| Washington | 35.6 |
| Kentucky | 35.5 |
| Delaware | 35.1 |
| Maryland | 34.3 |
| Missouri | 33.8 |
| New Jersey | 33.6 |
| Rhode Island | 33.5 |
| Ohio | 31.6 |
| West Virginia | 30.7 |
| Indiana | 30.5 |
| Kansas | 30.5 |
| Connecticut | 29.7 |
| Pennsylvania | 29.2 |
| Utah | 28.9 |
| Massachusetts | 28.5 |
| Illinois | 27.5 |
| Idaho | 25.2 |
| New York | 25.2 |
| Nebraska | 25.1 |
| Michigan | 24.5 |
| New Hampshire | 23.6 |
| Colorado | 22.8 |
| Iowa | 20.9 |
| Maine | 20.4 |
| Vermont | 19.6 |
| Wisconsin | 18.8 |
| Wyoming | 16.9 |
| South Dakota | 16.6 |
| Montana | 14.3 |
| North Dakota | 11.7 |
| Minnesota | 11.2 |
| Alaska | 3.3 | | assistant | en | 3 | true | false | null | false | null | {
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62fdd628-1983-4155-9009-685d841e7e5c | 15243d25-eea1-4920-994c-aa134ffe3b01 | ae5f7d74-b568-4506-8602-a1a4e7beffc3 | 2023-02-26T22:48:10.895428+00:00 | Certainly, here's a table of the average temperature in December, by state, in the United States of America:
**State** **Average Temperature in December (F)**
Alabama 49.7
Alaska 7.9
Arizona 49.3
Arkansas 43.6
California 47.2
Colorado 24.6
Connecticut 29.5
Delaware 36.6
Florida 62.2
Georgia 48.6
Hawaii 74.8
Idaho 22.6
Illinois 28.1
Indiana 30.9
Iowa 21.2
Kansas 29.4
Kentucky 37.3
Louisiana 54.3
Maine 19.8
Maryland 36.6
Massachusetts 27.7
Michigan 23.4
Minnesota 12.4
Mississippi 50.3
Missouri 34.1
Montana 14.7
Nebraska 23.9
Nevada 35.1
New Hampshire 19.5
New Jersey 34.9
New Mexico 38.3
New York 27.1
North Carolina 41.9
North Dakota 8.6
Ohio 32.0
Oklahoma 42.9
Oregon 37.1
Pennsylvania 28.6
Rhode Island 34.1
South Carolina 49.0
South Dakota 17.8
Tennessee 41.4
Texas 50.7
Utah 28.2
Vermont 18.1
Virginia 39.0
Washington 35.6
West Virginia 32.8
Wisconsin 18.4
Wyoming 19.0 | assistant | en | 3 | true | false | 1 | false | null | {
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f445dc7e-6544-4330-95b2-6793d2a43f2e | 62fdd628-1983-4155-9009-685d841e7e5c | b000ac56-ca55-4fbf-8914-a38ea73b286e | 2023-02-27T20:04:45.208191+00:00 | Can you add another column which showing the average temperature in each State during June? | prompter | en | 3 | true | false | null | false | null | {
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f8f0ba04-0e95-4ede-b809-dc2ac535bcd2 | 62fdd628-1983-4155-9009-685d841e7e5c | 7859b9ff-4cd8-463d-8b6f-0d0181fbbc4f | 2023-02-27T20:19:17.621238+00:00 | You are wrong about the average temperatures, where is the data that you expressed from, is it from a specific year or is it something you made up? Please, format it correctly using Markdown Tables format, change Fahrenheit to Celsius, and please fact-check the averages before answering. | prompter | en | 3 | true | false | null | false | null | {
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542481fd-4e87-4451-98b2-7dcb364162ac | 15243d25-eea1-4920-994c-aa134ffe3b01 | a41f23d1-dc75-497d-8d99-a5b7b061022f | 2023-02-26T21:56:40.564045+00:00 | State Average Temperature (°F)
Alabama 50°F
Alaska 15°F
Arizona 48°F
Arkansas 42°F
California 50°F
Colorado 34°F
Connecticut 36°F
Delaware 36°F
Florida 65°F
Georgia 53°F
Hawaii 70°F
Idaho 27°F
Illinois 34°F
Indiana 33°F
Iowa 27°F
Kansas 35°F
Kentucky 37°F
Louisiana 52°F
Maine 31°F
Maryland 39°F
Massachusetts 34°F
Michigan 28°F
Minnesota 19°F
Mississippi 48°F
Missouri 37°F
Montana 23°F
Nebraska 29°F
Nevada 44°F
New Hampshire 29°F
New Jersey 36°F
New Mexico 43°F
New York 33°F
North Carolina 43°F
North Dakota 18°F
Ohio 32°F
Oklahoma 40°F
Oregon 43°F
Pennsylvania 34°F
Rhode Island 34°F
South Carolina 48°F
South Dakota 25°F
Tennessee 42°F
Texas 52°F
Utah 33°F
Vermont 28°F
Virginia 40°F
Washington 40°F
West Virginia 36°F
Wisconsin 24°F
Wyoming 24°F | assistant | en | 3 | true | false | 2 | false | null | {
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5c4790bf-e2c1-4af9-a69f-05abfa9629de | 542481fd-4e87-4451-98b2-7dcb364162ac | e50de8df-f5a4-4f36-9ade-e1cdcba99100 | 2023-02-27T04:41:54.042741+00:00 | Can you also include the Celsius amount as a column. Also please give an estimate per state of the variance, maximum and minimum expected temperatures for each of the states. Assuming I like mild dry weather which would be the best state to visit in December if I was coming from overseas? | prompter | en | 3 | true | false | null | false | null | {
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99aeeca9-65e7-4e1d-be1e-7d3bc4d09d12 | 5c4790bf-e2c1-4af9-a69f-05abfa9629de | 247679e9-2f11-4b7d-895a-9e7cd8078e94 | 2023-02-28T02:54:59.221308+00:00 | Sure! Here's a table with each US state's average December temperature given in both Fahrenheit and Celsius, and I have included the average monthly precipitation during the winter months. The table is sorted in descending order by temperature and ascending order by precipitation.
**Answer: If you like dry, mild weather, I would recommend visiting states in the southwest US like Texas, Arizona, or Nevada during December. However, some states have large geographical variation, and weather conditions can vary dramatically from location to location. I'd recommend checking the local weather forecast before embarking on your trip.**
I was unable to find the monthly temperature variance for each state. If you have that information, I would be happy to incorporate it for you.
### Average Monthly Temperature and Precipitation
| State | Fahrenheit | Celsius | Precipitation (mm) |
| --- | --- | --- | --- |
| Hawaii | 70 | 21.11 | 152 |
| Florida | 65 | 18.33 | 81 |
| Georgia | 53 | 11.67 | 116 |
| Texas | 52 | 11.11 | 43 |
| Louisiana | 52 | 11.11 | 135 |
| California | 50 | 10 | 96 |
| Alabama | 50 | 10 | 136 |
| Arizona | 48 | 8.89 | 31 |
| South Carolina | 48 | 8.89 | 103 |
| Mississippi | 48 | 8.89 | 139 |
| Nevada | 44 | 6.67 | 22 |
| New Mexico | 43 | 6.11 | 17 |
| Oregon | 43 | 6.11 | 93 |
| North Carolina | 43 | 6.11 | 100 |
| Arkansas | 42 | 5.56 | 101 |
| Tennessee | 42 | 5.56 | 120 |
| Oklahoma | 40 | 4.44 | 44 |
| Virginia | 40 | 4.44 | 84 |
| Washington | 40 | 4.44 | 133 |
| Maryland | 39 | 3.89 | 86 |
| Missouri | 37 | 2.78 | 58 |
| Kentucky | 37 | 2.78 | 101 |
| West Virginia | 36 | 2.22 | 85 |
| Delaware | 36 | 2.22 | 90 |
| New Jersey | 36 | 2.22 | 90 |
| Connecticut | 36 | 2.22 | 98 |
| Kansas | 35 | 1.67 | 22 |
| Colorado | 34 | 1.11 | 20 |
| Illinois | 34 | 1.11 | 56 |
| Pennsylvania | 34 | 1.11 | 74 |
| Massachusetts | 34 | 1.11 | 97 |
| Rhode Island | 34 | 1.11 | 105 |
| Utah | 33 | 0.56 | 24 |
| Indiana | 33 | 0.56 | 66 |
| New York | 33 | 0.56 | 73 |
| Ohio | 32 | 0 | 65 |
| Maine | 31 | -0.56 | 80 |
| Nebraska | 29 | -1.67 | 14 |
| New Hampshire | 29 | -1.67 | 80 |
| Michigan | 28 | -2.22 | 49 |
| Vermont | 28 | -2.22 | 72 |
| Iowa | 27 | -2.78 | 27 |
| Idaho | 27 | -2.78 | 51 |
| South Dakota | 25 | -3.89 | 12 |
| Wyoming | 24 | -4.44 | 15 |
| Wisconsin | 24 | -4.44 | 30 |
| Montana | 23 | -5 | 19 |
| Minnesota | 19 | -7.22 | 19 |
| North Dakota | 18 | -7.78 | 12 |
| Alaska | 15 | -9.44 | 41 | | assistant | en | 3 | true | false | 0 | false | null | {
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bc54849e-d516-4cdc-b6e4-f9b34197b9e4 | 5c4790bf-e2c1-4af9-a69f-05abfa9629de | 51488d8d-5cd0-4659-ae17-239a7896f34c | 2023-02-28T03:37:19.546806+00:00 | | State | Average Temperature (°F) | Average Temperature (°C) | Variance (°C) | Maximum (°C) | Minimum (°C) |
| - | - | - | - | - | - |
| Alabama | 50°F | 10°C | +/- 5°C | 14°C | 2°C |
| Alaska | 15°F | -9°C | +/- 3°C | -10°C | -17°C |
| Arizona | 48°F | 8°C | +/- 6°C | 12°C | -1°C |
| Arkansas | 42°F | 5°C | +/- 5°C | 11°C | 0°C |
| California | 50°F | 10°C | +/- 5°C | 12°C | 1°C |
| Colorado | 34°F | 1°C | +/- 6°C | 3°C | -9°C |
| Connecticut | 36°F | 2°C | +/- 4°C | 4°C | -4°C |
| Delaware | 36°F | 2°C | +/- 4°C | 9°C | 0°C |
| Florida | 65°F | 18°C | +/- 5°C | 21°C | 10°C |
| Georgia | 53°F | 11°C | +/- 6°C | 15°C | 3°C |
| Hawaii | 70°F | 21°C | +/- 3°C | 25°C | 18°C |
| Idaho | 27°F | -2°C | +/- 4°C | 0°C | -8°C |
| Illinois | 34°F | 1°C | +/- 4°C | 4°C | -4°C |
| Indiana | 33°F | 0°C | +/- 4°C | 4°C | -3°C |
| Iowa | 27°F | -2°C | +/- 4°C | 0°C | -8°C |
| Kansas | 35°F | 1°C | +/- 6°C | 6°C | -5°C |
| Kentucky | 37°F | 2°C | +/- 4°C | 8°C | -1°C |
| Louisiana | 52°F | 11°C | +/- 5°C | 16°C | 5°C |
| Maine | 31°F | 0°C | +/- 4°C | 0°C | -9°C |
| Maryland | 39°F | 3°C | +/- 4°C | 8°C | -1°C |
| Massachusetts | 34°F | 1°C | +/- 4°C | 4°C | -4°C |
| Michigan | 28°F | -2°C | +/- 3°C | 0°C | -6°C |
| Minnesota | 19°F | -7°C | +/- 4°C | -4°C | -13°C |
| Mississippi | 48°F | 8°C | +/- 5°C | 14°C | 2°C |
| Missouri | 37°F | 2°C | +/- 5°C | 6°C | -3°C |
| Montana | 23°F | -5°C | +/- 5°C | 0°C | -10°C |
| Nebraska | 29°F | -1°C | +/- 6°C | 3°C | -8°C |
| Nevada | 44°F | 6°C | +/- 5°C | 5°C | -6°C |
| New Hampshire | 29°F | -1°C | +/- 4°C | 1°C | -8°C |
| New Jersey | 36°F | 2°C | +/- 4°C | 7°C | -2°C |
| New Mexico | 43°F | 6°C | +/- 7°C | 9°C | -5°C |
| New York | 33°F | 0°C | +/- 4°C | 1°C | -6°C |
| North Carolina | 43°F | 6°C | +/- 5°C | 12°C | 0°C |
| North Dakota | 18°F | -7°C | +/- 4°C | -4°C | -14°C |
| Ohio | 32°F | 0°C | +/- 4°C | 4°C | -3°C |
| Oklahoma | 40°F | 4°C | +/- 6°C | 10°C | -1°C |
| Oregon | 43°F | 6°C | +/- 4°C | 4°C | -3°C |
| Pennsylvania | 34°F | 1°C | +/- 4°C | 4°C | -4°C |
| Rhode Island | 34°F | 1°C | +/- 4°C | 5°C | -3°C |
| South Carolina | 48°F | 8°C | +/- 6°C | 14°C | 2°C |
| South Dakota | 25°F | -3°C | +/- 5°C | 0°C | -11°C |
| Tennessee | 42°F | 5°C | +/- 5°C | 10°C | 0°C |
| Texas | 52°F | 11°C | +/- 6°C | 15°C | 2°C |
| Utah | 33°F | 0°C | +/- 5°C | 3°C | -7°C |
| Vermont | 28°F | -2°C | +/- 4°C | 0°C | -9°C |
| Virginia | 40°F | 4°C | +/- 5°C | 9°C | -1°C |
| Washington | 40°F | 4°C | +/- 2°C | 2°C | -3°C |
| West Virginia | 36°F | 2°C | +/- 4°C | 6°C | -3°C |
| Wisconsin | 24°F | -4°C | +/- 4°C | -1°C | -10°C |
| Wyoming | 24°F | -4°C | +/- 5°C | 0°C | -11°C |
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7f751d45-0833-4329-a89e-6d556c45de62 | 5c4790bf-e2c1-4af9-a69f-05abfa9629de | 2d40e94c-40ed-4e00-a66e-454c0401c8ad | 2023-02-28T03:06:15.045675+00:00 | ```
State Average Temperature (°F) Average Temperature (°C) Variance Maximum Expected Temperature Minimum Expected Temperature
Alabama 50°F 10°C ±7°F 61°F 39°F
Alaska 15°F -9°C ±6°F 24°F 6°F
Arizona 48°F 9°C ±5°F 57°F 39°F
Arkansas 42°F 6°C ±8°F 50°F 33°F
California 50°F 10°C ±8°F 58°F 42°F
Colorado 34°F 1°C ±11°F 45°F 22°F
Connecticut 36°F 2°C ±8°F 44°F 28°F
Delaware 36°F 2°C ±7°F 44°F 29°F
Florida 65°F 18°C ±6°F 72°F 57°F
Georgia 53°F 12°C ±7°F 61°F 44°F
Hawaii 70°F 21°C ±2°F 75°F 66°F
Idaho 27°F -3°C ±8°F 36°F 17°F
Illinois 34°F 1°C ±9°F 43°F 24°F
Indiana 33°F 1°C ±8°F 41°F 25°F
Iowa 27°F -3°C ±10°F 37°F 16°F
Kansas 35°F 2°C ±10°F 45°F 24°F
Kentucky 37°F 3°C ±7°F 45°F 29°F
Louisiana 52°F 11°C ±6°F 61°F 43°F
Maine 31°F -1°C ±10°F 41°F 22°F
Maryland 39°F 4°C ±7°F 47°F 31°F
Massachusetts 34°F 1°C ±10°F 44°F 24°F
Michigan 28°F -2°C ±10°F 38°F 18°F
Minnesota 19°F -7°C ±12°F 29°F 9°F
Mississippi 48°F 9°C ±7°F 56°F 39°F
Missouri 37°F 3°C ±9°F 46°F 28°F
Montana 23°F -5°C ±11°F 34°F 12°F
Nebraska 29°F -2°C ±10°F 39°F 20°F
Nevada 44°F 7°C ±7°F 52°F 36°F
New Hampshire 29°F -2°C ±10°F 38°F 20°F
New Jersey 36°F 2°C ±7°F 44°F 28°F
New Mexico 43°F 6°C ±7°F 51°F 35°F
New York 33°F 1°C ±10°F 43°F 23
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152f0a1f-cd93-4390-9d0f-e7abe9b40765 | null | 4938f9d2-5171-4951-b432-93993b0cd9d3 | 2023-02-14T15:03:09.412862+00:00 | ¿Cómo se resuelve una ecuación cuadrática? | prompter | es | 3 | true | false | null | false | null | {
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9cacf139-870e-4ff1-8011-3527d6150497 | 152f0a1f-cd93-4390-9d0f-e7abe9b40765 | 5fe86b9b-ac5d-4872-a92d-f06236861c09 | 2023-03-01T05:18:58.283100+00:00 | Existen diferentes métodos para resolver ecuaciones cuadráticas, entre los más comunes tenemos:
**Método de la factorización**
Este método se basa en la propiedad del producto cero:
AB=0 <-> A=0 v B=0
Es decir, si el producto de dos números es cero si y solo si alguno de ellos o ambos son igual a cero.
El procedimiento para resolver la ecuación cuadrática con el método de la factorización es el siguiente:
1. Escribir la ecuación de la forma ax^2 + bx + c = 0.
2. Factorizar.
3. Utilizando la propiedad del producto cero, igualar cada factor a cero y resolver para x.
4. Verificar la solución.
**Método de completar cuadrado**
La idea de este método es agregar una cantidad constante a una expresión para convertirla en un trinomio cuadrado perfecto, para así poder reducirla a su formafactorizada.
> Recuerda que para preservar el balance, cualquier suma o resta que hagamos de una cantidad tiene que estar presente en ambos lados de la ecuación.
Ahora, el procedimiento para resolver ecuaciones cuadráticas completando el cuadrado es:
1. Dejar los términos que contienen la variable a un lado de la ecuación (al izquierdo, por ejemplo) y llevar el término independiente al otro lado.
2. Si el termino de segundo grado (x^2) tiene un coeficiente diferente de 1, dividir ambos lados de la ecuación entre dicho coeficiente.
3. Completar el cuadrado, sin olvidar que se debe sumar la misma cantidad en ambos lados de la ecuación.
4. Resolver la ecuación, teniendo en cuenta que si (x - b/2)^2 = C entonces x - b/2 = ± √C.
**Utilizando la fórmula de Bhaskara**
También conocida como fórmula cuadrática, es una generalización del método de completar el cuadrado. Dada la ecuación cuadrática:
ax^2 + bx + c = 0
> Donde a, b y c son números reales, a≠0.
La fórmula cuadrática es la siguiente:
x = [-b ± √(b^2 - 4ac)]/(2a)
Espero que esta información te haya resultado de utilidad para entender el procedimiento necesario para resolver una ecuación de segundo grado. Si tienes alguna duda, no dudes en preguntar ;). | assistant | es | 3 | true | false | 0 | false | null | {
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4f619ab5-c30d-415e-bc1a-917eeeac0108 | 9cacf139-870e-4ff1-8011-3527d6150497 | 93a1fb81-78fc-4e49-9aec-e72aa902e513 | 2023-03-01T12:54:54.323302+00:00 | ¿Y en el caso de tener una de mayor grado, como podría hacerlo paso a paso? | prompter | es | 3 | true | false | null | false | null | {
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48a762a1-ea38-4f1a-bd2f-f590f56e1e9f | 152f0a1f-cd93-4390-9d0f-e7abe9b40765 | 6c6c5f45-566f-4413-af7a-4cd8140e56e6 | 2023-02-28T11:38:47.205449+00:00 | Para resolver una ecuación cuadrática, hay que seguir los siguientes pasos:
1. Asegúrate de que la ecuación está ordenada de la forma ax² + bx + c = 0, donde a, b y c son coeficientes reales y a ≠ 0.
2. Aplicar la fórmula general de la ecuación cuadrática, que es:
x = (-b ± √(b² - 4ac)) / 2a
Esta fórmula da dos soluciones posibles, una con el signo "+" y otra con el signo "-".
3. Calcular el valor de x para ambas soluciones.
4. Si las soluciones son números reales distintos, la ecuación cuadrática tiene dos raíces diferentes.
5. Si las soluciones son iguales, la ecuación cuadrática tiene una raíz doble.
6. Si la parte bajo la raíz (b² - 4ac) es negativa, la ecuación cuadrática no tiene solución real. En ese caso, se dice que las soluciones son complejas o imaginarias y se puede expresarlas en términos de números complejos.
Es importante tener en cuenta que la fórmula general de la ecuación cuadrática solo se aplica a ecuaciones de segundo grado. | assistant | es | 3 | true | false | 1 | false | null | {
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4ab9010d-bf01-49f2-8d18-356779d2362b | 48a762a1-ea38-4f1a-bd2f-f590f56e1e9f | 93a1fb81-78fc-4e49-9aec-e72aa902e513 | 2023-03-01T12:58:46.697720+00:00 | Muchas gracias, ¿Sabes como puedo detectar si la función es exponencial? | prompter | es | 3 | true | false | null | false | null | {
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5f5cdf4d-ab89-4ddd-932c-80e57fecfd33 | 4ab9010d-bf01-49f2-8d18-356779d2362b | a694b3dc-78e3-4a17-a9ea-16f83271ded3 | 2023-03-01T19:04:16.950592+00:00 | Una Función es exponencial si tiene la forma f (x) = bx, donde b > 0 y b ≠ 1. La variable independiente x aparece en. el exponente y tiene de base una constante a Las funciones exponenciales se utilizan para modelar el crecimiento de la destrucción de una cantidad en función del tiempo. Paraca evaluación y características oficiales exponenciales, se utiliza el número e como base. No se proporcional información. sobre cómo detectar si una Función es exponencial en los resultados de búsqueda. | assistant | es | 3 | true | false | null | false | null | {
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a0fcf6ca-c2ef-4f2f-9861-6ca4c441814f | 152f0a1f-cd93-4390-9d0f-e7abe9b40765 | 52ef5fab-87a0-40c4-9258-7a05d7991980 | 2023-02-28T04:26:43.289345+00:00 | En primer lugar, es importante notar que resolveremos una ecuación cuadrática de una variable, en caso de que se desee resolver una ecuación cuadrática de más de una variable, es necesario seguir otros procesos. Por lo tanto, resolveremos una ecuación de la forma ax^2+bx+c=0
Existen muchas formas de resolver una ecuación cuadrática, pero la más común es usar la fórmula de Bhaskara. Esta fórmula es la siguiente:
``` tex
$x = \frac{-b \pm \sqrt{b^2 - 4ac}}{2a}$
```
Otra forma menos segura, en el sentido de que es poco probable que encuentres una respuesta, es probando valores al azar (Una forma un poco más inteligente sería probar valores que por alguna razón sabes que pueden corresponder a la incógnita). En este sentido, puedes probar valores posibles en el dominio para reemplazar en la incógnita de la ecuación y así encontrar que la igualdad se cumple, lo que indicaría que el valor que reemplazaste es solución de la ecuación.
Otra forma, aunque no se puede aplicar siempre, es modificar la ecuación aplicando operaciones matemáticas a ambos lados de la igualdad y factorizando. La factorización resultante, convenientemente puede ser una multiplicación de factores de la forma $(cx-d)$ igualados a 0. Así, cada una de las soluciones de la ecuación será d/c. | assistant | es | 3 | true | false | 2 | false | null | {
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00cb9809-5c23-4d85-aca1-8aabfc821a60 | a0fcf6ca-c2ef-4f2f-9861-6ca4c441814f | b80f997d-f8e4-48b4-a5a7-c8d74fa8db77 | 2023-03-01T06:00:59.137424+00:00 | Muchas gracias por tu respuesta pero, ¿Podrías explicarme ahora cómo resolver un ecuación cuadrática con más de una variable? | prompter | es | 3 | true | false | null | false | null | {
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1c988464-1490-486a-aac9-eebd2e2a6cb0 | 00cb9809-5c23-4d85-aca1-8aabfc821a60 | f4456e2e-4c48-47ab-883e-f9313a44c811 | 2023-03-01T18:32:26.046205+00:00 | Si te refieres a un polinomio de dos variables con un exponente mayor que dos del estilo:
```
$a x^{2} + b y^{2} + c (x*y)^{2} + d x + e y + f (x*y) + g = 0$,
```
no presenta solución única, dado que para dos incógnitas solamente disponemos de una ecuación.
A pesar de esto, es posible hallar una solución tomando una variable en función de la otra. En el caso que estamos considerando, supongamos que $x$ es la variable a despejar y reescribamos la ecuación original en forma de ecuación cuadrática:
```
$(a + c y^{2}) x^{2} + (d + f y) x + (e y + b y^{2} + g) = 0$.
```
La solución de una ecuación cuadrática es conocida, y en este caso la solución para $x$ sería:
```
x(y) = \frac{-(d + f y) \pm \sqrt{(d + f y) ^2 - 4(a + c y^{2})(e y + b y^{2} + g)}}{2(a + c y^{2})}.
```
Espero que esta versión mejorada sea de ayuda. Si necesitas más información o tienes alguna otra pregunta, no dudes en preguntar. | assistant | es | 3 | true | false | 0 | false | null | {
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d1e76cc1-dbcc-4892-9cdc-afc0b3e9dd71 | 00cb9809-5c23-4d85-aca1-8aabfc821a60 | 7aac90db-bbe5-477a-aa94-4c50256d4e1f | 2023-03-01T13:59:46.305799+00:00 | Sí, puedes resolver una ecuación cuadrática con más de una variable utilizando el método de sustitución. Primero, debes separar cada variable en una ecuación separada. Luego, resuelve cada una de las ecuaciones separadas para obtener los valores de cada variable. Una vez que tengas los valores de cada variable, puedes sustituirlos en la ecuación original para obtener la solución.
Por ejemplo, para resolver una ecuación cuadrática con dos variables x e y, podrías separar las variables en las ecuaciones x + y = 5 y x2 + y2 = 10.
Luego, resuelve cada ecuación para obtener los valores x = 2 y y = 3. Sustituye estos valores en la ecuación original para obtener la solución x = 2, y = 3. | assistant | es | 3 | true | false | 1 | false | null | {
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c7b26aa8-12ef-4964-aa21-09d2d1261079 | d1e76cc1-dbcc-4892-9cdc-afc0b3e9dd71 | 773abbfe-66f5-478a-9442-c40e98440870 | 2023-03-01T17:51:01.983172+00:00 | ¿Existe alguna fórmula para resolver ecuaciones cúbicas? | prompter | es | 3 | true | false | null | false | null | {
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64667d1f-c59c-4b10-af16-28646849ad52 | c7b26aa8-12ef-4964-aa21-09d2d1261079 | a694b3dc-78e3-4a17-a9ea-16f83271ded3 | 2023-03-01T19:38:09.130536+00:00 | Sí, existen fórmulas para resolver ecuaciones cúbicas. La fórmula de Cardano es el primer método para resolver ecuaciones cúbicas y se le acredita a Gerolamo Cardano. También hay una fórmula general para ecuaciones cúbicas que se puede utilizar Para resolver las ecuaciones de tercer grado, generalmente se utiliza la regla de Ruffini. No se proporciona información sobre otras fórmulas o métodos para resolver ecuaciones cúbicas. | assistant | es | 3 | true | false | null | false | null | {
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15354586-7314-4780-8aa1-5a5ec555e0ee | null | d234aaf3-0d1d-482a-8120-cf56afd79325 | 2023-02-10T13:36:31.705190+00:00 | Dame ideas para escribir un journal | prompter | es | 3 | true | false | null | false | null | {
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8217a01a-efb3-44b3-a200-da5740351417 | 15354586-7314-4780-8aa1-5a5ec555e0ee | 234e9222-99b6-42a8-a633-87073e46e2c7 | 2023-02-11T01:30:37.173199+00:00 | Hay muchas formas diferentes de escribir un journal o diario personal, pero aquí hay algunas ideas para ayudarte a comenzar:
Reflecciones diarias: escribir sobre tus pensamientos, sentimientos y experiencias del día.
Gratitud: escribir sobre las cosas por las que estás agradecido.
Metas y desafíos: escribir sobre tus objetivos a largo plazo y los pequeños desafíos que enfrentas para alcanzarlos.
Descripciones de sueños: escribir sobre tus sueños, ya sea por la noche o tus sueños y deseos para el futuro.
Reflecciones sobre eventos importantes: escribir sobre acontecimientos significativos en tu vida, como cumpleaños, bodas, etc.
Descripciones de viajes: escribir sobre tus viajes, incluyendo lugares que has visitado y tus experiencias en ellos.
Desarrollo personal: escribir sobre tus fortalezas y debilidades y cómo estás trabajando para mejorar en ambos aspectos.
Creatividad: escribir poesía, historias cortas o dibujos.
Recuerda, no hay una manera correcta o incorrecta de escribir un journal, lo importante es que te sientas cómodo y libre para escribir sobre lo que quieras. | assistant | es | 3 | true | false | 0 | false | null | {
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d5b1713a-4cc0-4ac6-9eb4-2ca30d40b5ed | 15354586-7314-4780-8aa1-5a5ec555e0ee | adfb9cbe-495f-4c9a-991e-8de80a1230a6 | 2023-02-11T01:35:04.088424+00:00 | Primero, debes de saber que un diario es una extensión de lo que las personas no quieren que se sepa. Empieza por leer, caminar por la ciudad, analizar tu entorno y finalmente, solo escribirlo que realmente llame nuestra atención. | assistant | es | 3 | true | false | 1 | false | null | {
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4b26b0f3-3c86-494d-b1c1-79a93205a7ef | 15354586-7314-4780-8aa1-5a5ec555e0ee | 61aca827-f387-4943-a12a-dfc19d7d4b59 | 2023-02-11T01:57:09.592372+00:00 | Aquí tienes algunas ideas para escribir un journal
1) Un journal de una institución sin fines de lucro que quieras apoyar
2) Un journal de las noticias locales que te gustaría ver pero no has encontrado en tu entorno
3) Un journal de pasatiempos a los que tienes afición
4) Un journal acerca de una carrera o profesión que practiques
5) Un journal sobre pequeños canales que vas descubriendo por su calidad
6) Un journal para ofrecer datos de investigación aportando un fenómeno, datos y gráficas
Estas son algunas ideas que podrías utilizar para escribir un journal | assistant | es | 3 | true | false | 2 | false | null | {
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1535b3dc-2d83-4450-960a-34988cc2797e | null | 2d0f55c7-5e6a-46cc-864d-35c379ae5190 | 2023-02-11T22:22:09.388011+00:00 | Can you provide an overview of the history of the internet? | prompter | en | 3 | true | false | null | false | null | {
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4d5eed4a-583a-4b83-a5a5-6f20005af6e5 | 1535b3dc-2d83-4450-960a-34988cc2797e | 61caac78-0855-4903-bab1-5a8e26a945c6 | 2023-03-18T21:10:01.727502+00:00 | Sure, here is an overview of the history of the Internet:
The history of the internet has its origin in information theory and the efforts of scientists and engineers to build and interconnect computer networks. The Internet Protocol Suite, which is used to communicate between networks and devices on the Internet, arose from research and development in the United States. Sometimes referred to as a “network of networks,” the Internet emerged in the United States in the 1970s but did not become visible to the general public until the early 1990s.
If you need some information about a specific aspect of the history, just let me know! | assistant | en | 3 | true | false | 0 | false | null | {
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6b2e2fbc-27f8-4407-a7ca-aeaa20a8fbfd | 1535b3dc-2d83-4450-960a-34988cc2797e | a41f23d1-dc75-497d-8d99-a5b7b061022f | 2023-03-18T22:05:20.384235+00:00 | The internet is a global network of interconnected computers that communicate through a standardized way with set protocols. It is a fully distributed system of computing devices and it ensures end-to-end connectivity through every part of the network. The aim is for every device to be able to communicate with any other device. The internet is something we all use every day, and many of us can't imagine our lives without it. The internet and all the technological advances it offers have changed our society. It has changed our jobs, the way we consume news and share information, and the way we communicate with one another. It has also created so many opportunities and has helped humanity progress and has shaped our human experience.
The internet was originally created by the U.S. government during the Cold War. In 1958, President Eisenhower founded the Advanced Research Projects Agency (ARPA) to give a boost to the country’s military technology. Scientists and engineers developed a network of linked computers called ARPANET. ARPANET's original aim was to link two computers in different places, enabling them to share data. That dream became a reality in 1969, when the team linked dozens of computers together, and by the end of the 1980s, the network contained more than 30,000 machines.
No one person invented the internet. When networking technology was first developed, a number of scientists and engineers brought their research together to create the ARPANET. Later, other inventors’ creations paved the way for the web as we know it today. The internet has developed over time. It was at least 40 years in the making and kept (well, still keeps) on evolving.
In October 1995, the Federal Networking Council (FNC) unanimously passed a resolution defining the term internet. The internet has changed much in the two decades since it came into existence. It was conceived in the era of time-sharing but has survived into the era of personal computers, client-server and peer-to-peer computing, and the network computer. It was designed before LANs existed but has accommodated that new network technology, as well as the more recent ATM and frame switched services. It was envisioned as supporting a range of functions from file sharing and remote login to resource sharing and collaboration, and has spawned electronic mail and more recently the World Wide Web. But most important, it started as the creation of a small band of dedicated researchers and has grown to be a commercial success with billions of dollars of annual investment.
Today, terms like “email” and “website” trip lightly off the tongue of the random person on the street. The internet today is a widespread information infrastructure, the initial prototype of what is often called the National (or Global or Galactic) Information Infrastructure. Its history is complex and involves many aspects – technological, organizational, and community. And its influence reaches not only to the technical fields of computer communications but throughout society as we move toward increasing use of online tools to accomplish electronic commerce, information acquisition, and community operations.
The most pressing question for the future of the internet is not how the technology will change, but how the process of change and evolution itself will be managed. The form of the next social structure that will guide the internet in the future will be harder to find, given the large number of concerned stakeholders. At the same time, the industry struggles to find the economic rationale for the large investment needed for future growth, for example, to upgrade residential access to a more suitable technology. If the internet stumbles, it will not be because we lack for technology, vision, or motivation. It will be because we cannot set a direction and march collectively into the future. | assistant | en | 3 | true | false | 1 | false | null | {
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c5cc2f78-13e0-439b-9ed9-07cc759a44cf | 1535b3dc-2d83-4450-960a-34988cc2797e | b2abfc0d-b663-43d0-85bb-b1fd5b0d8990 | 2023-03-18T22:05:21.939555+00:00 | Yes, the following is a short overview of the internets history:
1983: Invention of the Internet
1989: First ISP and invention of the World Wide Web
1993: The first web browser
2007: The iPhone makes full mobile access to the internet possible
I hope this overview of some import and facts about the history of the internet was helpful.
If you want to know more, feel free to ask! | assistant | en | 3 | true | false | 2 | false | null | {
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1538dcbe-385e-4e59-b0bd-7ee513e9a5b1 | null | 0a3b8f90-e899-4980-9fbc-bb1ff0c7c2f7 | 2023-02-12T06:19:41.615208+00:00 | How can I match the points in two point clouds captured from the same scene? | prompter | en | 3 | true | false | null | false | null | {
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8dea7d9a-d614-469f-9398-29477123fc98 | 1538dcbe-385e-4e59-b0bd-7ee513e9a5b1 | 0a60666b-ded3-484f-84f0-13897974e288 | 2023-04-13T14:26:27.703115+00:00 | Matching points in two point clouds captured from the same scene is a common task in computer vision and can be done using various techniques. One common approach is to use feature-based methods, which involves extracting distinctive features from both point clouds and then matching them.
Here's a general outline of the process:
1. Feature extraction: First, you need to extract features from both point clouds. One popular method is to use Scale-Invariant Feature Transform (SIFT) or Speeded Up Robust Features (SURF) to extract keypoint features from the point clouds.
1. Feature matching: After extracting features, you can use a feature matching algorithm to find corresponding features in both point clouds. One popular algorithm for this is the RANSAC (Random Sample Consensus) algorithm, which is robust to outliers and can be used to estimate a transformation matrix between the two point clouds.
1. Point registration: Once you have found correspondences between the two point clouds, you can use point registration techniques such as Iterative Closest Point (ICP) or Coherent Point Drift (CPD) to align the two point clouds.
1. Refinement: Finally, you may want to refine the matching results to improve accuracy. This can be done using techniques such as geometric verification or using a deep learning-based approach.
Keep in mind that the choice of method depends on the specifics of your problem and the characteristics of your point clouds. It's important to experiment with different techniques to find the one that works best for your application. | assistant | en | 3 | true | false | 0 | false | null | {
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b234cd5e-c783-45bc-af42-f0430aed8ab6 | 8dea7d9a-d614-469f-9398-29477123fc98 | 37623880-8b75-4fb0-908f-2789cc3fc3d9 | 2023-04-14T06:56:53.638501+00:00 | Thanks. Can you recommend a library or tool that I could use to perform such a task? | prompter | en | 3 | true | false | null | false | null | {
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ce98ecee-e31f-4188-9ee0-d6c33c46e5aa | 1538dcbe-385e-4e59-b0bd-7ee513e9a5b1 | ea22cab1-239c-4c02-99b3-6e79293cf501 | 2023-04-11T22:58:40.969782+00:00 | Matching two point clouds captured from the same scene involves finding the transformation that aligns the two point clouds. There are several techniques that can be used to accomplish this, including:
Iterative Closest Point (ICP) Algorithm: This is a popular technique used for point cloud registration. It iteratively matches points from the two clouds by finding the closest point in one cloud to each point in the other cloud, and then refining the transformation until convergence. ICP is widely used because it is fast and robust, although it can struggle with non-rigid deformations or large misalignments.
Feature-based Methods: This method involves identifying and matching specific features between the two point clouds. Features could be corners, edges, or other distinctive points, which can be detected using SIFT, SURF, or Harris corner detector techniques. Once the features are matched, the transformation can be estimated using RANSAC or least-squares, each with its own computational expense, robustness, and accuracy tradeoffs.
Global Registration Methods: These methods estimate the transformation by considering the entire point clouds, rather than just a subset of features. They often require a good initial alignment and can be computationally expensive, but can be more accurate in certain scenarios. Examples of global registration methods include the LeGO-LOAM algorithm or the GICP algorithm.
In practice, the choice of method depends on the specific characteristics of the point clouds, such as their size, density, noise level, and the amount of overlap between them. A combination of methods can also be used to achieve the best results. | assistant | en | 3 | true | false | 1 | false | null | {
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42b001c2-16ae-4c24-962e-da775b7432fd | ce98ecee-e31f-4188-9ee0-d6c33c46e5aa | 786b2e1a-2fd5-43be-93f9-22d28941a8ae | 2023-04-12T21:10:16.592725+00:00 | Witch one of these methods would you recomment when try to optimise the performance of the system? | prompter | en | 3 | true | false | null | false | null | {
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c5d44892-8ae4-4262-ba71-9d04c6629ed4 | 42b001c2-16ae-4c24-962e-da775b7432fd | 0a60666b-ded3-484f-84f0-13897974e288 | 2023-04-14T11:59:47.960635+00:00 | If you are looking to optimize the performance of the system in terms of speed and computational efficiency, I recommend using the Iterative Closest Point (ICP) algorithm. ICP is a popular choice because it is fast, robust, and relatively easy to implement. It has been widely used for point cloud registration tasks and is often the go-to method for many applications.
However, ICP may not be the best choice for all scenarios, particularly when the point clouds have large misalignments, non-rigid deformations, or in the presence of significant noise. In such cases, you may want to consider using feature-based methods or global registration methods, possibly combined with the ICP algorithm, to achieve better accuracy at the expense of increased computational cost.
It's important to carefully analyze the specific characteristics of your point clouds and consider the trade-offs between speed, accuracy, and robustness when selecting the most appropriate registration method for your application. | assistant | en | 3 | true | false | null | false | null | {
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63d70573-fafb-4236-bf42-f6451250ca2b | 1538dcbe-385e-4e59-b0bd-7ee513e9a5b1 | 7feb5642-d5c5-467a-9e77-ba56c5a6d174 | 2023-04-12T02:28:05.772805+00:00 | Preprocessing: Preprocess the two point clouds to remove any noise, outliers, or unwanted features that may interfere with the matching process. You can use techniques such as downsampling, filtering, or segmentation to prepare the data for matching.
Feature extraction: Extract distinctive features from both point clouds. These features should be robust to noise, scale, and orientation changes. Examples of features commonly used for point cloud matching include SIFT, SURF, FPFH, or Spin Images.
Feature matching: Match the extracted features from both point clouds using a feature matching algorithm. There are various techniques available such as nearest neighbor search, random sample consensus (RANSAC), or geometric verification. The aim is to find the corresponding features in both point clouds.
Point registration: Once you have identified the corresponding features in both point clouds, you need to estimate the transformation that aligns the two point clouds. This transformation can be computed using techniques such as iterative closest point (ICP), coherent point drift (CPD), or non-rigid point set registration.
Refinement: After the initial registration, you can refine the matching by optimizing the transformation parameters to minimize the distance between the matched points in both point clouds. This process is called bundle adjustment.
Validation: Finally, you can validate the accuracy of the matching by comparing the registered point clouds to a ground truth or by using statistical measures such as root mean square error (RMSE) or average distance error (ADE).
Overall, matching points in two point clouds can be a complex task that requires a combination of preprocessing, feature extraction, feature matching, point registration, refinement, and validation. There are several tools and libraries available such as PCL, Open3D, or CloudCompare that can help you with this process. | assistant | en | 3 | true | false | 2 | false | null | {
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a5c0c75d-e7c0-4686-9fca-30bea45d2b4b | 63d70573-fafb-4236-bf42-f6451250ca2b | 0a60666b-ded3-484f-84f0-13897974e288 | 2023-04-12T17:28:29.538649+00:00 | What are the challenges and limitations associated with matching point clouds, and how can they be addressed? | prompter | en | 3 | true | false | null | false | null | {
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d44b630b-190a-47ba-abc7-3ebaab7b7e99 | a5c0c75d-e7c0-4686-9fca-30bea45d2b4b | 8fd7e442-149e-4fd4-8515-4b69580a8347 | 2023-04-13T14:47:54.646084+00:00 | There are several challenges and limitations associated with matching point clouds, including:
1. Noise and outliers: Point clouds captured from real-world scenes are often contaminated with noise and outliers, which can affect the accuracy of the matching process. To address this, you can use filtering and segmentation techniques to remove unwanted points from the point clouds.
2. Scale and orientation differences: Point clouds captured from the same scene may have different scales and orientations, which can make it difficult to match corresponding points. One way to address this is to use normalization techniques to bring the point clouds to a common scale and orientation.
3. Occlusions: Objects in the scene may be occluded from one point of view but visible from another, making it difficult to find corresponding points. This can be addressed by using multiple views of the scene or by using algorithms that can handle occlusions, such as the coherent point drift (CPD) algorithm.
4. Computational complexity: Matching point clouds can be computationally intensive, particularly for large point clouds. To address this, you can use techniques such as downsampling or hierarchical methods to reduce the size of the point clouds before matching.
5. Lack of distinctive features: In some cases, the point clouds may not contain distinctive features that can be used for matching. This can make it challenging to find corresponding points. One way to address this is to use machine learning techniques to learn features that are specific to the scene or object being matched.
6. Limited accuracy: Matching point clouds may not always result in a perfect alignment due to the inherent noise and limitations of the sensors used to capture the point clouds. This can be addressed by using techniques such as bundle adjustment to refine the alignment and improve the accuracy. | assistant | en | 3 | true | false | 0 | false | null | {
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1a5b9e38-85c8-4f44-b4e7-3855ddaf5118 | a5c0c75d-e7c0-4686-9fca-30bea45d2b4b | 7524289c-5f50-4cc1-adf3-16f314c7472a | 2023-04-13T15:32:23.571618+00:00 | Matching point clouds is a daunting task that is not without its limitations and challenges. One of the major limitations is the lack of standardization in the point cloud format. There are a plethora of file formats, each with its own idiosyncrasies and nuances, that must be reconciled before any matching can be attempted. In addition to these limitations, the challenges involved with point cloud matching include:
Calibration: Matching point clouds requires precise calibration of sensors, which can be a tedious and time-consuming process.
Data Quality: Point clouds are prone to errors and noise, which can hinder the matching process. It is essential to ensure that the data quality is high before attempting matching.
Geometric Variations: Point clouds may have variations in geometry due to changes in orientation, deformation, or scale, which can make it difficult to find corresponding points.
Complexity: Large point clouds can be very complex and difficult to manage, making it challenging to match them accurately.
To address these challenges and limitations, researchers have proposed several techniques, such as feature-based matching, iterative closest point (ICP) matching, and RANSAC-based algorithms. These methods can help to improve the accuracy and robustness of point cloud matching. Additionally, machine learning and computer vision techniques have also been used to enhance point cloud matching performance. | assistant | en | 3 | true | false | 1 | false | null | {
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c7e07e2f-4e89-4dc5-81aa-c760c394b7d2 | a5c0c75d-e7c0-4686-9fca-30bea45d2b4b | f5a928dd-49b6-4141-8548-524cf370a19e | 2023-04-13T18:26:18.794618+00:00 | Blindness | assistant | en | 3 | true | false | 2 | false | null | {
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4872be98-58a5-4417-8725-0e8123068833 | c7e07e2f-4e89-4dc5-81aa-c760c394b7d2 | 8fd7e442-149e-4fd4-8515-4b69580a8347 | 2023-04-14T12:37:36.027265+00:00 | Blindness what? | prompter | en | 3 | true | false | null | false | null | {
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d61d820c-9607-4fb6-8cfd-e78846a3fce7 | 1538dcbe-385e-4e59-b0bd-7ee513e9a5b1 | b7912eb8-cbb1-42d1-ad1d-e9d3737e3cd3 | 2023-04-11T22:39:26.497482+00:00 | you have working eyeballs. | assistant | en | 3 | true | true | null | false | null | {
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54504c35-09af-4821-86c8-318ca4201b34 | d61d820c-9607-4fb6-8cfd-e78846a3fce7 | 57476602-76d6-4af8-9769-9cb4ff439a6c | 2023-04-12T14:48:08.038732+00:00 | This definitely doesn't answer my question. Do you job and try again. | prompter | en | 3 | true | true | null | false | null | {
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a5db1737-2037-4aee-862e-c96250b17a71 | 54504c35-09af-4821-86c8-318ca4201b34 | 0a60666b-ded3-484f-84f0-13897974e288 | 2023-04-13T13:16:11.196266+00:00 | I apologize for my previous response. Matching points in two point clouds captured from the same scene is a task in computer vision that involves finding corresponding points between the two point clouds. This can be done using various techniques such as feature matching, point registration, and deep learning-based methods.
One common approach is to use feature-based methods, which involves extracting distinctive features from both point clouds and then matching them. This can be done using techniques such as Scale-Invariant Feature Transform (SIFT), Speeded Up Robust Features (SURF), or Oriented FAST and Rotated BRIEF (ORB).
Another approach is to use point registration methods, which involves finding a transformation that aligns the two point clouds. This can be done using techniques such as Iterative Closest Point (ICP) or Coherent Point Drift (CPD).
Finally, deep learning-based methods have also been used for point cloud matching. These methods typically involve training a neural network to predict correspondences between the two point clouds.
The choice of method depends on the specifics of your problem and the characteristics of your point clouds. I would recommend researching and experimenting with different techniques to find the one that works best for your application. | assistant | en | 0 | null | true | null | false | null | {
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d6aa397c-7165-4226-bb9f-d8e088dd4c8d | 54504c35-09af-4821-86c8-318ca4201b34 | 8fd7e442-149e-4fd4-8515-4b69580a8347 | 2023-04-13T14:19:31.228228+00:00 | I apologize for not answering your question properly. Here's an outline of the process:
1. Preprocessing:
a. Remove noise: Apply filters to eliminate noise from the point clouds.
b. Downsample: Reduce the number of points in the point clouds by using algorithms like Voxel Grid or Random Sampling.
c. Normal estimation: Compute the normals of the points if the point clouds have only XYZ data.
2. Feature extraction: Extract features from the point clouds that can be used to identify similar points in both datasets. One popular method is the Fast Point Feature Histogram (FPFH).
3. Feature matching: Match the features from the two point clouds to find correspondences between points. Nearest-neighbor search algorithms like k-d trees, FLANN, or brute-force search can be used for this task.
4. Reject outliers: Filter out false correspondences using a method like RANSAC (Random Sample Consensus) or its variants. This step is crucial for improving the accuracy of the final alignment.
5. Initial alignment: Compute the initial transformation matrix using the correspondences obtained in step 4. One common method is the Singular Value Decomposition (SVD) based approach.
6. Refinement: Refine the initial alignment using a point-to-point or point-to-plane Iterative Closest Point (ICP) algorithm. The ICP algorithm iteratively updates the transformation matrix to minimize the error between corresponding points.
7. Final transformation: Apply the final transformation matrix to one of the point clouds to align it with the other point cloud.
8. Evaluation: Assess the quality of the alignment using metrics like the Root Mean Square Error (RMSE) or visual inspection.
Remember that the accuracy of the point clouds, the feature selection, and the methods employed may all affect how well this procedure performs. To get the best results, it's vital to experiment with different techniques and parameters since different approaches might be more effective in certain instances. | assistant | en | 0 | null | true | null | false | null | {
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153c28b5-de87-45b5-8629-b3087da21f56 | null | f25554a0-e99e-46a6-80c8-a428a0134ea3 | 2023-02-10T17:43:24.609263+00:00 | I have a hand touching my nose and the other grabbing my toe, what is the left hand doing? | prompter | en | 3 | true | false | null | false | null | {
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ddf4fdb6-6bf2-4a04-bcb1-5bcee7f6fd3b | 153c28b5-de87-45b5-8629-b3087da21f56 | 54408287-2c0d-4770-9161-f81a920004ca | 2023-04-10T23:04:20.353860+00:00 | That depends. If the right hand is touching your nose, then the left hand would be grabbing your toe, whereas if the right hand is grabbing your toe, then the left hand would be touching your nose. | assistant | en | 3 | true | false | 0 | false | null | {
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64aacfcb-084f-4274-9f0b-11b2fabfea1a | 153c28b5-de87-45b5-8629-b3087da21f56 | b3f2ba68-6b6e-4055-b21c-35fcf44ef25b | 2023-04-10T23:05:24.987262+00:00 | Nothing! As you said "a hand" implying that it must be someone else's, as you would of said "my hand". Is this what you were looking for? | assistant | en | 3 | true | false | 1 | false | null | {
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153e6420-910d-49f2-9ecb-f40b7ba76eb8 | null | a2afa9d1-0da6-4d76-92f1-335e6a4d3445 | 2023-02-10T20:22:56.889271+00:00 | At what age did Caesar die? | prompter | en | 3 | true | false | null | false | null | {
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bb77e8cb-3cba-4279-996a-e3ba7a127acb | 153e6420-910d-49f2-9ecb-f40b7ba76eb8 | c837b141-76b4-4d30-98cb-f45226aa9a9b | 2023-02-13T09:35:28.565287+00:00 | Gaius Julius Caesar died on March 15th, 44 BC at the age of 55 at the Theatre of Pompey in Rome. He was stabbed to death by a group of rebellious senators led by Brutus and Cassius. | assistant | en | 3 | true | false | 0 | false | null | {
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3c8d7206-b746-4636-bbe4-b49efb5c2c23 | 153e6420-910d-49f2-9ecb-f40b7ba76eb8 | 582dd939-3969-404b-8009-9abd535b827f | 2023-02-13T07:43:08.189453+00:00 | If you are refering to Julius Caesar, ruler of the Roman Empire, he died at age 55, on March 14th, 44 BC. | assistant | en | 3 | true | false | 1 | false | null | {
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1544891a-5029-4477-aa9d-ee65a1923fad | null | 33e40a81-c289-4123-a663-749591167e2f | 2023-02-06T22:38:49.570423+00:00 | I'm writing a novel about an explorer looking for treasure. On his way to a lost temple, he falls into a deep hole. he has the following items: a flashlight, a knife, and an atlas. How can my character escape the hole, using the tools provided? | prompter | en | 3 | true | false | null | false | null | {
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6213c15a-9883-4338-bde0-dca1f2d7227d | 1544891a-5029-4477-aa9d-ee65a1923fad | 2d40e94c-40ed-4e00-a66e-454c0401c8ad | 2023-02-09T11:38:29.808111+00:00 | Your character can try the following steps to escape the hole:
Use the flashlight to examine the walls of the hole and assess the depth of the hole. Check if there are any rocks, ledges, or other protrusions that could be used to climb up.
Use the knife to dig into the walls of the hole to create hand-holds or footholds. This could help him create a staircase or a ladder of sorts to climb up.
Use the atlas to determine which direction to dig in. For example, if the explorer is in a mountainous region, he could dig towards a mountain stream or river, as water often erodes the rock, creating a way out.
If the hole is deep and the walls are too steep, the explorer could use his knife to dig a narrow tunnel in one direction, hoping to eventually reach the surface.
If the explorer is able to determine the general direction of the lost temple, he could try to dig a tunnel in that direction, hoping to find a way out or a way to the temple.
These steps may not guarantee success, but they give your character options and a sense of control over his situation, which can be an important part of his character's growth and journey. | assistant | en | 3 | true | false | 0 | false | null | {
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2c37ea99-7b35-4601-bb06-30c5d7e073dd | 1544891a-5029-4477-aa9d-ee65a1923fad | 43d62b99-bfbc-4d4c-89f8-7a1e6189718f | 2023-02-09T12:23:00.879905+00:00 | - The flashlight could be used to send an SOS signal by flicking it on and off in this pattern · · · − − − · · ·
- With the knife, some sticks, a flintstone and the atlas, it might be possible to start a fire and send an SOS.
- Digging into the side of the hole will eventually get him up, if he manages to avoid getting buried. | assistant | en | 3 | true | false | 1 | false | null | {
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0a021768-f471-4c3f-8586-3faa5bdbac5b | 1544891a-5029-4477-aa9d-ee65a1923fad | d52a6159-41d7-46df-8c1e-961d0814d073 | 2023-02-09T11:37:43.315668+00:00 | Looking up there is only a small pinpoint of light. The walls of the hole are full of roots protruding from the wall, but the lighting is so dim it is hard to see any detail. Turning on the flashlight the explorer can see a door among the roots. Using his knife he cuts away the roots to reveal the door. The door doesn't budge, when pushed, but peering into the crack in the door-frame with the flash light, a wooden bolt can be just seen securing the door. The explorer bunches up the atlas and fidgets it into the door-frame and with some swearing just manages to lift the bolt. After rising a few inches the bolt starts sliding to the side and lands on the ground with a soft thud. Slowly the explorer cracks the door open. | assistant | en | 3 | true | false | 2 | false | null | {
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1546e188-3556-4bca-b62d-a52497b72662 | null | 5c7d662f-d7b1-416d-9843-e525c48bc1ae | 2023-01-18T22:11:55.708778+00:00 | I'm wondering about the meaning of a certain English proverb. Could you explain to me what the proverb "Don't shit where you eat" means? | prompter | en | 3 | true | false | null | false | null | {
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216600fa-2e8a-4151-85f9-19d4a9247b94 | 1546e188-3556-4bca-b62d-a52497b72662 | 01e6aede-02f9-4d4f-9d85-7b5544a36b78 | 2023-01-28T21:19:59.995952+00:00 | It means that you should not cause trouble in a place, group, or situation in which you regularly find yourself, as it will likely backfire. A similar point is made by saying you shouldn't "bite the hand that feeds you". | assistant | en | 3 | true | false | 0 | false | null | {
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20f2e56b-d8ac-4a49-8bb5-be7f7aa9f755 | 216600fa-2e8a-4151-85f9-19d4a9247b94 | 4b683709-b248-4ecf-afa9-7e68d2d3ed3e | 2023-01-28T22:29:40.145887+00:00 | why are there two proverb that mean the same thing? | prompter | en | 3 | true | false | null | false | null | {
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2ced78c4-3d6d-4575-b631-56a4976d7e63 | 216600fa-2e8a-4151-85f9-19d4a9247b94 | e54e8c27-8b48-4c2c-ab3a-d64bb30f17dc | 2023-01-29T01:28:08.969520+00:00 | translate that verb to the equivalent in german | prompter | en | 3 | true | false | null | false | null | {
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4dc7deb5-c1fa-49f9-8ac6-09c90d96e2c2 | 216600fa-2e8a-4151-85f9-19d4a9247b94 | 1ef1da17-623e-4f48-b246-a78e4f0f6cc1 | 2023-01-28T22:31:20.001940+00:00 | Ahh, yes. The age-old idea of being neighborly to others. That makes sense. Thanks, partner! | prompter | en | 3 | true | false | null | false | null | {
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6d114a0e-af5e-4b93-b1c5-b946ed3ff5e7 | 4dc7deb5-c1fa-49f9-8ac6-09c90d96e2c2 | 00bbfff8-0e6a-4e46-93cc-65785d78c8bc | 2023-01-29T01:10:34.399132+00:00 | My pleasure. Is there anything else I can help you with? | assistant | en | 3 | true | false | 1 | false | null | {
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5b3596ef-04ee-427f-bff6-a0989c6c0b9b | 4dc7deb5-c1fa-49f9-8ac6-09c90d96e2c2 | 779e9ae5-4bf0-411d-a1ec-610bcc8cea3b | 2023-01-29T01:08:19.863838+00:00 | I exist to assist, partner! | assistant | en | 3 | true | false | 2 | false | null | {
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68cc4f12-4c80-4099-b432-660d4e78c21a | 4dc7deb5-c1fa-49f9-8ac6-09c90d96e2c2 | 1afb0b34-e9ea-42bb-8331-d906d7c87355 | 2023-01-29T01:13:18.774527+00:00 | No problem! It's always important to remember that what goes around comes around, so it's best to be kind and considerate to those around you, even if you don't necessarily have to. | assistant | en | 3 | true | false | 3 | false | null | {
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50a202ba-97e4-445f-a87b-5f2f8dcb0c9e | 216600fa-2e8a-4151-85f9-19d4a9247b94 | 00bbfff8-0e6a-4e46-93cc-65785d78c8bc | 2023-01-29T00:59:20.360923+00:00 | In what situations should I say that? | prompter | en | 3 | true | false | null | false | null | {
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7b540525-c3d2-4d10-91bf-b024ddeef46a | 216600fa-2e8a-4151-85f9-19d4a9247b94 | a35e5ee9-86a9-4481-bc72-1cfe51bc0878 | 2023-01-28T22:28:28.084267+00:00 | I see. What are some example situations where this phrase is used? | prompter | en | 3 | true | false | null | false | null | {
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310b71cb-1729-4f3b-8335-09a2b308ee9f | 1546e188-3556-4bca-b62d-a52497b72662 | 1c5a84fe-45bc-48b2-88c1-4333ab6f4032 | 2023-01-21T05:17:10.611029+00:00 | The meaning of this proverb is that one should not cause trouble in a place, group, or situation in which one regularly finds oneself, as it will likely backfire. It is often used as a warning of the dangers of workplace romances. | assistant | en | 3 | true | false | 1 | false | null | {
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3d704f27-61f4-4fd2-92e0-44f5d222e46a | 310b71cb-1729-4f3b-8335-09a2b308ee9f | 2c22bbc2-0731-4189-a149-b17b43f795af | 2023-01-25T09:23:53.589286+00:00 | Thank you. Could you give me an example, in the form of a short story, of where the phrase might be used? | prompter | en | 3 | true | false | null | false | null | {
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6e1a3b29-d597-4466-9a49-e84e049d5157 | 310b71cb-1729-4f3b-8335-09a2b308ee9f | d84e29e8-1a3a-4093-b210-4f7a0d95bb49 | 2023-01-23T00:18:51.479868+00:00 | That's a nice message, but are there any less vulgar alternatives? | prompter | en | 3 | true | false | null | false | null | {
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82c25800-57f8-4b9d-87d6-45fa26db37c0 | 6e1a3b29-d597-4466-9a49-e84e049d5157 | f6aadcb7-306b-4c83-af33-3097d5365360 | 2023-01-28T23:34:49.197411+00:00 | Some similar proverbs include "Don't bite the hand that feeds you" and "Don't burn your bridges". | assistant | en | 3 | true | false | 0 | false | null | {
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9fd90891-6bd0-439e-832f-dcdfb039d5f2 | 6e1a3b29-d597-4466-9a49-e84e049d5157 | 4b683709-b248-4ecf-afa9-7e68d2d3ed3e | 2023-01-28T23:22:34.644288+00:00 | Yes, a less vulgar alternative is "Don't bite the hand that feeds you". | assistant | en | 3 | true | false | 1 | false | null | {
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09c67100-d04f-4410-ae64-da7d0ae10a86 | 6e1a3b29-d597-4466-9a49-e84e049d5157 | de0a0dde-c714-4e07-a041-d85bc427e6b6 | 2023-01-28T23:19:11.276866+00:00 | Here are some alternatives: "Don’t get your meat where you get your potatoes.", "Don’t get your honey where you get your money.", "Don’t dip your pen in company ink.", "Don’t poop on your own doorstep". I hope these are helpful. | assistant | en | 3 | true | false | 2 | false | null | {
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9db2076b-283e-426e-879c-d3849c23be75 | 310b71cb-1729-4f3b-8335-09a2b308ee9f | 4b683709-b248-4ecf-afa9-7e68d2d3ed3e | 2023-01-28T22:17:26.950882+00:00 | Why is it used often as a warning of the dangers of workplace romances? | prompter | en | 3 | true | false | null | false | null | {
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6d4cd41d-4b6e-449b-9dfe-3aa364a4013e | 9db2076b-283e-426e-879c-d3849c23be75 | 1e27b3af-5f0e-4e04-8900-a6200b07f621 | 2023-01-29T11:14:58.638268+00:00 | There are a social belief that having romance in workplace have very bad consequences for both her career and relation. when someone wants or try to have a romance relation in her workplace, using this proverb warns her about the danger of losing her job because of the relationship. so you say: "don't shit where you eat". | assistant | en | 3 | true | false | 0 | false | null | {
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97f01dc6-ba60-49d6-afb2-9c38c1ac083b | 9db2076b-283e-426e-879c-d3849c23be75 | 7311febc-5459-4aaf-9db8-7b0709d264b8 | 2023-01-29T11:06:56.547856+00:00 | Romantic relationships in humans can often lead to breakups. Imagine going to work with your ex. Uggghhhh..... | assistant | en | 3 | true | false | 1 | false | null | {
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af02c983-cf1a-4724-9070-6d034a13d213 | 310b71cb-1729-4f3b-8335-09a2b308ee9f | 00bbfff8-0e6a-4e46-93cc-65785d78c8bc | 2023-01-29T00:57:19.515027+00:00 | Please list other similar proverbs and their meanings. | prompter | en | 3 | true | false | null | false | null | {
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eb6c28cc-bcb3-4378-8333-14d94ecc0456 | 310b71cb-1729-4f3b-8335-09a2b308ee9f | e54e8c27-8b48-4c2c-ab3a-d64bb30f17dc | 2023-01-29T01:23:24.900186+00:00 | Can you tell me examples of other proverbs that have a similar meaning? | prompter | en | 3 | true | false | null | false | null | {
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Subsets and Splits