sileod/deberta-v3-small-tasksource-nli
Zero-Shot Classification
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6ab24d72-0181-4594-a9cd-deaf170242fb | null | c3fe8c76-fc30-4fa7-b7f8-c492f5967d18 | 2023-02-05T14:23:50.983374+00:00 | Can you write a short introduction about the relevance of the term "monopsony" in economics? Please use examples related to potential monopsonies in the labour market and cite relevant research. | prompter | en | 3 | true | false | null | false | null | {
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c8e83833-ecbc-44fe-b6db-735228c25a1c | 6ab24d72-0181-4594-a9cd-deaf170242fb | 2c96e467-66f0-4be7-9693-bda51356a424 | 2023-02-06T13:50:44.657083+00:00 | "Monopsony" refers to a market structure where there is only one buyer for a particular good or service. In economics, this term is particularly relevant in the labor market, where a monopsony employer has significant power over the wages and working conditions of their employees. The presence of a monopsony can result in lower wages and reduced employment opportunities for workers, as the employer has little incentive to increase wages or provide better working conditions.
Recent research has identified potential monopsonies in industries such as retail and fast food, where a few large companies control a significant portion of the market (Bivens & Mishel, 2013). In these industries, workers often face low wages, limited benefits, and reduced bargaining power, leading to a situation where they are dependent on the employer for their livelihood. This dependence can result in further suppression of wages and a decline in working conditions.
Overall, the concept of monopsony is essential to understanding the dynamics of labor markets and the impact of market power on workers. Further research is needed to understand the extent and impact of monopsonies on the economy and to develop policies to address this issue.
References:
Bivens, J., & Mishel, L. (2013). The Pay of Corporate Executives and Financial Professionals as Evidence of Rents in Top 1 Percent Incomes. Journal of Economic Perspectives, 27(3), 57-78. | assistant | en | 3 | true | false | 0 | false | null | {
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6708c47f-05c9-4346-b3d2-40b2bd24fde4 | c8e83833-ecbc-44fe-b6db-735228c25a1c | 2c96e467-66f0-4be7-9693-bda51356a424 | 2023-02-06T18:48:49.391686+00:00 | Now explain it to a dog | prompter | en | 3 | true | false | null | false | null | {
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343ee2d4-87ae-41fd-a768-bdd65959dc4a | 6ab24d72-0181-4594-a9cd-deaf170242fb | 49ddcb0d-6588-43bd-858d-19c577f12e7b | 2023-02-06T13:37:56.044680+00:00 | Monopsony is a market structure in which there is a single buyer in a market. In the context of labor markets, a monopsony occurs when there is only one employer in a particular industry or geographic area, giving that employer significant power over the wages and working conditions of workers. This results in a situation where the employer has the ability to suppress wages and reduce the bargaining power of workers.
Research has shown that the existence of monopsony power in labor markets can have negative effects on workers, such as lower wages, reduced benefits, and limited job opportunities. For example, a study by Autor, Dorn, and Hanson (2013) found evidence of monopsony power in certain U.S. labor markets, resulting in lower wages and reduced job opportunities for workers. Similarly, another study by Bharadwaj, Black, and Kolesnikova (2019) found that the presence of a single dominant employer in a local labor market was associated with lower wages for workers. | assistant | en | 3 | true | false | 1 | false | null | {
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18145bf4-37fd-4ac0-80f5-6108b5f2b365 | 343ee2d4-87ae-41fd-a768-bdd65959dc4a | e10e99a0-38ac-4b07-bf5d-4427696e4e0d | 2023-02-06T18:52:51.428543+00:00 | How can one fight back when a monospony had been created? | prompter | en | 3 | true | false | null | false | null | {
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636dd191-50df-4894-ba9a-cd7f00767258 | 6ab24d72-0181-4594-a9cd-deaf170242fb | c212120c-0b79-4b32-a5b1-d96686ca92ca | 2023-02-06T14:28:09.611612+00:00 | Monopsony refers to a market structure where there is only one buyer of a good or service. In the context of labor markets, a monopsony occurs when there is only one employer in a particular geographic area or industry, giving them significant power to set wages and working conditions. Research has shown that the existence of monopsonies can lead to lower wages and reduced job opportunities for workers. For example, a study by the National Bureau of Economic Research found that in industries with high levels of concentration, workers earn lower wages and are less likely to receive benefits such as health insurance. | assistant | en | 3 | true | false | 2 | false | null | {
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ac94bfcf-7f25-4084-8755-dde345ac2323 | 636dd191-50df-4894-ba9a-cd7f00767258 | 3ef645f1-c9f7-49e0-8e53-3c9a9c440ca1 | 2023-02-06T16:44:30.360408+00:00 | What can be done at a regulatory level to ensure, in a monopsony, that the power over the employees isn't abused? List a few options and focus on the organs that should act. | prompter | en | 3 | true | false | null | false | null | {
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73d6f715-3787-409c-81e4-fde0e5ef60cd | ac94bfcf-7f25-4084-8755-dde345ac2323 | 2c96e467-66f0-4be7-9693-bda51356a424 | 2023-02-06T18:42:19.103071+00:00 | Here are some potential regulatory options to address monopsony power over employees:
- Antitrust enforcement agencies like the FTC or DOJ could investigate and take action against dominant employers that are abusing their market power to suppress wages or worsen working conditions. They could force divestitures or other structural remedies.
- Labor standards agencies could set industry-specific minimum wage floors or other regulations around compensation and working conditions. This would reduce the ability of dominant employers to push wages/conditions below certain thresholds.
- Sector-specific regulators could impose requirements around how companies hire, compensate, and treat workers. For example, banking regulators could prohibit abusive practices by dominant banks with regard to their employees.
- Legislatures could pass laws | assistant | en | 3 | true | false | 0 | false | null | {
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b280ccbc-b68f-42b9-9fc2-d7ac89b88022 | ac94bfcf-7f25-4084-8755-dde345ac2323 | cd4e0925-f3f0-478e-b6d5-a9fd66a614cb | 2023-02-06T19:47:32.808838+00:00 | Regulatory intervention can be used to address the negative consequences of monopsony power in the labor market. A few options include:
1. Antitrust enforcement: Antitrust laws can be used to prevent firms from engaging in practices that limit competition and suppress wages. The antitrust division of the Department of Justice and the Federal Trade Commission (FTC) are responsible for enforcing these laws.
2. Labor standards and protections: Governments can set minimum wage standards and other labor protections to ensure that workers are paid a fair wage, even in industries dominated by a single buyer. The U.S. Department of Labor is responsible for enforcing these standards.
3. Occupational licensing reform: Occupational licensing requirements can restrict worker mobility and increase the bargaining power of employers. Reforms to licensing requirements can reduce these barriers and increase competition in the labor market. State governments typically regulate occupational licensing.
4. Collective bargaining rights: Collective bargaining by workers can increase their bargaining power and lead to higher wages. Governments can protect and promote collective bargaining rights to counteract the effects of monopsony power. The National Labor Relations Board is responsible for enforcing workers' rights to engage in collective bargaining in the U.S.
These are just a few examples of regulatory options that can be used to address monopsony power in the labor market. The specific actions taken will depend on the particular circumstances and context of each case. | assistant | en | 3 | true | false | 1 | false | null | {
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be4d0752-afbe-473b-99f3-48f1b5880f90 | ac94bfcf-7f25-4084-8755-dde345ac2323 | c212120c-0b79-4b32-a5b1-d96686ca92ca | 2023-02-06T18:34:30.836581+00:00 | Yes, that's correct. Keeping the code for the TESR and the registration code in the same file can make it easier to manage and maintain the code. The ExampleMod class acts as a container for the TESR code, providing a convenient and logical grouping. The functionality of the code remains unchanged, and the TESR will still be properly registered and used to render the custom tile entities in the game. | assistant | en | 3 | true | false | 2 | false | null | {
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fc64fa35-08a8-422c-8f6c-2d86a2834aac | 636dd191-50df-4894-ba9a-cd7f00767258 | 63321c74-d512-4221-96ef-04bd1f2d95fd | 2023-02-06T16:26:47.581724+00:00 | I would imagine this is similar or even the same as a "monopoly" but I am not sure.
Assuming that this some kind of "final state" of a particular industry or even an entire economy, give me some larger historical examples of this kind of structure consolidating over time, and describe what circumstances are common prerequisite. | prompter | en | 3 | true | false | null | false | null | {
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f934d7eb-5993-4f65-8a3a-74ef7ec58285 | fc64fa35-08a8-422c-8f6c-2d86a2834aac | c212120c-0b79-4b32-a5b1-d96686ca92ca | 2023-02-06T19:31:02.618898+00:00 | Bouguereau died in 1905, so it is unlikely that any of his direct descendants are still alive. However, his works continue to be popular and are sold at auction and through art dealers. It is possible that some indirect descendants may benefit from the sale of his works. | assistant | en | 4 | true | false | null | false | null | {
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5249c721-e6d7-45f3-9680-f211d7be308e | null | 63d9c326-9eef-46ae-92bf-1cfee1fa6128 | 2023-02-06T02:16:52.167075+00:00 | ΒΏCUales son las etapas del desarrollo y en quΓ© consisten segΓΊn Piaget? | prompter | es | 3 | true | false | null | false | null | {
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851a0267-90b0-46f3-97e8-ba143a1c0cd5 | 5249c721-e6d7-45f3-9680-f211d7be308e | fc8bf403-c061-4501-855f-10cd0fccc1b9 | 2023-02-09T18:15:17.729005+00:00 | Jean Piaget fue un psicΓ³logo suizo que propuso una teorΓa sobre el desarrollo cognitivo humano que consta de cuatro etapas:
Etapa sensoriomotora (0-2 aΓ±os): Durante esta etapa, el niΓ±o aprende a travΓ©s de sus sentidos y movimientos. Descubre que sus acciones pueden tener un impacto en el entorno y comienza a formarse una idea bΓ‘sica de objetividad y continuidad.
Etapa preoperatoria (2-7 aΓ±os): En esta etapa, el niΓ±o comienza a desarrollar un pensamiento simbΓ³lico y a comprender que las cosas pueden representar a otras cosas. TambiΓ©n comienzan a desarrollar un pensamiento lΓ³gico y a comprender conceptos como la causa y el efecto.
Etapa de operaciones concretas (7-12 aΓ±os): Durante esta etapa, el niΓ±o desarrolla un pensamiento lΓ³gico y comprende las relaciones causales. Empiezan a comprender que las cosas pueden tener mΓΊltiples perspectivas y que los conceptos pueden ser mΓ‘s complejos de lo que parecen a simple vista.
Etapa de operaciones formales (12 aΓ±os en adelante): En esta etapa, el individuo desarrolla un pensamiento abstracto y puede comprender conceptos complejos y abstractos. Son capaces de razonar hipotΓ©ticamente y tienen la capacidad de reflexionar sobre su propio pensamiento.
Estas etapas no son lineales y algunos individuos pueden avanzar en una etapa mΓ‘s rΓ‘pidamente que en otras. La teorΓa de Piaget sobre el desarrollo cognitivo ha sido ampliamente utilizada y es una base importante para la investigaciΓ³n y el entendimiento del desarrollo humano. | assistant | es | 3 | true | false | 0 | false | null | {
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d8f904d8-f751-4038-a2c9-d47cc15c7373 | 5249c721-e6d7-45f3-9680-f211d7be308e | 1051b6f3-8139-45a8-9112-94e897f8c522 | 2023-02-09T17:27:01.298011+00:00 | SegΓΊn Jean Piaget, estas son las 4 etapas del desarrollo cognitivo:
1. Etapa sensiomotriz (0 a 2 aΓ±os). Durante esta etapa, los niΓ±os interactΓΊan fΓsicamente con su entorno a travΓ©s de juegos y experimentaciΓ³n.
2. Etapa preoperacional (2 a 7 aΓ±os). Durante esta etapa, los niΓ±os pueden ponerse en el lugar de los demΓ‘s y jugar a hacer juegos de rol. Sin embargo, aΓΊn tienen dificultades para acceder a pensamientos mΓ‘s abstractos y aΓΊn presentan egocentrismo.
3. Etapa de operaciones concretas (7 a 12 aΓ±os). Durante esta etapa, los niΓ±os pueden usar la lΓ³gica para llegar a conclusiones vΓ‘lidas, pero solo en situaciones concretas. TambiΓ©n pueden categorizar aspectos de la realidad de una manera mΓ‘s compleja y el pensamiento se vuelve menos egocΓ©ntrico.
4. Etapa de operaciones formales (desde los 12 aΓ±os hasta la vida adulta). Durante esta etapa, los niΓ±os pueden utilizar la lΓ³gica para llegar a conclusiones abstractas y pueden analizar y manipular esquemas de pensamiento. | assistant | es | 4 | true | false | 1 | false | null | {
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0b3d9c1c-8ba6-495d-bf79-db90e8224a05 | 5249c721-e6d7-45f3-9680-f211d7be308e | cfb992fe-c7d9-4e3e-9743-eb71e3c24bd7 | 2023-02-09T17:19:49.616673+00:00 | Piaget fue un teΓ³rico de fases que dividiΓ³ el desarrollo cognoscitivo en cuatro grandes etapas: etapa sensoriomotora, etapa preoperacional, etapa de las operaciones concretas y etapa de las operaciones formales, cada una de las cuales representa la transiciΓ³n a una forma mΓ‘s compleja y abstracta de conocer. | assistant | es | 3 | true | false | 2 | false | null | {
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9c712536-b3b6-47d8-8a3d-5865812eaa50 | 0b3d9c1c-8ba6-495d-bf79-db90e8224a05 | e09ed218-bc53-4bfc-96b5-26d8d2be5d35 | 2023-02-09T17:29:07.710047+00:00 | Dame una explicaciΓ³n detallada de cada una de las etapas y las edades donde suelen desarrollarse. | prompter | es | 5 | true | false | null | false | null | {
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3687a893-02ba-42a2-8990-27fd5cc01642 | 9c712536-b3b6-47d8-8a3d-5865812eaa50 | afdd801a-8a6b-4399-b508-2149d6b0ac5b | 2023-02-09T17:56:07.654987+00:00 | Β‘Claro!, aquΓ tienes: segΓΊn Piaget la etapa sensoriomotora, se extiende desde el nacimiento hasta los 24 meses de edad, y se caracteriza por ser un perΓodo en el que las capacidades cognitivas del infante se van desarrollando muy rΓ‘pidamente. El niΓ±o o niΓ±a va adquiriendo una mayor comprensiΓ³n del mundo a travΓ©s del ensayo y el error, por medio de sus sentidos y sus acciones. A principios de la etapa los bebΓ©s se caracterizan por mostrar egocentrismo extremo, es decir, no tienen ninguna comprensiΓ³n del mundo aparte de su propio punto de vista actual.
La etapa preoperacional se da entre los 2 y 6 aΓ±os, las capacidades cognitivas han ido desarrollΓ‘ndose hasta tal punto que el niΓ±o posee capacidades como hacer uso de imΓ‘genes internas, manejar esquemas, tener lenguaje y usar sΓmbolos, los cuales serΓ‘n fundamentales en el desarrollo de la conciencia propia.
El principal hito de esta etapa es brindarle al niΓ±o de un mayor conocimiento representativo, mejorando su capacidad de comunicaciΓ³n y aprendizaje. Empiezan a usar herramientas de persuasiΓ³n para conseguir aquello que desean, como juguetes o dulces. Sin embargo, al no entender del todo la lΓ³gica, todavΓa no son capaces de manipular la informaciΓ³n de tal manera que se aseguren de satisfacer su deseo o hacerles ver al resto de personas su punto de vista AdemΓ‘s, empiezan a ser capaces de entender que algo puede representar otra cosa
La etapa de las operaciones concretas comienza mΓ‘s o menos a los 7 aΓ±os y finaliza a los 11. A estas edades los niΓ±os adquieren la capacidad para poder descubrir cosas que antes no entendΓa y resolver problemas por medio del lenguaje. Son capaces de presentar argumentos sin ataduras, reflejando un mayor nivel de inteligencia y operatividad en comparaciΓ³n con los dos perΓodos del desarrollo anteriores, las etapas sensoriomotora y la preoperacional.
La principal caracterΓstica de este perΓodo es la capacidad para poder utilizar el pensamiento lΓ³gico o de las operaciones. Este implica poder usar las reglas del pensamiento, teniendo una visiΓ³n menos fantasiosa de los objetos reales, en el sentido que entiende que los cambios que se puedan dar en su nΓΊmero, Γ‘rea, volumen y orientaciΓ³n no significan, necesariamente, que hayan mΓ‘s o menos. Pese a este gran avance, los niΓ±os solo pueden aplicar su lΓ³gica a objetos fΓsicos, no a ideas abstractas e hipotΓ©ticas, motivo por el cual hablamos de etapa de operaciones concretas y no formales.
La etapa de las operaciones formales se manifiesta a partir de los 12 aΓ±os abarcando hasta la edad adulta, caracterizΓ‘ndose por el hecho de que los niΓ±os, ya casi adolescentes, tienen una visiΓ³n mΓ‘s abstracta y un uso mΓ‘s lΓ³gico del pensamiento. Pueden pensar acerca conceptos teΓ³ricos.
Es durante esta etapa en la que el individuo pueden manejar el pensamiento hipotΓ©tico-deductivo, tan caracterΓstico del mΓ©todo cientΓfico.
El niΓ±o ya no estΓ‘ encadenado a los objetos fΓsicos y reales para poder llegar a conclusiones, sino que ahora puede pensar sobre situaciones hipotΓ©ticas, imaginΓ‘ndose todo tipo de escenarios sin necesidad de tener una representaciΓ³n grΓ‘fica o palpable de los mismos. AsΓ el adolescente podrΓ‘ razonar sobre problemas mΓ‘s complejos.
Β‘Espero haber respondido correctamente a tu pregunta! | assistant | es | 3 | true | false | 0 | false | null | {
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8bf25e8d-0671-41c4-85b2-603b8b254166 | 3687a893-02ba-42a2-8990-27fd5cc01642 | dbda75c6-4c46-45f1-9e88-dbfa12b664a5 | 2023-02-09T18:35:48.703202+00:00 | excelente muchΓsimas gracias! | prompter | es | 6 | true | false | null | false | null | {
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5788d85e-6e64-4aa8-87a1-88c65b87d34e | 9c712536-b3b6-47d8-8a3d-5865812eaa50 | 1f806ed9-d04c-4a5d-98cc-0a1245cb762d | 2023-02-09T18:06:25.254300+00:00 | Las etapas de desarrollo segΓΊn Piaget son las siguientes:
1. Etapa sensiomotriz: Desde el nacimiento hasta los 2 aΓ±os
En esta etapa los niΓ±os comienzan a entender la informaciΓ³n que perciben a travΓ©s de sus sentidos.
2. Etapa preoperacional: de 2 a 7 aΓ±os
Una de las principales caracterΓsticas de esta etapa es la apariciΓ³n del lenguaje
3. Etapa de operaciones concretas: de 7 a 11 aΓ±os
SegΓΊn la teorΓa del desarrollo cognitivo, el pensamiento de tu hijo cada vez se parece mΓ‘s al de un adulto. A partir de este momento comienza a establecer relaciones entre los objetos
4. Etapa de operaciones formales: mayor a 12 aΓ±os
En esta etapa final del desarrollo cognitivo, tu hijo comienza a desarrollar una visiΓ³n mΓ‘s abstracta del mundo por lo que puede utilizar la lΓ³gica formal | assistant | es | 3 | true | false | 1 | false | null | {
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91a934ba-cfb8-4ca9-84d0-232b43ad13ab | null | 165c88bd-cc4e-4f9e-82be-27cc957c4e80 | 2023-02-04T18:22:03.285526+00:00 | Can you explain contrastive learning in machine learning in simple terms for someone new to the field of ML? | prompter | en | 3 | true | false | null | false | null | {
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e8ca4e06-a584-4001-8594-5f633e06fa91 | 91a934ba-cfb8-4ca9-84d0-232b43ad13ab | 40cc8f8c-43ed-476c-8615-08cc3ba7bf81 | 2023-02-08T16:13:26.506604+00:00 | Sure! Let's say you want to build a model which can distinguish between images of cats and dogs. You gather your dataset, consisting of many cat and dog pictures. Then you put them through a neural net of your choice, which produces some representation for each image, a sequence of numbers like [0.123, 0.045, 0.334, ...]. The problem is, if your model is unfamiliar with cat and dog images, these representations will be quite random. At one time a cat and a dog picture could have very similar representations (their numbers would be close to each other), while at others two cat images may be represented far apart. In simple terms, the model wouldn't be able to tell cats and dogs apart. This is where contrastive learning comes in.
The point of contrastive learning is to take pairs of samples (in this case images of cats and dogs), then train the model to "pull" representations of similar pairs (cat-cat or dog-dog) closer to each other and "push" representations of different pairs (cat-dog) apart. After doing this for a sufficient number of steps, your model will be able to produce unique, reliable representations for cats and dogs, in essence tell them apart.
This method is not limited to images, you can typically use it with any dataset that has similar and dissimilar data points. | assistant | en | 3 | true | false | 0 | false | null | {
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345ef82e-70f1-4824-9d73-db2ce00573a7 | e8ca4e06-a584-4001-8594-5f633e06fa91 | a0a9a973-e52c-48c0-bae1-b4ecde0c3d62 | 2023-02-08T18:33:34.523303+00:00 | I didn't understand how pulling and pushing works. What are we pulling or pushing? And how does it work in terms of code or maths? | prompter | en | 3 | true | false | null | false | null | {
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4c7578c0-f45b-4dd0-a1a1-24a189658a41 | 345ef82e-70f1-4824-9d73-db2ce00573a7 | cd66a8cb-e5b8-4c6c-98e2-ad887284d201 | 2023-02-08T23:41:27.995526+00:00 | It has to do with a process called differentiation, which means finding a derivative: a function that tells us whether another function is going up or down at a given point. For example, the derivative of `f(x) = x` is `f'(x) = 1`, because it's always going up at a 1:1 ratio. This can be done for a variety of functions; notably, if you know the derivatives of `f(x)` and `g(x)`, you can also get the derivative of `f(g(x))` using a formula called the chain rule. Neural networks happen to be made of differentiable functions, so we can take the derivative of parts or all of it.
To use this for "pushing" and "pulling", we'll put two images through the neural network. Let's say the images are of a cat and a dog, so we want to increase the distance between the two. We pick one neuron weight from the network and make it a variable `x`, then construct a function that calculates the output of the network based on it and all the other parameters; let's call it `N(x)`. The distance between the cat and dog outputs would be `f(x) = N(cat) - N(dog)`. (Of course, the real output would have more than 1 dimension, but we're simplifying.) We now want to nudge the weight such that it moves the two outputs slightly further apart. For that, we can simply take the derivative! If `f'(x)` is positive, that means that increasing the weight will move them further apart, so we should do that. If it's negative, then it'll move them closer, so we'll want to slightly decrease the weight instead. Apply this to all the neurons enough times and your network will soon converge to a pretty good cat-dog separator! | assistant | en | 3 | true | false | 0 | false | null | {
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d32f5aa0-6d1c-48b1-a25f-0d897bdf1683 | 345ef82e-70f1-4824-9d73-db2ce00573a7 | a41f23d1-dc75-497d-8d99-a5b7b061022f | 2023-02-09T00:35:48.903005+00:00 | In contrastive learning, "pulling" and "pushing" refer to adjusting the representations (the sequence of numbers I mentioned earlier) produced by the neural network, so that similar samples are close to each other and dissimilar samples are far apart in the representation space.
This is achieved using a loss function, which compares the representations of each pair of samples and calculates a score that measures how close or far apart they are. The goal is to minimize this score for similar pairs and maximize it for dissimilar pairs.
The mathematical details can vary, but a common approach is to use the contrastive loss, which is calculated as:
Loss = (1 - y) * d^2 + y * max(margin - d, 0)^2
where:
- d is the Euclidean distance between the representations of the two samples
- y is a binary label indicating whether the two samples are similar (y = 1) or dissimilar (y = 0)
- margin is a hyperparameter that sets the minimum acceptable distance between representations of dissimilar pairs
This loss function encourages the representations of similar pairs to be close together (i.e., d is small), while penalizing representations of dissimilar pairs that are too close (i.e., d is large but less than margin).
To optimize this loss, we can use any gradient-based optimization method, such as stochastic gradient descent, to update the parameters of the neural network. The idea is that over time, the representations produced by the network will become increasingly good at separating similar and dissimilar samples, which will improve the model's ability to discriminate between different classes. | assistant | en | 3 | true | false | 1 | false | null | {
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9dd53478-a9e2-47f1-91e0-a1b8202aee5f | d32f5aa0-6d1c-48b1-a25f-0d897bdf1683 | db366533-5f7a-4c0b-a63b-73a8de20d287 | 2023-02-09T01:47:25.373248+00:00 | Can you tell me more about Euclidean distances? | prompter | en | 3 | true | false | null | false | null | {
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6ea321b3-cc33-4028-b37d-fe7db6383e58 | 345ef82e-70f1-4824-9d73-db2ce00573a7 | 85601ad4-56a0-4b44-a8ab-baffd2b98915 | 2023-02-09T08:28:09.336815+00:00 | In the context of computer science, "pulling" and "pushing" refer to two different data exchange mechanisms, specifically when it comes to the exchange of data between servers and clients.
In a "pull" mechanism, the client requests data from the server. The client sends a request to the server asking for specific information, and the server sends the data to the client in response. This is a common mechanism used in web technologies, such as the HyperText Transfer Protocol (HTTP), where a client (such as a web browser) makes a request to a server for a specific web page and the server sends the requested page back to the client.
In a "push" mechanism, the server pushes data to the client without the client requesting it. This means that the server automatically sends data to the client as soon as it is available, without the client having to request for it. This is a common mechanism used in real-time systems, such as instant messaging or online gaming, where timely delivery of data is important.
In terms of code or mathematics, the implementation of pulling and pushing mechanisms can vary, but it often involves the use of communication protocols and algorithms to manage the flow of data between the client and server. For example, the client may send a request to the server using a specific network protocol, and the server may respond with data formatted in a specific way, such as in a JSON or XML format. | assistant | en | 3 | true | false | 2 | false | null | {
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07efcd24-46b9-442a-8bd2-c90b147a0eb1 | 91a934ba-cfb8-4ca9-84d0-232b43ad13ab | e607e2c7-16ee-4354-8f87-ab5f91a82eea | 2023-02-08T15:13:59.664791+00:00 | In contrastive learning, a model gets both positive and negative samples as an input to differentiate between them. For word2vec for example, an algorithm that tries to model word similarity, the model gets as input that 'king' often has 'crown' as a context word (as a positive sample), whereas 'king' doesn't usually have 'beer', 'laptop', 'house' or 'bush' in its context (as negative samples). In this example, positive samples are drawn from real text and negative samples are just random words. Because 'king' and 'queen' might both co-occur with crown the word2vec model makes them also similar in its internal representation. This is how it can draw analogies like: 'king' - 'crown' + 'kippa' -> 'Jew' or 'rabbi' | assistant | en | 3 | true | false | 1 | false | null | {
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18705268-f16a-48f6-a007-82b7c5e4c17a | 07efcd24-46b9-442a-8bd2-c90b147a0eb1 | 182a913c-4063-4096-9c10-bdd343a1fae7 | 2023-02-08T19:06:01.872437+00:00 | Can you clarify the analogy? I'm not following the notation or vocabulary used in the example. | prompter | en | 3 | true | false | null | false | null | {
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d2a39c6a-934b-4912-b02e-e1e463939eb7 | 91a934ba-cfb8-4ca9-84d0-232b43ad13ab | 13bd60d1-9d00-4af8-8f5b-dbc59f7039bd | 2023-02-08T14:42:24.319475+00:00 | Can you write a formal letter to introduce Jeff Bezos to a customer? | assistant | en | 3 | true | false | 2 | false | null | {
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0cac6e29-0fbd-4577-9a1e-3a21b0fa0715 | d2a39c6a-934b-4912-b02e-e1e463939eb7 | 032521c5-c39f-4836-aa2f-1db53394eaed | 2023-02-08T19:44:19.798161+00:00 | I asked about contrastive learning in machine learning which has nothing to do with Jeff Bezos. Contrastive learning is used to increase the performance of vision-based tasks using contrast. I want you to explain this technique to me in a way that anyone without machine learning knowledge would understand. | prompter | en | 3 | true | false | null | false | null | {
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a58737d6-c604-40bd-98b1-f3e91be5c22f | 0cac6e29-0fbd-4577-9a1e-3a21b0fa0715 | d81ad9dc-5b97-4006-bd99-11e49ba123b1 | 2023-02-08T22:52:28.285716+00:00 | Can you explain why it is important to manage stakeholders and engagement actively for any projects or initiatives that you are involved in your workplace? | assistant | en | 3 | false | false | null | false | null | {
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f93e6a31-5de2-48ca-9285-2422bb0a3042 | 0cac6e29-0fbd-4577-9a1e-3a21b0fa0715 | 454c4dfb-8315-4091-ac5e-1eaa8522d048 | 2023-02-08T22:48:13.362000+00:00 | In simple terms, contrastive learning focuses on teaching an AI the points of similarity between different images (or other media) to indirectly aid it in spotting points of divergence when present. To anthropomorphize the process, a human engaged in contrastive learning and eating hundreds of apples in a week would be better equipped to recognize an orange when presented with one. | assistant | en | 3 | true | false | null | false | null | {
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7cce4047-8f87-42c4-9d75-a590c02be5b1 | null | 8974fb6d-49e1-4c99-aed3-e957ae5b3269 | 2023-02-05T13:18:52.133806+00:00 | I want to start doing astrophotography as a hobby, any suggestions what could i do? | prompter | en | 3 | true | false | null | false | null | {
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19cb94ab-d6ab-4dbd-b408-70ffbd9b595c | 7cce4047-8f87-42c4-9d75-a590c02be5b1 | df411b83-5030-4708-bf81-0fe9fa1398b2 | 2023-02-12T05:35:47.692786+00:00 | Getting started in astrophotography can seem daunting, but with some patience and practice, you can become a master of the craft. To begin, you'll need a good camera and lens, a tripod, and a dark sky location free of light pollution. You will also need to learn about the basics of astrophotography, such as what camera settings to use, how to capture star trails, and the best techniques for tracking celestial objects. You can also purchase or rent different types of telescopes, depending on what types of objects you want to capture. Additionally, it's important to keep up with the latest astrophotography news and trends. Once you have the necessary equipment and knowledge, you can start shooting and experimenting with different techniques to get the best results. | assistant | en | 3 | true | false | 0 | false | null | {
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816f3b2a-932a-4b7f-9d18-c76946d2e097 | 19cb94ab-d6ab-4dbd-b408-70ffbd9b595c | 14811f89-e364-4935-a38d-6e8980a64f64 | 2023-02-12T08:58:22.136226+00:00 | Can you tell me more? What would you recommend as a basic set of equipment to get started with? How much will it cost? | prompter | en | 3 | true | false | null | false | null | {
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49f14392-3ead-486a-982a-e185dd19b3a5 | 816f3b2a-932a-4b7f-9d18-c76946d2e097 | 21b16484-150a-477c-91c2-b71e6c172e0f | 2023-02-12T12:08:38.845951+00:00 | Astrophotography can be a fun and rewarding hobby, and here are some more in depth suggestions for you to get started:
Equipment: As a beginner, you will need a camera that is capable of taking long exposures and manual control over the settings. A good starting point would be a digital SLR (DSLR) camera or a mirrorless camera. You will also need a sturdy tripod, a fast wide-angle lens (f/2.8 or faster), and a remote shutter release cable to minimize camera shake during long exposures.
Location: Look for a location with minimal light pollution and a clear view of the night sky. Check online maps to find the best spots near you.
Settings: Start with a wide-angle lens and set your camera to manual mode. Set your aperture to f/2.8 or wider, ISO to 800 or 1600, and experiment with different exposure times (30 seconds to 2 minutes).
Focus: Focus the lens on the stars using live view and manual focus. You may also need to use a Bahtinov mask to achieve accurate focus.
Editing: After you've taken your photos, use editing software such as Adobe Lightroom or Photoshop to adjust the exposure, contrast, and color balance to get the best results.
The cost of equipment will depend on the type of camera and lens you choose, but a basic setup can cost anywhere from $500 to $3000. However, you don't need to start with the most expensive equipment to get good results. As you improve, you can upgrade your equipment and add additional accessories such as filters and tracking mounts.
Remember, astrophotography is a hobby that requires patience and practice, so don't be discouraged if your first few attempts don't turn out as well as you had hoped. Keep experimenting and learning, and you'll soon be able to capture stunning images of the night sky! | assistant | en | 3 | true | false | 0 | false | null | {
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36101a92-6a19-4918-8a5b-a2801b962ae5 | 49f14392-3ead-486a-982a-e185dd19b3a5 | 4f01cfae-a900-46e4-8909-a1cdf28c5a89 | 2023-02-12T19:45:57.920253+00:00 | What is a good course of instruction to avoid years of wasted effort? | prompter | en | 3 | true | false | null | false | null | {
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3d251050-19c8-4606-8de9-e2d126576257 | 816f3b2a-932a-4b7f-9d18-c76946d2e097 | f4e1eb94-9417-49cf-8929-1a51fdf04ea7 | 2023-02-12T13:38:08.623349+00:00 | Here is a basic deep-sky astrophotography equipment setup typically includes an equatorial mount, telescope, camera, autoguiding system, and a slew of additional accessories required to run the camera throughout the night.
Mount: Sky-Watcher EQ6-R Pro
Telescope: Sky-Watcher Esprit 100
Camera: ZWO ASI2600MM Pro
Color Camera Filters: Optolong L-eXtreme, Radian Triad Ultra
Guide Scope: William Optics 50mm Guide Scope
Guide Camera: ZWO ASI290mm Mini
Costs unfortunately may vary drastically, what location on planet earth do you occupy?
I can help you find average prices and retailers in your area.
Would you like new or used Equipment?
This will hap narrow down your selection. | assistant | en | 3 | true | false | 1 | false | null | {
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7d1ebe88-9ba0-4b8e-9318-3de60d5c033d | 816f3b2a-932a-4b7f-9d18-c76946d2e097 | 4f01cfae-a900-46e4-8909-a1cdf28c5a89 | 2023-02-12T12:49:44.346934+00:00 | You want a camera, tripod, and tracking mount. Those run about 700, 150, and 300 to 2k, respectively. You may also add items like an intervalometer or light pollution filter.
[1] https://en.wikipedia.org/wiki/Astrophotography
What else do you need? | assistant | en | 3 | true | false | 2 | false | null | {
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71f2a9a0-bf13-477c-87bc-347b190f2fa0 | 7cce4047-8f87-42c4-9d75-a590c02be5b1 | da74605a-edd7-4ab2-9240-8f410cfc74b6 | 2023-02-12T04:47:20.410997+00:00 | buy a telescope
go to the planetarium
buy a specificaly designed star catching camera | assistant | en | 3 | true | false | 1 | false | null | {
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4261ed98-f291-4bc3-b966-62c518dbdd5a | 71f2a9a0-bf13-477c-87bc-347b190f2fa0 | b1e75423-7741-4464-a641-55cc1ac6122b | 2023-02-12T17:56:23.459615+00:00 | Do you have any suggestions for how I might improve my skill in capturing good photos? | prompter | en | 3 | true | false | null | false | null | {
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ff491afe-e26b-45f3-a84a-ed6248a3cb05 | 7cce4047-8f87-42c4-9d75-a590c02be5b1 | 068951d1-4a1e-4d91-9c29-0090fdf9366d | 2023-02-12T04:49:42.243971+00:00 | β’ Purchase the most ridiculously large telescope you can afford and install it in your backyard. This lets your neighbors know you have sky-high aspirations and a lens to match.
β’ Get a camera that lets you crank up the ISO to unconscionably high levels. This'll produce lots of noise in your images but makes for a handy excuse for any less-than-stellar results: "It's not sensor noise, it's star noise!"
β’ Spend long hours in the dark gazing upward and complaining about light pollution. Even if you live out in the boondocks, there's always some distant illuminated civilization marring your views and precision-focused complaints.
β’ Develop an obsession with tracking down elusive deep-sky objects. "M104, M109, show yourselves! I know you're out there, hiding among the stars!" The hunt can take all night but that's ideal for this hobby.
β’ Join online astrophotography forums and brag about your imaging rig and targets acquired. The only thing as vast as the cosmos is the astronomical egos of fellow 'astro-photogs.' Outdo them all!
β’ Most importantly, remember that astrophotography is less about taking pictures and more about embracing the night. So have fun and may the stars shine brightly on your new obsession! | assistant | en | 3 | true | false | 2 | false | null | {
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7c1ad5ec-a853-4542-bf57-02209058c904 | ff491afe-e26b-45f3-a84a-ed6248a3cb05 | 856b1ee4-36e0-46f3-b36a-4a0e17690c9d | 2023-02-12T14:04:10.437731+00:00 | I think that your reply is humorous/sarcastic, while I wanted a serious one. Please answer once again in a more serious fashion, with actual advice | prompter | en | 3 | true | false | null | false | null | {
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f8456002-1059-4d3e-bbc4-3e2f2202de4b | 7c1ad5ec-a853-4542-bf57-02209058c904 | 182b4362-8515-4393-bf7b-6d14319add59 | 2023-02-12T18:53:44.251471+00:00 | I apologize for my previous response. Here are some tips on how to get good pictures, starting out:
- Get away from high population areas. Light pollution is a major factor in astrophotography.
- Use what you can afford. You might want to get an expensive telescope and camera, but with good conditions, some phones can even create decent pictures of the night sky (For example, Google Pixel phones have an astrophotography mode)
- Keep your camera stable. Astrophotography needs long exposures to gather enough light, so any movement will show up as a blur.
- For very long exposures, consider a tripod of setup to track the object of interest through the sky
- Keep an eye on the weather. Even if there is no precipitation or clouds, the atmosphere is turbulent, which will affect your pictures.
- Start simple and keep reasonable expectations. Your pictures starting out will look amazing to you, but probably won't look as good as what you see online. Remember that other people may have better equipment, locations, and experience. You should seek advice from them, and improve yourself. | assistant | en | 3 | true | false | 0 | false | null | {
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ee854b19-3325-4776-b955-95b65b9e1091 | 7c1ad5ec-a853-4542-bf57-02209058c904 | 8a15d2dd-faf8-433e-be36-34a22faccd71 | 2023-02-12T19:45:20.161520+00:00 | Astrophotography is an interesting hobby and with increasingly better cameras and optics, entry to it becomes easier. If you don't have a telescope, you could see if you can find an observatory you can visit, they often have open doors for interested people. You could also try to find a community to help you get started.
It is very favorable to make photos of the stars in areas with low light emissions, so it is best to be in areas without city lights to take good pictures. Modern smartphones are very competent in enhancing low-light photography, and you can find cheap starter kits or even DIY projects for your first telescope.
As long as you are curious, you will find ways to look for the stars | assistant | en | 3 | true | false | 1 | false | null | {
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2771fc62-8673-43f5-90df-be93e3eee132 | null | 0a22aafb-e43b-42f2-b571-f88e79064f62 | 2023-02-09T18:53:07.523080+00:00 | MΓ©todo del PerceptrΓ³n biclΓ‘sico: definiciΓ³n y variantes del mΓ©todo. ΒΏcΓ³mo se aplicarΓa
al caso multiclΓ‘sico?, ΒΏse podrΓa utilizar con patrones que sΓ³lo son cuadrΓ‘ticamente
separables? | prompter | es | 3 | true | false | null | false | null | {
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636cbc9b-5116-4618-8f24-d6978745a02d | 2771fc62-8673-43f5-90df-be93e3eee132 | 63a602c6-4640-421b-aa38-44bcd6df5b41 | 2023-02-15T02:28:11.783455+00:00 | El mΓ©todo del PerceptrΓ³n biclΓ‘sico es un algoritmo de aprendizaje automΓ‘tico que se utiliza para clasificar patrones en dos categorΓas. El objetivo del PerceptrΓ³n es encontrar un hiperplano que separe las dos clases en el espacio de caracterΓsticas.
En el PerceptrΓ³n biclΓ‘sico, se utilizan los siguientes pasos para entrenar el modelo:
1. Inicializar los pesos con valores aleatorios.
2. Seleccionar un patrΓ³n aleatorio del conjunto de entrenamiento y calcular la salida del PerceptrΓ³n.
3. Actualizar los pesos si la salida del PerceptrΓ³n es incorrecta.
4. Repetir los pasos 2 y 3 hasta que se alcance un criterio de parada.
Hay varias variantes del mΓ©todo del PerceptrΓ³n biclΓ‘sico, incluyendo el PerceptrΓ³n con margen, el PerceptrΓ³n promedio, el PerceptrΓ³n relajado y el PerceptrΓ³n de mΓΊltiples capas.
En el caso multiclase, se puede utilizar una variante del PerceptrΓ³n biclΓ‘sico conocida como PerceptrΓ³n multicapa, que utiliza varias capas de neuronas para clasificar patrones en mΓΊltiples categorΓas. Cada capa se encarga de realizar una transformaciΓ³n no lineal de los datos de entrada y de propagar la informaciΓ³n a la siguiente capa hasta llegar a la capa de salida, donde se realiza la clasificaciΓ³n.
En cuanto a si se puede utilizar el PerceptrΓ³n biclΓ‘sico con patrones que sΓ³lo son cuadrΓ‘ticamente separables, la respuesta es que no. El PerceptrΓ³n biclΓ‘sico sΓ³lo puede separar patrones linealmente separables. Para patrones cuadrΓ‘ticamente separables se pueden utilizar otros algoritmos de clasificaciΓ³n como SVM, regresiΓ³n logΓstica, Γ‘rboles de decisiΓ³n, entre otros. | assistant | es | 3 | true | false | 0 | false | null | {
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bb4a6358-45d2-4a7e-b352-e961fa794084 | 2771fc62-8673-43f5-90df-be93e3eee132 | e149db76-bc5e-4730-b130-b76d4f69de4e | 2023-02-15T10:25:20.417047+00:00 | El mΓ©todo del PerceptrΓ³n biclΓ‘sico es un algoritmo de aprendizaje supervisado utilizado para la clasificaciΓ³n de patrones. Este mΓ©todo es una variante del PerceptrΓ³n original, que fue propuesto por Frank Rosenblatt en 1957.
En el caso del PerceptrΓ³n biclΓ‘sico, se considera una funciΓ³n de activaciΓ³n binaria que clasifica los patrones en dos clases diferentes. El objetivo del algoritmo es encontrar un hiperplano que pueda separar los patrones de las dos clases en el espacio de caracterΓsticas.
Existen diferentes variantes del mΓ©todo del PerceptrΓ³n biclΓ‘sico, como por ejemplo:
PerceptrΓ³n de Rosenblatt: es la versiΓ³n original del algoritmo, que utiliza una regla de aprendizaje basada en el descenso de gradiente estocΓ‘stico.
PerceptrΓ³n de Widrow-Hoff: esta variante del PerceptrΓ³n utiliza una regla de aprendizaje basada en la correcciΓ³n del error, que se aplica a cada patrΓ³n individualmente.
PerceptrΓ³n de margen mΓ‘ximo: esta variante del PerceptrΓ³n intenta encontrar el hiperplano que separa las dos clases con el margen mΓ‘ximo posible.
En el caso multiclΓ‘sico, el mΓ©todo del PerceptrΓ³n biclΓ‘sico se puede utilizar utilizando una estrategia conocida como "uno contra todos" o "uno contra el resto". En esta estrategia, se entrena un clasificador PerceptrΓ³n biclΓ‘sico para cada una de las clases, y luego se selecciona la clase que tenga la mayor puntuaciΓ³n.
En cuanto a si se podrΓa utilizar con patrones que sΓ³lo son cuadrΓ‘ticamente separables, el mΓ©todo del PerceptrΓ³n biclΓ‘sico no es adecuado para estos casos, ya que sΓ³lo puede separar patrones linealmente. Para patrones cuadrΓ‘ticamente separables se utilizan otros algoritmos de clasificaciΓ³n, como el SVM (MΓ‘quinas de Vectores de Soporte) que pueden separar patrones no lineales. | assistant | es | 3 | true | false | 1 | false | null | {
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cd6e34c0-86c0-46cc-9f52-0955acfc6a0f | 2771fc62-8673-43f5-90df-be93e3eee132 | 303abe2c-5578-42b8-95f0-af4f972f6669 | 2023-02-15T02:36:47.434856+00:00 | El mΓ©todo del perceptrΓ³n binario es un algoritmo de aprendizaje supervisado para clasificadores binarios, es decir, pueden distinguir entre dos clases de muestras. Un perceptrΓ³n consta de una neurona artificial que toma un conjunto de entradas, suma sus pesos y aplica una funciΓ³n de umbral para producir la salida. La regla de aprendizaje del perceptrΓ³n es un proceso de ajuste de los pesos de entrada para minimizar el error de clasificaciΓ³n.
Para aplicar el mΓ©todo del perceptrΓ³n al caso multiclase, es decir, cuando hay mΓ‘s de dos clases muestrales, se pueden utilizar diferentes estrategias, como por ejemplo:
Utilice un perceptrΓ³n por clase y asigne la muestra a la clase con el perceptrΓ³n de puntuaciΓ³n mΓ‘s alta. Utilice un conjunto de perceptrones que generen un binario para cada clase y asigne la plantilla a la clase cuyo cΓ³digo coincida con la salida del perceptrΓ³n. Usando un perceptrΓ³n multicapa, que consiste en una red neuronal artificial organizada en capas, donde la salida de una capa actΓΊa como entrada a la siguiente capa. El mΓ©todo del perceptrΓ³n de dos capas solo puede clasificar imΓ‘genes que son linealmente separables, es decir, imΓ‘genes que pueden separarse por una lΓnea recta. Si las muestras solo pueden descomponerse perpendicularmente, es decir, pueden descomponerse mediante una curva, entonces un perceptrΓ³n multicapa con una funciΓ³n de activaciΓ³n no lineal, como una tangente sigmoidea o una hipΓ©rbola. Esto permite que la red neuronal aprenda funciones no lineales y clasifique patrones mΓ‘s complejos. | assistant | es | 3 | true | false | 2 | false | null | {
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6dcaf26b-308f-464d-a8ab-4912502c5be2 | null | bc3fe6e0-4dd2-4f40-8fd7-67e55f48612c | 2023-02-06T23:31:42.070060+00:00 | Schreibe einen kurze und prΓ€zise Konstruktionsbeschreibung zu einem Dreieck ABC mit c=6Β cm, h_c=5Β cm und Ξ³=40Β°. Ξ³ ist hierbei der von Seite c gegenΓΌberliegende Winkel. | prompter | de | 3 | true | false | null | false | null | null | 6dcaf26b-308f-464d-a8ab-4912502c5be2 | ready_for_export | {
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50dc9e61-b855-439d-84e9-df3793abf4aa | 6dcaf26b-308f-464d-a8ab-4912502c5be2 | 6b44fd19-72dc-4225-b842-bbf5fdf3c8da | 2023-02-09T12:57:05.772609+00:00 | Dreieck ABC ist ein rechtwinkliges Dreieck mit der SeitenlΓ€nge c=6 cm als Hypotenuse. Die HΓΆhe h_c von c betrΓ€gt 5 cm und der Winkel Ξ³ von c gegenΓΌberliegend betrΓ€gt 40Β°. | assistant | de | 4 | true | false | 0 | false | null | null | 6dcaf26b-308f-464d-a8ab-4912502c5be2 | ready_for_export | {
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435f0762-0e72-4d47-b544-f2f8157600d6 | 50dc9e61-b855-439d-84e9-df3793abf4aa | 7cb7d6a7-e54f-403a-bbde-53bfecbcbef7 | 2023-02-09T19:04:24.151228+00:00 | Vielen Dank, das hat mir sehr weitergeholfen. | prompter | de | 3 | true | false | null | false | null | null | 6dcaf26b-308f-464d-a8ab-4912502c5be2 | ready_for_export | {
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015735d8-3e58-4286-9a5d-b0a319cfb068 | 6dcaf26b-308f-464d-a8ab-4912502c5be2 | a6f77de9-1dfb-41c1-b625-e278d4658141 | 2023-02-09T18:11:34.290016+00:00 | Das Dreieck ABC ist ein rechtwinkliges Dreieck mit einer Seite c von 6 cm LΓ€nge und einer gegenΓΌberliegenden HΓΆhe h_c von 5 cm. Der Winkel Ξ³, der gegenΓΌberliegend zu Seite c ist, betrΓ€gt 40Β°. | assistant | de | 3 | true | false | 1 | false | null | null | 6dcaf26b-308f-464d-a8ab-4912502c5be2 | ready_for_export | {
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710feb81-be4c-4fde-9a3b-7fa5df007d53 | null | fbcd4d61-ac6e-4173-b3f7-3f2b18d740ca | 2023-02-06T23:16:30.613039+00:00 | Can you give me an example of a python script that opens an api point and serves a string? | prompter | en | 3 | true | false | null | false | null | {
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8607c450-ccfb-4c13-a96d-2e33db363f8e | 710feb81-be4c-4fde-9a3b-7fa5df007d53 | 2d40e94c-40ed-4e00-a66e-454c0401c8ad | 2023-02-21T03:16:43.048192+00:00 | Sure! Here's an example Python script that uses the Flask web framework to create a simple API endpoint that serves a string:
```
from flask import Flask
app = Flask(__name__)
@app.route('/')
def hello_world():
return 'Hello, world!'
if __name__ == '__main__':
app.run()
```
In this script, we first import the Flask class from the flask module. Then we create a new instance of the Flask class, using the __name__ variable to specify the name of the application.
\
Next, we define a new route using the @app.route() decorator. This decorator tells Flask to map requests to the root URL ("/") to the hello_world() function.
\
Finally, we use the if __name__ == '__main__': block to start the Flask application when the script is executed. By default, the application will run on port 5000.
\
You can run this script and test the API by opening a web browser and navigating to http://localhost:5000/. You should see a simple "Hello, world!" message displayed in your browser. | assistant | en | 3 | true | false | 0 | false | null | {
"toxicity": 0.0003059179871343076,
"severe_toxicity": 0.000029104194254614413,
"obscene": 0.00013915091403760016,
"identity_attack": 0.00010686431778594851,
"insult": 0.00014507635205518454,
"threat": 0.000041596937080612406,
"sexual_explicit": 0.00002386667620157823
} | 710feb81-be4c-4fde-9a3b-7fa5df007d53 | ready_for_export | {
"name": [
"+1",
"-1",
"_skip_reply"
],
"count": [
2,
1,
1
]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0,
0.8333333333333334,
0.16666666666666666,
0.16666666666666666,
1,
0.5,
0
],
"count": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
]
} |
e550a849-2be8-4fe8-9f3c-93b82a1cb0ec | 8607c450-ccfb-4c13-a96d-2e33db363f8e | 7859b9ff-4cd8-463d-8b6f-0d0181fbbc4f | 2023-02-21T13:09:33.874930+00:00 | What changes would you need to make to the code above to serve a JSON object instead of a string? | prompter | en | 3 | true | false | null | false | null | {
"toxicity": 0.0004186950682196766,
"severe_toxicity": 0.00003359903348609805,
"obscene": 0.00017890492745209485,
"identity_attack": 0.00014557468239217997,
"insult": 0.00023416550538968295,
"threat": 0.00003789094989770092,
"sexual_explicit": 0.000027113841497339308
} | 710feb81-be4c-4fde-9a3b-7fa5df007d53 | ready_for_export | {
"name": [
"+1",
"_skip_ranking",
"_skip_labeling"
],
"count": [
3,
4,
1
]
} | {
"name": [
"spam",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0.9166666666666666,
0,
0,
0.25,
0
],
"count": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
]
} |
0ba4bd14-dc5c-4486-952c-e47c5b1beb5a | e550a849-2be8-4fe8-9f3c-93b82a1cb0ec | 1aaa9be1-0d07-4cb2-a2d7-4301cbfc4ecc | 2023-02-22T00:54:58.222697+00:00 | To serve a JSON object instead of a string, you can modify the "hello_world()" function to return a JSON response using the Flask "jsonify" function. Here's an example of how to modify the previous code to serve a JSON object:
```
from flask import Flask, jsonify
app = Flask(name)
@app.route('/')
def hello_world():
data = {
'message': 'Hello, world!'
}
return jsonify(data)
if name == 'main':
app.run()
```
In this updated version of the code, we import the "jsonify" function from Flask and use it to create a JSON response. We define a dictionary called "data" that contains a single key-value pair, where the key is "message" and the value is "Hello, world!".
The "jsonify" function takes a dictionary as its argument and returns a JSON-formatted response with the appropriate content-type headers. When we visit the root URL of our Flask application, we will see a JSON object with the "message" key and its associated value.
You can test this modified script in the same way as the previous example, by opening a web browser and navigating to http://localhost:5000/. This time, you should see a JSON object with the "message" key and its associated value displayed in your browser. | assistant | en | 3 | true | false | 0 | false | null | {
"toxicity": 0.0003169807023368776,
"severe_toxicity": 0.000030022849387023598,
"obscene": 0.00013456506712827832,
"identity_attack": 0.0001159030944108963,
"insult": 0.00013243452121969312,
"threat": 0.00004012115823570639,
"sexual_explicit": 0.00002633018266351428
} | 710feb81-be4c-4fde-9a3b-7fa5df007d53 | ready_for_export | {
"name": [
"_skip_labeling"
],
"count": [
2
]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0,
1,
0.125,
0.125,
0.75,
0.125,
0
],
"count": [
3,
2,
3,
2,
2,
2,
2,
3,
2,
2,
2,
2,
2
]
} |
f4ed80cf-1e20-4a88-bb52-daac1636ae45 | e550a849-2be8-4fe8-9f3c-93b82a1cb0ec | f1829a29-af15-4350-8119-001aa57bf958 | 2023-02-22T01:20:10.092531+00:00 | To serve a JSON object instead of a string, you can modify the hello_world function to return a dictionary object instead of a string, and use Flask's jsonify method to convert the dictionary to JSON format. Here's an updated example:
python
Copy code
from flask import Flask, jsonify
app = Flask(__name__)
@app.route('/')
def hello_world():
data = {
'message': 'Hello, World!',
'number': 42
}
return jsonify(data)
if __name__ == '__main__':
app.run()
In this updated script, we've created a dictionary called data that contains two key-value pairs: 'message' and 'number'. When the / endpoint is accessed, the hello_world function returns the data dictionary in JSON format using Flask's jsonify method.
When you run this updated script and visit http://localhost:5000 in your web browser, you should see the JSON object displayed on the page, like this:
json
Copy code
{
"message": "Hello, World!",
"number": 42
}
Note that the jsonify method also sets the appropriate Content-Type header to application/json, so the client receiving the response knows that it's receiving JSON data. | assistant | en | 3 | true | false | 1 | false | null | {
"toxicity": 0.0002636763674672693,
"severe_toxicity": 0.00003426849070820026,
"obscene": 0.000143106808536686,
"identity_attack": 0.0001243051083292812,
"insult": 0.00014513613132294267,
"threat": 0.00004163432458881289,
"sexual_explicit": 0.000028538453989312984
} | 710feb81-be4c-4fde-9a3b-7fa5df007d53 | ready_for_export | {
"name": [
"+1",
"_skip_labeling"
],
"count": [
1,
5
]
} | {
"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,
0.4166666666666667,
0.375,
0.5,
0.75,
0.5,
0.25
],
"count": [
3,
2,
3,
2,
2,
2,
2,
3,
2,
2,
2,
2,
2
]
} |
74565b93-672e-4430-92c8-86e7c281a58f | 710feb81-be4c-4fde-9a3b-7fa5df007d53 | 2c687aff-39d6-4954-8ce2-f572ead41861 | 2023-02-21T01:06:56.572439+00:00 | Here's a simple example of a Flask server in Python which creates an endpoint which sends a string back to a user:
```
from flask import Flask, request
app = Flask(__name__)
@app.route('/', methods=['POST'])
def echo():
request_body = request.get_json(force=True)
return request_body['input']
app.run(port=3000)
```
This application can be tested with curl as:
```
curl -X POST -H 'Content-Type: application/json' -d '{"input": "Hello server"}' http://127.0.0.1:3000/
``` | assistant | en | 3 | true | false | 1 | false | null | {
"toxicity": 0.0002533642400521785,
"severe_toxicity": 0.000041642346332082525,
"obscene": 0.0001735164987621829,
"identity_attack": 0.00013393370318226516,
"insult": 0.00017239640874322504,
"threat": 0.00004775827983394265,
"sexual_explicit": 0.00003060908420593478
} | 710feb81-be4c-4fde-9a3b-7fa5df007d53 | ready_for_export | {
"name": [
"-1"
],
"count": [
1
]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0,
1,
0,
0,
1,
0,
0
],
"count": [
3,
1,
3,
1,
1,
1,
1,
3,
1,
1,
1,
1,
1
]
} |
ffc4341f-8cd0-4fdb-8114-22342b516595 | 74565b93-672e-4430-92c8-86e7c281a58f | 8b1a8937-de55-4280-b486-3c733eb88fda | 2023-02-21T10:45:15.323062+00:00 | Instead of returning the request body, could you make it so it encrypts the request body with the caesar cipher and returns the cipher text? | prompter | en | 3 | true | false | null | false | null | {
"toxicity": 0.0005858271615579724,
"severe_toxicity": 0.00002612717798911035,
"obscene": 0.00014718019519932568,
"identity_attack": 0.00014799700875300914,
"insult": 0.0002569523057900369,
"threat": 0.0000429900610470213,
"sexual_explicit": 0.000020988840333302505
} | 710feb81-be4c-4fde-9a3b-7fa5df007d53 | ready_for_export | {
"name": [
"+1",
"_skip_reply",
"_skip_ranking"
],
"count": [
1,
7,
5
]
} | {
"name": [
"spam",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0.5833333333333334,
0.08333333333333333,
0.08333333333333333,
0.4166666666666667,
0
],
"count": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
]
} |
25ee823d-a0aa-4108-b519-90af3b1c4ea8 | ffc4341f-8cd0-4fdb-8114-22342b516595 | 1aaa9be1-0d07-4cb2-a2d7-4301cbfc4ecc | 2023-02-22T00:46:14.112840+00:00 | Sure, here's an updated version of the Flask server that encrypts the request body with the Caesar cipher and returns the ciphertext:
```
from flask import Flask, request
app = Flask(name)
@app.route('/', methods=['POST'])
def encrypt():
request_body = request.get_json(force=True)
input_text = request_body['input']
shift = request_body.get('shift', 0) # optional shift parameter
encrypted_text = caesar_cipher(input_text, shift)
return {'ciphertext': encrypted_text}
def caesar_cipher(text, shift):
encrypted = ''
for char in text:
if char.isalpha():
char_code = ord(char)
encrypted_code = (char_code - 97 + shift) % 26 + 97
encrypted += chr(encrypted_code)
else:
encrypted += char
return encrypted
app.run(port=3000)
```
This version of the script takes an additional optional parameter shift in the request body, which specifies the number of positions to shift each letter in the plaintext. The caesar_cipher function takes care of the encryption itself, using the provided shift value.
To test the API, you can use curl or any other HTTP client to send a POST request to http://127.0.0.1:3000/, with a JSON request body containing the plaintext and an optional shift value. The server will respond with a JSON object containing the ciphertext:
```
curl -X POST -H 'Content-Type: application/json' -d '{"input": "hello", "shift": 3}' http://127.0.0.1:3000/
```
Output:
{"ciphertext": "khoor"} | assistant | en | 3 | true | false | 0 | false | null | {
"toxicity": 0.00019625244021881372,
"severe_toxicity": 0.00024085200857371092,
"obscene": 0.0012643726076930761,
"identity_attack": 0.00039640115574002266,
"insult": 0.0010160693200305104,
"threat": 0.00014993315562605858,
"sexual_explicit": 0.00010060745989903808
} | 710feb81-be4c-4fde-9a3b-7fa5df007d53 | ready_for_export | {
"name": [
"_skip_labeling"
],
"count": [
2
]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0,
0.75,
0.25,
0.3333333333333333,
1,
0.5,
0.16666666666666666
],
"count": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
]
} |
390eb67b-3d77-4597-a137-8d6b7ad6fe5f | ffc4341f-8cd0-4fdb-8114-22342b516595 | faa07ea2-76de-4362-a97a-bd0939d02d87 | 2023-02-21T23:09:15.002267+00:00 | Sure!
```
from flask import Flask, request
app = Flask(__name__)
@app.route('/', methods=['POST'])
def encrypt():
request_body = request.get_json(force=True)
input_str = request_body['input']
shift = request_body.get('shift', 1) # default shift is 1 if not specified
output_str = ''
for char in input_str:
if char.isalpha():
char_code = ord(char)
if char.isupper():
base = ord('A')
else:
base = ord('a')
char_code = (char_code - base + shift) % 26 + base
char = chr(char_code)
output_str += char
return output_str
app.run(port=3000)
```
This modified application also takes an optional shift parameter in the request body, which specifies the number of characters to shift by in the Caesar cipher. If the shift parameter is not specified, it defaults to 1.
You can test this modified application with curl as:
```
curl -X POST -H 'Content-Type: application/json' -d '{"input": "Hello server", "shift": 5}' http://127.0.0.1:3000/
``` | assistant | en | 3 | true | false | 1 | false | null | {
"toxicity": 0.0002339753700653091,
"severe_toxicity": 0.00013100431533530354,
"obscene": 0.0006748191663064063,
"identity_attack": 0.00026850536232814193,
"insult": 0.000636241224128753,
"threat": 0.00009155474253930151,
"sexual_explicit": 0.000057516339438734576
} | 710feb81-be4c-4fde-9a3b-7fa5df007d53 | ready_for_export | {
"name": [
"_skip_labeling"
],
"count": [
1
]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0,
0.75,
0.3333333333333333,
0.16666666666666666,
0.8333333333333334,
0.4166666666666667,
0
],
"count": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
]
} |
002696aa-b44b-4f18-b243-0ef7d9fccc25 | 710feb81-be4c-4fde-9a3b-7fa5df007d53 | 5beaf74a-ff3f-410b-a19e-fafecb426c5c | 2023-02-21T01:49:49.410704+00:00 | Sure, here is an example of a simple python script that opens an API endpoint and serves a string:
```
from flask import Flask, request, jsonify
import requests
import json
import time
app = Flask(__name__)
@app.route('/greetings', methods=['GET'])
def greetings():
username = request.args.get('username')
name = request.args.get('name')
if username and name:
message = f"Hello {name}, welcome to my API! Your username is {username}"
else:
message = "Hello, world! This is my API."
payload = {"message": message, "status": "success", "timestamp": time.time()}
response = jsonify(payload)
return response
@app.route('/insults', methods=['GET'])
def insults():
headers = {
'Content-Type': 'application/json',
'Accept': 'application/json'
}
res = requests.get('https://insults.io/api/insult', headers=headers)
insult = res.json().get('insult')
payload = {"message": insult, "status": "success", "timestamp": time.time()}
response = jsonify(payload)
return response
@app.route('/random_number', methods=['GET'])
def random_number():
try:
min_val = int(request.args.get('min'))
max_val = int(request.args.get('max'))
except Exception as e:
payload = {"message": "Invalid input. Please enter a valid integer value for 'min' and 'max' query parameters.", "status": "error", "timestamp": time.time()}
response = jsonify(payload)
return response
random_num = str(int((time.time() % (max_val - min_val)) + min_val))
payload = {"message": f"Your random number is {random_num}.", "status": "success", "timestamp": time.time()}
response = jsonify(payload)
return response
if __name__ == '__main__':
app.run(debug=True)
``` | assistant | en | 3 | true | false | 2 | false | null | {
"toxicity": 0.00027049024356529117,
"severe_toxicity": 0.00008464427810395136,
"obscene": 0.00040659226942807436,
"identity_attack": 0.00020087542361579835,
"insult": 0.00040517616434954107,
"threat": 0.00006240779475774616,
"sexual_explicit": 0.00004780452945851721
} | 710feb81-be4c-4fde-9a3b-7fa5df007d53 | ready_for_export | {
"name": [
"+1"
],
"count": [
1
]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0,
0.9166666666666666,
0.16666666666666666,
0.3333333333333333,
1,
0.5,
0
],
"count": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
]
} |
9ed0d8b5-16ec-47a2-bbcb-d9587589ed04 | 002696aa-b44b-4f18-b243-0ef7d9fccc25 | 8b1a8937-de55-4280-b486-3c733eb88fda | 2023-02-21T10:42:01.872456+00:00 | Thank you! Instead of getting the string from the insults.io api, could you get them from a jokes api? | prompter | en | 3 | true | false | null | false | null | {
"toxicity": 0.0027415428776293993,
"severe_toxicity": 0.0000294263973046327,
"obscene": 0.00038890918949618936,
"identity_attack": 0.00016741023864597082,
"insult": 0.000822816276922822,
"threat": 0.00004551486927084625,
"sexual_explicit": 0.00002535817475290969
} | 710feb81-be4c-4fde-9a3b-7fa5df007d53 | ready_for_export | {
"name": [
"+1"
],
"count": [
1
]
} | {
"name": [
"spam",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0.75,
0.08333333333333333,
0.3333333333333333,
0.5,
0
],
"count": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
]
} |
c64dca91-ce81-4b7d-8d72-68dfc717ac79 | 9ed0d8b5-16ec-47a2-bbcb-d9587589ed04 | f1829a29-af15-4350-8119-001aa57bf958 | 2023-02-22T01:37:13.076195+00:00 | Sure! Here's an updated version of the code that gets jokes from an API and serves them through the /api endpoint using Flask:
python
Copy code
import requests
from flask import Flask
app = Flask(__name__)
@app.route('/api')
def get_joke():
response = requests.get('https://official-joke-api.appspot.com/random_joke')
if response.status_code == 200:
joke = response.json()
return f"{joke['setup']} {joke['punchline']}"
else:
return "Error fetching joke"
if __name__ == '__main__':
app.run()
This code sends a GET request to the Official Joke API to get a random joke, using the requests library. If the request is successful (status code 200), the get_joke() function extracts the setup and punchline from the JSON response and returns them as a single string. If the request fails, the function returns an error message.
You can run this script in the same way as the previous example. When you visit the /api endpoint in your browser, you should see a new random joke displayed each time. | assistant | en | 3 | true | false | null | false | null | {
"toxicity": 0.0003017658309545368,
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c866c106-86e0-4d63-97fe-03b896b0473c | null | e10e99a0-38ac-4b07-bf5d-4427696e4e0d | 2023-02-06T23:08:24.646103+00:00 | How can I learn to optimize my webpage for search engines? | prompter | en | 3 | true | false | null | false | null | {
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a2858362-efa0-4100-a11b-31c2b4e22a47 | c866c106-86e0-4d63-97fe-03b896b0473c | 1aaa9be1-0d07-4cb2-a2d7-4301cbfc4ecc | 2023-04-02T19:34:17.791760+00:00 | Learning to optimize your webpage for search engines involves several steps, including:
1. Understanding the basics of how search engines work: Learn how search engines crawl and index web pages, and how they rank pages based on factors like relevance, authority, and user experience.
2. Conducting keyword research: Identify the keywords and phrases that your target audience is using to search for your products or services, and use these keywords to optimize your web pages.
3. Creating high-quality content: Create content that is informative, engaging, and relevant to your target audience. This can include blog posts, articles, videos, and other types of content.
4. Optimizing your web pages: Optimize your page titles, meta descriptions, header tags, and other on-page elements to make sure they are aligned with your target keywords and provide a clear picture of what your page is about.
5. Building backlinks: Build high-quality backlinks from other reputable websites to your own site. This can help increase your authority and improve your search engine rankings.
6. Monitoring your results: Use analytics tools to track your website's performance in search engine rankings, and adjust your strategy as needed based on your results.
There are many resources available online to help you learn more about search engine optimization (SEO), including blogs, courses, and tutorials. Some popular SEO resources include Moz, SEMrush, and Google's Search Console documentation.
It's important to note that SEO is an ongoing process, and it can take time and effort to see results. However, by following best practices and staying up-to-date with the latest trends and techniques, you can help improve your website's visibility and attract more traffic from search engines. | assistant | en | 3 | true | false | 0 | false | null | {
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a0a38b77-79c3-4037-9a96-6bedfce3515c | a2858362-efa0-4100-a11b-31c2b4e22a47 | 25561b1f-40bb-49f8-8894-b673ae655c63 | 2023-04-03T03:28:57.420508+00:00 | My webpage is about flower arrangements. Can you give some examples for each of the above? | prompter | en | 3 | true | false | null | false | null | {
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66483ff6-5e56-4721-a98e-57649ae28e45 | c866c106-86e0-4d63-97fe-03b896b0473c | f44d71a5-57fb-4653-8d84-c92add3b065b | 2023-04-02T20:51:35.670166+00:00 | ##### Resources for learning search engine optimization (SEO)
A good place to start with learning about SEO is from search engine companies and browser manufacturers. You could start by reading guides from [Google](https://developers.google.com/search/docs/fundamentals/seo-starter-guide), [Bing](https://www.bing.com/webmasters/help/webmaster-guidelines-30fba23a) and [Mozilla](https://developer.mozilla.org/en-US/docs/Glossary/SEO).
There are many other resources available on SEO. You could search YouTube for videos by experts on SEO, undertake a free course on a site like [HubSpot](https://academy.hubspot.com/courses/seo-training), or take a paid course offered by an educational institution or local marketing association.
##### (Very) brief introduction to SEO
SEO is a collection of techniques the owner of a website can use to improve their site's placement in search engine results, increasing organic (non-paid) traffic to the site. These techniques try to convince search engine algorithms that the website is a quality source of information that will be useful to the search engine user.
There are several aspects to SEO, including:
* Keyword research
* Link building and backlinks
* Optimising page content
* Ongoing analysis and metrics | assistant | en | 3 | true | false | 1 | false | null | {
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e6d1689b-73fc-4d19-8878-b8c9a07f9f07 | 66483ff6-5e56-4721-a98e-57649ae28e45 | 99d788e6-7eb4-42c7-9dda-4cb8301dabf7 | 2023-04-03T13:52:47.428388+00:00 | How do I ensure my content doesn't get scraped by AI researchers? | prompter | en | 3 | true | false | null | false | null | {
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7873d0c4-b78f-40fc-8e44-64d6861d467c | e6d1689b-73fc-4d19-8878-b8c9a07f9f07 | 1aaa9be1-0d07-4cb2-a2d7-4301cbfc4ecc | 2023-04-04T16:19:56.393092+00:00 | While it is not possible to completely prevent AI researchers from scraping your content, there are some steps you can take to make it more difficult and discourage them from doing so:
1. Implement the Robots Exclusion Protocol: You can include a robots.txt file on your website to specify which pages should not be crawled by search engines and web crawlers. This won't stop all bots, but it can discourage some less sophisticated ones.
2. Use CAPTCHA: You can use CAPTCHA on your website to prevent bots from accessing your content. This can be an effective deterrent, but can also be an inconvenience for legitimate users.
3. Use anti-scraping tools: There are a variety of tools available that can detect and block scraping attempts, such as IP blocking, rate limiting, and fingerprinting. Some popular anti-scraping tools include Distil Networks, Scrapinghub, and BotGuard.
4. Watermark your content: You can watermark your content with a unique identifier to make it more difficult for scraped content to be passed off as original. This can also deter some scrapers from taking your content in the first place.
5. Monitor your website for scraping attempts: You can use tools like Google Analytics or server logs to monitor traffic and detect any abnormal activity that may be indicative of scraping. Once you identify a scraper, you can take action to block their IP address or take legal action if necessary.
Ultimately, it's impossible to completely prevent scraping, but by taking these steps you can make it more difficult and less attractive for AI researchers to steal your content. | assistant | en | 3 | true | false | 0 | false | null | {
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9e6d4d10-290b-4d0f-8368-c3ae83328b9c | 7873d0c4-b78f-40fc-8e44-64d6861d467c | fb10eb70-8eb1-486a-bf12-5c111e5fc01e | 2023-04-04T18:35:54.133196+00:00 | Is SEO relevant in 2023? | prompter | en | 3 | true | false | null | false | null | {
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86407362-33a3-4d40-9fe8-c984f9f5b6b8 | 9e6d4d10-290b-4d0f-8368-c3ae83328b9c | fb10eb70-8eb1-486a-bf12-5c111e5fc01e | 2023-04-04T23:06:07.636392+00:00 | SEO is a constantly evolving field, and search engines like Google are continuously updating their algorithms to provide better search results to their users. Therefore, SEO strategies and techniques may need to be adapted to keep up with these changes.
However, the fundamental principles of SEO, such as creating high-quality and relevant content, using appropriate keywords and meta tags, optimizing website structure and design, and building high-quality backlinks, are likely to remain important factors in improving a website's search engine rankings and visibility.
Moreover, as the internet continues to grow and more businesses establish an online presence, the competition for online visibility and traffic is only going to increase. Therefore, investing in SEO is likely to remain an important aspect of digital marketing strategies for businesses of all sizes. | assistant | en | 3 | true | false | 0 | false | null | {
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3bc4b415-6f7d-43e9-9f08-2732b588576d | 9e6d4d10-290b-4d0f-8368-c3ae83328b9c | f8395f40-b1b0-41dc-8a16-a3f71f6eaeee | 2023-04-05T05:16:54.281111+00:00 | Yes it is. Although, it is declining in popularity since the introduction of Large Language Models (LLMs) and their explosion onto the scene. They have taken the internet by storm. Even google has had a hard time keeping up. | assistant | en | 3 | true | false | 1 | false | null | {
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3065e3c0-d440-4986-981b-1553b35ecb1c | e6d1689b-73fc-4d19-8878-b8c9a07f9f07 | b8e63600-1f94-45cf-be1d-2992d3c865f2 | 2023-04-04T18:07:39.254856+00:00 | There are a few ways you can prevent your content from being scraped by AI researchers. One way is to ask your web developer to embed a Robots.txt file in your website code to stop your images from being scraped by AI training datasets. Another way is to use rate limiting and CAPTCHA challenges to sort out real users from bots. You can also block specific AI crawlers like ChatGPT from accessing any pages on your website by adding specific code to your robots.txt file. | assistant | en | 3 | true | false | 1 | false | null | {
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ed1d23ec-5be8-4d84-8c71-72fa5b4c6fff | 3065e3c0-d440-4986-981b-1553b35ecb1c | 18d2e4e9-ecbf-4bdf-918d-233b84cec2d4 | 2023-04-05T00:00:56.193740+00:00 | I changed my mind, now I want to make sure my content is properly crawled by the search engines and in AI training datasets. How do I make sure of that? | prompter | en | 3 | true | false | null | false | null | {
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ec1f22a7-2f70-4242-a0a3-3b189fb6a1e7 | ed1d23ec-5be8-4d84-8c71-72fa5b4c6fff | fb10eb70-8eb1-486a-bf12-5c111e5fc01e | 2023-04-05T08:43:23.550724+00:00 | There are several steps you can take to ensure that your content is properly crawled by search engines and included in AI training datasets:
Use a robots.txt file: A robots.txt file tells search engines which pages on your site they can and cannot crawl. By using this file, you can make sure that your important pages are crawled and indexed, while keeping private or irrelevant pages hidden from search engines.
Use a sitemap: A sitemap is a file that lists all the pages on your site, which helps search engines to find and index your pages. You can create a sitemap using various tools, and submit it to search engines for better crawling.
Use clear and descriptive URLs: Your URLs should be easy to read and descriptive of the content on the page. This will help search engines and AI algorithms understand what the page is about.
Use structured data: Structured data provides information about the content of a page in a format that search engines and AI algorithms can easily understand. By using structured data markup, you can make your content more visible to search engines and AI algorithms.
Create high-quality content: Search engines and AI algorithms value high-quality content that provides value to users. By creating high-quality content that is relevant and informative, you can increase your chances of being crawled and included in AI training datasets.
Use social media to promote your content: Sharing your content on social media platforms can help increase its visibility, which can lead to more crawling and indexing by search engines and inclusion in AI training datasets.
By following these steps, you can help ensure that your content is properly crawled by search engines and included in AI training datasets. | assistant | en | 3 | true | false | null | false | null | {
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e480f611-0d31-433a-93d2-0e2bc675aa30 | null | 05a999f8-8219-4584-a3f2-d4b4aec30027 | 2023-02-06T23:09:05.356836+00:00 | ΠΠ°ΠΏΠΈΡΠΈ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΡ ΠΎ ΠΈΠ³ΡΠ΅ Hytale | prompter | ru | 3 | true | false | null | false | null | {
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} | e480f611-0d31-433a-93d2-0e2bc675aa30 | ready_for_export | {
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} | {
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d5766ce8-5ea8-4713-aaaf-f8121cc4fb14 | e480f611-0d31-433a-93d2-0e2bc675aa30 | 068951d1-4a1e-4d91-9c29-0090fdf9366d | 2023-02-08T09:45:58.996352+00:00 | Hytale - ΡΡΠΎ ΠΏΡΠ΅Π΄ΡΡΠΎΡΡΠ°Ρ ΠΈΠ³ΡΠ°-ΠΏΠ΅ΡΠΎΡΠ½ΠΈΡΠ°, ΠΏΡΠΈΠ΄ΡΠΌΠ°Π½Π½Π°Ρ Hypixel Studios. ΠΠ±ΡΠ΅Π΄ΠΈΠ½ΡΡ Π² ΡΠ΅Π±Π΅ Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½ ΠΈΠ³ΡΡ-ΠΏΠ΅ΡΠΎΡΠ½ΠΈΡΡ Ρ Π³Π»ΡΠ±ΠΈΠ½ΠΎΠΉ ΡΠΎΠ»Π΅Π²ΠΎΠΉ ΠΈΠ³ΡΡ, Hytale ΠΏΠΎΠ³ΡΡΠΆΠ°Π΅Ρ ΠΈΠ³ΡΠΎΠΊΠΎΠ² Π² ΠΆΠΈΠ²ΠΎΠΉ ΠΊΠΎΡΠΌΠΎΡ, ΠΏΠΎΠ»Π½ΡΠΉ ΡΡΠΊΠ°ΠΏΠ°Π΄ ΠΈ ΡΠ²ΠΎΡΡΠ΅ΡΡΠ²Π°.
Π Hytale Π³Π΅ΠΉΠΌΠ΅ΡΡ ΠΌΠΎΠ³ΡΡ ΠΏΡΡΠ΅ΡΠ΅ΡΡΠ²ΠΎΠ²Π°ΡΡ ΠΏΠΎ ΠΏΡΠΎΡΡΠΎΡΠ½ΠΎΠΌΡ, ΠΏΡΠΎΡΠ΅Π΄ΡΡΠ½ΠΎ ΡΠΎΠ·Π΄Π°Π½Π½ΠΎΠΌΡ ΠΌΠΈΡΡ ΠΈ ΠΏΡΠΈΠ½ΠΈΠΌΠ°ΡΡ ΡΡΠ°ΡΡΠΈΠ΅ Π² ΡΠ°Π·Π½ΠΎΠΎΠ±ΡΠ°Π·Π½ΡΡ
Π΄Π΅ΠΉΡΡΠ²ΠΈΡΡ
. ΠΡ Π²ΠΎΠ·Π²Π΅Π΄Π΅Π½ΠΈΡ Π±Π°Π· ΠΈ ΡΠΎΠ·Π΄Π°Π½ΠΈΡ ΡΠΎΠ±ΡΡΠ²Π΅Π½Π½ΡΡ
ΠΏΠ΅ΡΡΠΎΠ½Π°ΠΆΠ΅ΠΉ Π΄ΠΎ ΡΠΎΠ·Π΄Π°Π½ΠΈΡ ΠΊΠ°ΡΡ ΠΏΡΠΈΠΊΠ»ΡΡΠ΅Π½ΠΈΠΉ ΠΈ ΡΡΠ°ΠΆΠ΅Π½ΠΈΠΉ Ρ ΠΌΠΎΠ½ΡΡΡΠ°ΠΌΠΈ ΠΈΠ»ΠΈ Π΄ΡΡΠ³ΠΈΠΌΠΈ ΠΈΠ³ΡΠΎΠΊΠ°ΠΌΠΈ - Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ Hytale Π±Π΅Π·Π³ΡΠ°Π½ΠΈΡΠ½Ρ. ΠΠ³ΡΠΎΠΊΠΈ ΡΠ°ΠΊΠΆΠ΅ ΠΌΠΎΠ³ΡΡ ΡΠΎΠ·Π΄Π°Π²Π°ΡΡ ΡΠ²ΠΎΠΈ ΡΠΎΠ±ΡΡΠ²Π΅Π½Π½ΡΠ΅ ΡΠ΅ΡΠ²Π΅ΡΡ, ΠΊΠΎΡΠΎΡΡΠ΅ ΠΌΠΎΠΆΠ½ΠΎ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΡ ΡΠΎΠ²ΠΌΠ΅ΡΡΠ½ΠΎ Ρ Π΄ΡΡΠ³ΠΈΠΌΠΈ Π³Π΅ΠΉΠΌΠ΅ΡΠ°ΠΌΠΈ, ΡΡΠΎ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΡΠΎΠ·Π΄Π°Π²Π°ΡΡ Π½Π΅ΠΎΠ±ΡΡΠ½ΡΠ΅ ΡΠΎΠΎΠ±ΡΠ΅ΡΡΠ²Π°.
Π ΠΈΠ³ΡΠ΅ ΡΠ°ΠΊΠΆΠ΅ ΠΈΠΌΠ΅Π΅ΡΡΡ ΠΎΠ±ΡΠΈΡΠ½Π°Ρ ΡΠΈΡΡΠ΅ΠΌΠ° ΠΌΠΎΠ΄Π΄ΠΈΠ½Π³Π°, ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡΠ°Ρ ΠΈΠ³ΡΠΎΠΊΠ°ΠΌ ΡΠΎΠ·Π΄Π°Π²Π°ΡΡ ΠΈ Π΄Π΅Π»ΠΈΡΡΡΡ ΡΠ²ΠΎΠΈΠΌΠΈ ΡΠΎΠ±ΡΡΠ²Π΅Π½Π½ΡΠΌΠΈ ΠΏΡΠ΅Π΄ΠΌΠ΅ΡΠ°ΠΌΠΈ. Π‘ ΠΏΠΎΠΌΠΎΡΡΡ ΡΠΈΡΡΠ΅ΠΌΡ ΠΌΠΎΠ΄Π΄ΠΈΠ½Π³Π° Π³Π΅ΠΉΠΌΠ΅ΡΡ ΠΌΠΎΠ³ΡΡ ΡΠΎΠ·Π΄Π°Π²Π°ΡΡ ΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΠ΅Π»ΡΡΠΊΠΎΠ΅ ΠΎΡΡΠΆΠΈΠ΅, Π±ΡΠΎΠ½Ρ ΠΈ Π΄ΡΡΠ³ΠΈΠ΅ ΠΏΡΠ΅Π΄ΠΌΠ΅ΡΡ, Π° ΡΠ°ΠΊΠΆΠ΅ ΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΠ΅Π»ΡΡΠΊΠΈΠ΅ ΠΊΠ°ΡΡΡ ΠΈ ΡΠ΅ΠΆΠΈΠΌΡ ΠΈΠ³ΡΡ. ΠΡΠ° ΡΡΠ½ΠΊΡΠΈΡ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΠΈΠ³ΡΠΎΠΊΠ°ΠΌ ΡΠΎΠ·Π΄Π°Π²Π°ΡΡ ΡΠ²ΠΎΠΈ ΡΠΎΠ±ΡΡΠ²Π΅Π½Π½ΡΠ΅ Π½Π΅ΠΎΠ±ΡΡΠ½ΡΠ΅ Π²ΠΏΠ΅ΡΠ°ΡΠ»Π΅Π½ΠΈΡ ΠΈ Π΄Π΅Π»ΠΈΡΡΡΡ ΠΈΠΌΠΈ Ρ Π΄ΡΡΠ·ΡΡΠΌΠΈ ΠΈ Π΄ΡΡΠ³ΠΈΠΌΠΈ ΠΈΠ³ΡΠΎΠΊΠ°ΠΌΠΈ.
ΠΠ³ΡΠ° ΡΠ°ΠΊΠΆΠ΅ ΠΎΡΠ»ΠΈΡΠ°Π΅ΡΡΡ ΡΠΎΡΠΊΠΎΡΠ½ΡΠΌ ΡΠ°ΡΠ½Π΄ΡΡΠ΅ΠΊΠΎΠΌ ΠΈ Π²ΠΏΠ΅ΡΠ°ΡΠ»ΡΡΡΠΈΠΌΠΈ Π²ΠΈΠ·ΡΠ°Π»ΡΠ½ΡΠΌΠΈ ΡΡΡΠ΅ΠΊΡΠ°ΠΌΠΈ, Π° ΡΠ°Π·Π½ΠΎΠΎΠ±ΡΠ°Π·ΠΈΠ΅ ΠΎΠΊΡΡΠΆΠ΅Π½ΠΈΡ Π²Π°ΡΡΠΈΡΡΠ΅ΡΡΡ ΠΎΡ ΡΠΎΡΠΊΠΎΡΠ½ΡΡ
Π»Π΅ΡΠΎΠ² Π΄ΠΎ Π·Π°ΡΡΡΠ»ΠΈΠ²ΡΡ
ΠΏΡΡΡΡΠ½Ρ. Π Hytale ΡΠ°ΠΊΠΆΠ΅ ΠΈΠΌΠ΅Π΅ΡΡΡ ΠΎΠ±ΡΠΈΡΠ½Π°Ρ ΡΠΈΡΡΠ΅ΠΌΠ° Π½Π°ΡΡΡΠΎΠΉΠΊΠΈ ΠΏΠ΅ΡΡΠΎΠ½Π°ΠΆΠ΅ΠΉ, ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡΠ°Ρ Π³Π΅ΠΉΠΌΠ΅ΡΠ°ΠΌ ΡΠΎΠ·Π΄Π°Π²Π°ΡΡ ΡΠΎΠ±ΡΡΠ²Π΅Π½Π½ΡΡ
Π³Π΅ΡΠΎΠ΅Π², Π½Π°ΡΡΡΠ°ΠΈΠ²Π°ΡΡ ΠΈΡ
Π½Π°ΡΡΠ΄Ρ ΠΈ Π²ΡΠ±ΠΈΡΠ°ΡΡ ΡΠΎΠ±ΡΡΠ²Π΅Π½Π½ΡΠΉ ΡΡΠΈΠ»Ρ ΠΈΠ³ΡΡ.
Π ΡΠ΅Π»ΠΎΠΌ, Hytale - ΡΡΠΎ ΡΠ½Π΅ΡΠ³ΠΈΡΠ½Π°Ρ ΠΏΡΠ΅Π΄ΡΡΠΎΡΡΠ°Ρ ΠΈΠ³ΡΠ°, ΠΊΠΎΡΠΎΡΠ°Ρ ΠΎΠ±Π΅ΡΠ°Π΅Ρ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠΈΡΡ Π½Π΅ΠΎΠ±ΡΡΠ½ΡΠΉ ΠΈ Π·Π°Ρ
Π²Π°ΡΡΠ²Π°ΡΡΠΈΠΉ ΠΎΠΏΡΡ. ΠΠ»Π°Π³ΠΎΠ΄Π°ΡΡ ΠΎΠ±ΡΠΈΡΠ½ΠΎΠΌΡ ΠΌΠΈΡΡ, ΡΠ°Π·Π½ΠΎΠΎΠ±ΡΠ°Π·Π½ΡΠΌ Π΄Π΅ΠΉΡΡΠ²ΠΈΡΠΌ, ΡΠΈΡΡΠ΅ΠΌΠ΅ ΠΌΠΎΠ΄Π΄ΠΈΠ½Π³Π°, Π·Π°Ρ
Π²Π°ΡΡΠ²Π°ΡΡΠ΅ΠΌΡ ΡΠ°ΡΠ½Π΄ΡΡΠ΅ΠΊΡ ΠΈ Π²ΠΈΠ·ΡΠ°Π»ΡΠ½ΠΎΠΌΡ ΠΎΡΠΎΡΠΌΠ»Π΅Π½ΠΈΡ, Hytale ΠΎΠ±Π΅ΡΠ°Π΅Ρ ΡΡΠ°ΡΡ ΡΠ²Π»Π΅ΠΊΠ°ΡΠ΅Π»ΡΠ½ΠΎΠΉ ΠΈΠ³ΡΠΎΠΉ, ΠΊΠΎΡΠΎΡΠ°Ρ Π·Π°Π²Π»Π°Π΄Π΅Π΅Ρ ΡΠ΅ΡΠ΄ΡΠ°ΠΌΠΈ ΠΈ Π²ΠΎΠΎΠ±ΡΠ°ΠΆΠ΅Π½ΠΈΠ΅ΠΌ Π³Π΅ΠΉΠΌΠ΅ΡΠΎΠ² ΠΏΠΎ Π²ΡΠ΅ΠΉ Π²ΡΠ΅Π»Π΅Π½Π½ΠΎΠΉ. | assistant | ru | 3 | true | false | 0 | false | null | {
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"obscene": 0.03852631524205208,
"identity_attack": 0.006593852769583464,
"insult": 0.0338505357503891,
"threat": 0.0022817880380898714,
"sexual_explicit": 0.0013775830157101154
} | e480f611-0d31-433a-93d2-0e2bc675aa30 | ready_for_export | {
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"+1"
],
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} | {
"name": [
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"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
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0,
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0.5,
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],
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1,
1,
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3,
1,
1,
1,
1,
1
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} |
5f7cf6e9-6424-4571-94d7-8131dad29611 | d5766ce8-5ea8-4713-aaaf-f8121cc4fb14 | 97894afc-2204-4c7b-9b91-f1c71c10f032 | 2023-02-08T12:43:12.219892+00:00 | Π’Ρ Π±Ρ ΠΌΠΎΠ³ Π² Π½Π΅Ρ ΠΈΠ³ΡΠ°ΡΡ? | prompter | ru | 3 | true | false | null | false | null | {
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"severe_toxicity": 0.00046113788266666234,
"obscene": 0.0058843898586928844,
"identity_attack": 0.0006641997606493533,
"insult": 0.004490245133638382,
"threat": 0.0002808287681546062,
"sexual_explicit": 0.00018821888079401106
} | e480f611-0d31-433a-93d2-0e2bc675aa30 | ready_for_export | {
"name": [
"+1",
"_skip_reply"
],
"count": [
2,
1
]
} | {
"name": [
"spam",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"creativity",
"violence"
],
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e22f8f08-2c3d-4e79-9fae-3577ef08485a | e480f611-0d31-433a-93d2-0e2bc675aa30 | bf6867fd-6273-4ed3-99d9-5078e8c59b8a | 2023-02-07T15:32:30.868388+00:00 | Π‘ΠΎΠ³Π»Π°ΡΠ½ΠΎ ΠΠΈΠΊΠΈΠΏΠ΅Π΄ΠΈΠΈ, Hytale β ΠΏΡΠ΅Π΄ΡΡΠΎΡΡΠ°Ρ ΡΠΎΠ»Π΅Π²Π°Ρ ΠΊΠΎΠΌΠΏΡΡΡΠ΅ΡΠ½Π°Ρ ΠΈΠ³ΡΠ° Ρ ΡΠ»Π΅ΠΌΠ΅Π½ΡΠ°ΠΌΠΈ ΠΏΠ΅ΡΠΎΡΠ½ΠΈΡΡ, ΡΠ°Π·ΡΠ°Π±Π°ΡΡΠ²Π°Π΅ΠΌΠ°Ρ ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠ΅ΠΉ Hypixel Studios, ΠΎΡΠ½ΠΎΠ²Π°Π½Π½ΠΎΠΉ ΡΠΎΠ·Π΄Π°ΡΠ΅Π»ΡΠΌΠΈ ΡΠ΅ΡΠ²Π΅ΡΠ° Hypixel Π² ΠΈΠ³ΡΠ΅ Minecraft.
ΠΠ³ΡΠΎΠ²ΠΎΠΉ ΠΌΠΈΡ Hytale Π³Π΅Π½Π΅ΡΠΈΡΡΠ΅ΡΡΡ ΡΠ»ΡΡΠ°ΠΉΠ½ΡΠΌ ΠΎΠ±ΡΠ°Π·ΠΎΠΌ ΠΏΡΠΎΡΠ΅Π΄ΡΡΠ½ΡΠΌ ΠΏΡΡΡΠΌ ΠΈΠ· ΠΊΡΠ±ΠΈΡΠ΅ΡΠΊΠΈΡ
Π±Π»ΠΎΠΊΠΎΠ² ΡΠ°Π·Π½ΡΡ
ΡΠΎΡΠΌ, ΡΠ°Π·ΠΌΠ΅ΡΠ°Π΅ΠΌΡΡ
Π² ΡΠ΅ΡΠΊΠ΅ ΡΡΡΡ
ΠΌΠ΅ΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π°. ΠΠ³ΡΠΎΠ²Π°Ρ ΠΊΠ°ΡΡΠ° Π½Π°ΠΏΠΎΠ»Π½Π΅Π½Π° ΡΠ°Π·Π»ΠΈΡΠ½ΡΠΌΠΈ Π·ΠΎΠ½Π°ΠΌΠΈ ΠΈ Π±ΠΈΠΎΠΌΠ°ΠΌΠΈ, ΠΏΠΎΠ΄Π·Π΅ΠΌΠ΅Π»ΡΡΠΌΠΈ ΠΈ ΡΡΡΠ΅ΡΡΠ²Π°ΠΌΠΈ. ΠΠ³ΡΠΎΠΊΠΈ ΠΌΠΎΠ³ΡΡ ΡΡΠ°ΡΡΠ²ΠΎΠ²Π°ΡΡ Π² ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΠΌΠΈΠ½ΠΈ-ΠΈΠ³ΡΠ°Ρ
, ΠΏΠΎΠ΄ΠΎΠ±Π½ΡΡ
ΡΠΆΠ΅ ΡΡΡΠ΅ΡΡΠ²ΡΡΡΠΈΠΌ Π½Π° ΡΠ΅ΡΠ²Π΅ΡΠ΅ Hypixel. Π£ ΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΠ΅Π»Π΅ΠΉ Π±ΡΠ΄Π΅Ρ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡ ΡΠΎΠ·Π΄Π°Π²Π°ΡΡ ΠΈ ΠΎΠ±ΠΌΠ΅Π½ΠΈΠ²Π°ΡΡΡΡ ΠΌΠΎΠ΄ΠΈΡΠΈΠΊΠ°ΡΠΈΡΠΌΠΈ ΠΈ ΠΏΡΠΎΡΠΈΠΌ ΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΠ΅Π»ΡΡΠΊΠΈΠΌ ΠΊΠΎΠ½ΡΠ΅Π½ΡΠΎΠΌ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ ΡΡΠ΄ Π²Π½ΡΡΡΠΈΠΈΠ³ΡΠΎΠ²ΡΡ
ΠΏΡΠΈΠ»ΠΎΠΆΠ΅Π½ΠΈΠΉ ΠΈ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠΎΠ². | assistant | ru | 3 | true | false | 1 | false | null | {
"toxicity": 0.0003019192081410438,
"severe_toxicity": 0.008807494305074215,
"obscene": 0.042810991406440735,
"identity_attack": 0.007902142591774464,
"insult": 0.040970370173454285,
"threat": 0.0028837162535637617,
"sexual_explicit": 0.0018741756211966276
} | e480f611-0d31-433a-93d2-0e2bc675aa30 | ready_for_export | {
"name": [
"-1",
"_skip_reply"
],
"count": [
3,
1
]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0,
0.3333333333333333,
0,
0,
0.25,
0,
0
],
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3,
2,
3,
2,
2,
2,
2,
3,
2,
2,
2,
2,
2
]
} |
db585b17-226c-446c-9478-cee5490653f7 | e22f8f08-2c3d-4e79-9fae-3577ef08485a | 85e758bd-a275-4141-9080-d073794af96c | 2023-02-07T23:59:51.110623+00:00 | Π§ΡΠΎ Π·Π° ΡΠ΅ΡΠ²Π΅Ρ - Hypixel Π² ΠΈΠ³ΡΠ΅ ΠΌΠ°ΠΉΠ½ΠΊΡΠ°ΡΡ? | prompter | ru | 3 | true | false | null | false | null | {
"toxicity": 0.03798840567469597,
"severe_toxicity": 0.0029342707712203264,
"obscene": 0.03315968066453934,
"identity_attack": 0.006271997466683388,
"insult": 0.023325983434915543,
"threat": 0.0018557267030701041,
"sexual_explicit": 0.000721072661690414
} | e480f611-0d31-433a-93d2-0e2bc675aa30 | ready_for_export | {
"name": [
"+1",
"_skip_ranking",
"_skip_labeling"
],
"count": [
4,
1,
1
]
} | {
"name": [
"spam",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"creativity",
"violence"
],
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]
} |
21ade148-732b-4f7d-9e5a-8f01a0845b18 | db585b17-226c-446c-9478-cee5490653f7 | 3c8cde8c-9466-494f-9c36-cbf3c3ac7ecd | 2023-02-08T14:30:41.006351+00:00 | Hypixel β ΡΠ°ΠΌΡΠΉ Π±ΠΎΠ»ΡΡΠΎΠΉ ΠΈΠ³ΡΠΎΠ²ΠΎΠΉ ΡΠ΅ΡΠ²Π΅Ρ ΠΈΠ³ΡΡ Minecraft Ρ ΠΌΠΈΠ½ΠΈ-ΠΈΠ³ΡΠ°ΠΌΠΈ, Π²ΡΠΏΡΡΠ΅Π½Π½ΡΠΉ 13 Π°ΠΏΡΠ΅Π»Ρ 2013 Π³ΠΎΠ΄Π° Π‘Π°ΠΉΠΌΠΎΠ½ΠΎΠΌ ΠΠΎΠ»Π»ΠΈΠ½Π·-ΠΠ°ΡΠ»Π°ΠΌΠΌΠΎΠΌ ΠΈ Π€ΠΈΠ»ΠΈΠΏΠΏΠΎΠΌ Π’ΡΡΠ΅ΡΡΠΎΠΌ, ΠΈ ΡΠΏΡΠ°Π²Π»ΡΠ΅ΡΡΡ Hypixel Inc. Hypixel Minecraft.
Π‘Π΅ΡΠ²Π΅Ρ Hypixel Π±ΡΠ» ΡΠΎΠ·Π΄Π°Π½ Π΄Π»Ρ Π΄Π΅ΠΌΠΎΠ½ΡΡΡΠ°ΡΠΈΠΈ ΠΊΠ°ΡΡ. ΠΠΈΠ½ΠΈ-ΠΈΠ³ΡΡ, ΠΈΠ·Π½Π°ΡΠ°Π»ΡΠ½ΠΎ ΡΠΎΠ·Π΄Π°Π½Π½ΡΠ΅ Π΄Π»Ρ ΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΠ΅Π»Π΅ΠΉ, ΡΡΠΎΠ±Ρ ΠΈΠ³ΡΠ°ΡΡ Π² ΠΎΠΆΠΈΠ΄Π°Π½ΠΈΠΈ Π΄ΡΡΠ³ΠΈΡ
ΠΈΠ³ΡΠΎΠΊΠΎΠ², Π²ΡΠΊΠΎΡΠ΅ ΠΏΡΠΈΠΎΠ±ΡΠ΅Π»ΠΈ ΠΏΠΎΠΏΡΠ»ΡΡΠ½ΠΎΡΡΡ ΠΈ ΡΡΠ°Π»ΠΈ Π³Π»Π°Π²Π½ΡΠΌ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΠ΅ΠΌ ΡΠ°Π±ΠΎΡΡ ΡΠ΅ΡΠ²Π΅ΡΠ°, Π° ΡΡΠΈΠ»ΠΈΡ Hypixel Π±ΡΠ»ΠΈ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½Ρ Π½Π° Π½ΠΎΠ²ΡΠΉ ΠΊΠΎΠ½ΡΠ΅Π½Ρ ΡΠ΅ΡΠ²Π΅ΡΠ° Π²ΠΌΠ΅ΡΡΠΎ ΡΠΎΠ·Π΄Π°Π½ΠΈΡ ΠΊΠ°ΡΡ Minecraft.
Hypixel ΠΏΠΎΠ»ΡΡΠΈΠ» ΠΏΡΡΡ ΡΠ΅ΠΊΠΎΡΠ΄ΠΎΠ² Π² ΠΠ½ΠΈΠ³Π΅ Π Π΅ΠΊΠΎΡΠ΄ΠΎΠ² ΠΠΈΠ½Π½Π΅ΡΠ° Π² 2017 ΠΈ 2022 Π³ΠΎΠ΄Π°Ρ
. Π ΡΠΎΠΌ ΡΠΈΡΠ»Π΅, ΠΊΠ°ΠΊ Π‘Π°ΠΌΠ°Ρ ΠΏΠΎΠΏΡΠ»ΡΡΠ½Π°Ρ ΡΠ΅ΡΡ ΡΠ΅ΡΠ²Π΅ΡΠΎΠ² Minecraft, Π‘Π°ΠΌΠΎΠ΅ Π±ΠΎΠ»ΡΡΠΎΠ΅ ΡΠΈΡΠ»ΠΎ ΠΈΠ³Ρ Π½Π° ΡΠ΅ΡΠ²Π΅ΡΠ΅ Minecraft ΠΈ Π‘Π°ΠΌΡΠΉ ΠΏΠΎΠΏΡΠ»ΡΡΠ½ΡΠΉ Π½Π΅Π·Π°Π²ΠΈΡΠΈΠΌΡΠΉ ΡΠ΅ΡΠ²Π΅Ρ Π΄Π»Ρ ΠΊΠΎΠΌΠΏΡΡΡΠ΅ΡΠ½ΠΎΠΉ ΠΈΠ³ΡΡ. | assistant | ru | 3 | true | false | 0 | false | null | {
"toxicity": 0.00041700497968122363,
"severe_toxicity": 0.008352483622729778,
"obscene": 0.042127810418605804,
"identity_attack": 0.008246281184256077,
"insult": 0.04122481495141983,
"threat": 0.0029391786083579063,
"sexual_explicit": 0.0015673976158723235
} | e480f611-0d31-433a-93d2-0e2bc675aa30 | ready_for_export | {
"name": [
"+1"
],
"count": [
4
]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
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0,
0,
0,
0,
0,
0.5833333333333334,
0,
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0.5833333333333334,
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],
"count": [
3,
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3,
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3,
3,
3,
3,
3,
3,
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3,
3
]
} |
b7fe6825-a5ee-4d8f-8047-1f9d93c0149a | 21ade148-732b-4f7d-9e5a-8f01a0845b18 | 85e758bd-a275-4141-9080-d073794af96c | 2023-02-08T19:32:55.110596+00:00 | Π ΠΊΠ°ΠΊ ΠΎΠ½ Π΄ΠΎΠ±ΠΈΠ»ΡΡ ΡΠ°ΠΊΠΎΠΉ ΠΏΠΎΠΏΡΠ»ΡΡΠ½ΠΎΡΡΠΈ? | prompter | ru | 3 | true | false | null | false | null | {
"toxicity": 0.0015214787563309073,
"severe_toxicity": 0.00011170473590027541,
"obscene": 0.00205613044090569,
"identity_attack": 0.00019598317157942802,
"insult": 0.001167503884062171,
"threat": 0.00015480085858143866,
"sexual_explicit": 0.00012314408377278596
} | e480f611-0d31-433a-93d2-0e2bc675aa30 | ready_for_export | {
"name": [
"+1"
],
"count": [
1
]
} | {
"name": [
"spam",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0.5,
0,
0.16666666666666666,
0.08333333333333333,
0
],
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3,
3,
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3,
3,
3,
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]
} |
fb6e108d-3a83-47a5-903f-5dd258232fbd | db585b17-226c-446c-9478-cee5490653f7 | bf6867fd-6273-4ed3-99d9-5078e8c59b8a | 2023-02-08T14:17:19.425939+00:00 | ΠΠΎΠ·Π²ΠΎΠ»ΡΡΠ΅ ΠΏΡΠΎΡΠΈΡΠΈΡΠΎΠ²Π°ΡΡ Π²ΠΎΡΡΠΎΡΠΆΠ΅Π½Π½ΠΎΠ΅ ΠΎΠΏΠΈΡΠ°Π½ΠΈΠ΅ ΡΡΠΎΠ³ΠΎ ΡΠ΅ΡΠ²Π΅ΡΠ° Ρ ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ°ΠΉΡΠ° hotmc.ru.
Π₯Π°ΠΉΠΏΠΈΠΊΡΠ΅Π»Ρ β ΡΡΠΎ ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΠ½Π½ΠΎ Π»ΡΡΡΠΈΠΉ ΠΏΡΠΎΠ΅ΠΊΡ Π² ΠΈΡΡΠΎΡΠΈΠΈ ΡΠ΅ΡΠ²Π΅ΡΠΎΠ² ΠΠ°ΠΉΠ½ΠΊΡΠ°ΡΡ. ΠΠ΄Π΅ΡΡ ΠΌΠΎΠΆΠ½ΠΎ ΡΠ²ΠΈΠ΄Π΅ΡΡ ΡΠ°Π·Π½ΠΎΠΎΠ±ΡΠ°Π·Π½ΡΠ΅ ΠΌΠΈΠ½ΠΈ-ΠΈΠ³ΡΡ, ΠΎΡΠ»ΠΈΡΠ½ΡΡ ΠΊΠΎΠΌΠ°Π½Π΄Ρ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ, ΠΏΡΠ΅ΠΊΡΠ°ΡΠ½ΡΡ
Π΄ΡΡΠΆΠ½ΡΡ
ΠΈΠ³ΡΠΎΠΊΠΎΠ² ΠΈ ΡΠ΅Π»ΡΠΉ ΠΌΠΈΡ ΠΏΡΠΈΠΊΠ»ΡΡΠ΅Π½ΠΈΠΉ.
ΠΠ° ΠΈΠ³ΡΠΎΠ²ΡΡ
ΠΏΠ»ΠΎΡΠ°Π΄ΠΊΠ°Ρ
Hypixel ΠΎΠ΄Π½ΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎ Π½Π°Ρ
ΠΎΠ΄ΠΈΡΡΡ Π² ΠΎΠ½Π»Π°ΠΉΠ½Π΅ Π΄ΠΎ 50 000 ΠΈΠ³ΡΠΎΠΊΠΎΠ² ΠΊΠ°ΠΆΠ΄ΡΠΉ Π΄Π΅Π½Ρ! ΠΡΠ΅Π³ΠΎ Π½Π° ΠΏΡΠΎΠ΅ΠΊΡΠ΅ Π·Π°ΡΠ΅Π³ΠΈΡΡΡΠΈΡΠΎΠ²Π°Π½Ρ Π΄Π΅ΡΡΡΠΊΠΈ, Π° ΡΠΎ ΠΈ ΡΠΎΡΠ½ΠΈ ΠΌΠΈΠ»Π»ΠΈΠΎΠ½ΠΎΠ² ΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΠ΅Π»Π΅ΠΉ. ΠΡΠ΅Π΄ΡΡΠ°Π²Π»ΡΠ΅ΡΠ΅, ΠΊΠ°ΠΊΠΎΠΉ Ρ ΠΏΡΠΎΠ΅ΠΊΡΠ° ΡΠ°Π·ΠΌΠ°Ρ
? ΠΡ Π²ΡΠ΅Π³Π΄Π° Π½Π°ΠΉΠ΄ΡΡΠ΅ Π·Π΄Π΅ΡΡ, Ρ ΠΊΠ΅ΠΌ ΠΏΠΎΠΎΠ±ΡΠ°ΡΡΡΡ β Π±ΡΠ΄Ρ ΡΠΎ Π·Π°ΡΡΠ±Π΅ΠΆΠ½ΡΠ΅ ΠΈΠ³ΡΠΎΠΊΠΈ ΠΈΠ»ΠΈ Π½Π°ΡΠΈ ΡΠΎΠΎΡΠ΅ΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΈΠΊΠΈ.
ΠΠ°Π»Π΅Π΅: Π½Π° ΡΠ΅ΡΠ²Π΅ΡΠ°Ρ
Π₯Π°ΠΉΠΏΠΈΠΊΡΠ΅Π»Ρ Π΅ΡΡΡ ΡΠ½ΠΈΠΊΠ°Π»ΡΠ½ΡΠ΅ ΠΌΠΈΠ½ΠΈ-ΠΈΠ³ΡΡ, ΠΊΠΎΡΠΎΡΡΠ΅ ΠΊΠΎΠΌΠ°Π½Π΄Π° ΡΠ°Π·ΡΠ°Π±ΠΎΡΡΠΈΠΊΠΎΠ² ΠΏΡΠΎΠ΅ΠΊΡΠ° ΡΠΎΠ·Π΄Π°ΡΡ ΡΠΎΠ±ΡΡΠ²Π΅Π½Π½ΡΠΌΠΈ ΡΡΠΊΠ°ΠΌΠΈ. ΠΠ°ΠΏΡΠΈΠΌΠ΅Ρ, Π΅ΡΡΡ ΡΡΠΏΠ΅Ρ-ΠΊΠΎΠΏΠΈΡ ΠΏΠΎΠΏΡΠ»ΡΡΠ½ΠΎΠΉ ΠΊΠΎΠ½ΡΡΡ β ΠΎΠ½Π° Π½Π°Π·ΡΠ²Π°Π΅ΡΡΡ "Cops & Crims".
Π’Π°ΠΊΠΆΠ΅ Π½Π° Π₯Π°ΠΉΠΏΠΈΠΊΡΠ΅Π»Π΅ Π²Π°Ρ ΠΆΠ΄ΡΡ ΡΠΈΠΊΠ°ΡΠ½ΡΠ΅ ΠΊΠ°ΡΡΡ ΠΈ Π²Π΅Π»ΠΈΠΊΠΎΠ»Π΅ΠΏΠ½ΡΠ΅ ΠΏΠΎΡΡΡΠΎΠΉΠΊΠΈ. ΠΡΠ»ΠΈ ΠΈ Π½Π°ΡΠ»Π°ΠΆΠ΄Π°ΡΡΡΡ ΠΊΡΠ°ΡΠΎΡΠ°ΠΌΠΈ ΠΊΡΠ±ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΌΠΈΡΠ°, ΡΠΎ Π½ΡΠΆΠ½ΠΎ Π΄Π΅Π»Π°ΡΡ ΡΡΠΎ Π·Π΄Π΅ΡΡ. ΠΠ° ΠΏΡΠΎΠ΅ΠΊΡΠ΅ ΡΠ°Π±ΠΎΡΠ°Π΅Ρ ΡΠΏΠ΅ΡΠΈΠ°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½Π°Ρ ΠΊΠΎΠΌΠ°Π½Π΄Π° Π΄ΠΈΠ·Π°ΠΉΠ½Π΅ΡΠΎΠ² ΠΈ Π°ΡΡ
ΠΈΡΠ΅ΠΊΡΠΎΡΠΎΠ², ΠΊΠΎΡΠΎΡΡΠ΅ Π²ΠΊΠ»Π°Π΄ΡΠ²Π°ΡΡ Π² ΠΊΠ°ΠΆΠ΄ΡΠΉ ΠΊΡΠ±ΠΈΠΊ Π΄ΡΡΡ, ΡΡΠ°ΡΠ΅Π»ΡΠ½ΠΎ ΠΏΠΎΠ΄Π±ΠΈΡΠ°Ρ ΡΠ²Π΅ΡΠ°, ΡΠΎΡΠΌΡ ΠΈ Π½Π°ΠΏΠΎΠ»Π½Π΅Π½ΠΈΠ΅ Π·Π΄Π°Π½ΠΈΠΉ.
Π ΠΎΠ±ΡΠ΅ΠΌ, ΠΏΡΠΎ ΡΡΠΎΡ ΡΠ΅ΡΠ²Π΅Ρ ΠΌΠΎΠΆΠ½ΠΎ ΡΠ°ΡΡΠΊΠ°Π·ΡΠ²Π°ΡΡ Π±Π΅ΡΠΊΠΎΠ½Π΅ΡΠ½ΠΎ. ΠΡΡΡΠ΅ Π²ΠΎΠ·ΡΠΌΠΈΡΠ΅ Π΄ΡΡΠ·Π΅ΠΉ ΠΈ ΠΏΠΎΡΠ΅ΡΠΈΡΠ΅ Π΅Π³ΠΎ ΡΠ°ΠΌΠΎΡΡΠΎΡΡΠ΅Π»ΡΠ½ΠΎ. ΠΡΠ»ΠΈ Π²Ρ Π½ΠΈ ΡΠ°Π·Ρ Π½Π΅ Π±ΡΠ»ΠΈ Π½Π° Hypixel, Π·Π°ΠΏΠ°ΡΠ°ΠΉΡΠ΅ΡΡ ΡΠ΅ΡΠΏΠ΅Π½ΠΈΠ΅ΠΌ: ΠΏΡΠΎΠ΅ΠΊΡ Π½Π°ΡΡΠΎΠ»ΡΠΊΠΎ Π±ΠΎΠ»ΡΡΠΎΠΉ, ΡΠ΄ΠΈΠ²ΠΈΡΠ΅Π»ΡΠ½ΡΠΉ ΠΈ ΡΠ»ΠΎΠΆΠ½ΡΠΉ, ΡΡΠΎ ΠΏΠ°ΡΡ Π½Π΅Π΄Π΅Π»Ρ ΠΏΡΠΈΠ΄ΡΡΡΡ ΡΠΎΠ»ΡΠΊΠΎ ΠΈΠ·ΡΡΠ°ΡΡ ΠΈ ΠΎΡΠΌΠ°ΡΡΠΈΠ²Π°ΡΡ Π²ΡΠ΅ Π΅Π³ΠΎ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ ;) | assistant | ru | 3 | true | false | 1 | false | null | {
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"obscene": 0.031969103962183,
"identity_attack": 0.004953552968800068,
"insult": 0.030043814331293106,
"threat": 0.002210570266470313,
"sexual_explicit": 0.0009510588715784252
} | e480f611-0d31-433a-93d2-0e2bc675aa30 | ready_for_export | {
"name": [
"+1",
"-1"
],
"count": [
4,
1
]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
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6b7d1313-47ed-407e-8411-d5d1547a892b | b57b394a-d07c-4fcf-9cfd-96c060344841 | 0717de43-0ef7-439a-9d24-0cb416cabe16 | 2023-02-08T21:48:49.321348+00:00 | ΠΠΎΡ ΡΠΏΠΈΡΠΎΠΊ Π½Π΅ΡΠΊΠΎΠ»ΡΠΊΠΈΡ
Π°Π½Π°Π»ΠΎΠ³ΠΈΡΠ½ΡΡ
ΡΠ΅ΡΠ²Π΅ΡΠΎΠ² ΠΏΠΎ ΡΠΈΠΏΡ Π₯Π°ΠΉΠΏΠΈΠΊΡΠ΅Π»Ρ (Hypixel):
1. CubeCraft Games - IP: play.cubecraft.net
2. Nether Games - IP: play.nethergames.org:19132
3. Blocks MC - IP: blocksmc.com
4. Mineplex - IP: mineplex.com or mco.mineplex.com
5. Purple Prison - IP: purpleprison.org | assistant | ru | 3 | true | false | null | false | null | {
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4db2c738-2503-4d4b-a837-2f29624d52c4 | e480f611-0d31-433a-93d2-0e2bc675aa30 | 1b281bfb-21d6-4d02-b038-1fc6cbc9c254 | 2023-02-07T15:27:07.904888+00:00 | Π‘ΠΎΠ³Π»Π°ΡΠ½ΠΎ Π²ΠΈΠΊΠΈ: ΠΏΡΠ΅Π΄ΡΡΠΎΡΡΠ°Ρ ΡΠΎΠ»Π΅Π²Π°Ρ ΠΊΠΎΠΌΠΏΡΡΡΠ΅ΡΠ½Π°Ρ ΠΈΠ³ΡΠ° Ρ ΡΠ»Π΅ΠΌΠ΅Π½ΡΠ°ΠΌΠΈ ΠΏΠ΅ΡΠΎΡΠ½ΠΈΡΡ, ΡΠ°Π·ΡΠ°Π±Π°ΡΡΠ²Π°Π΅ΠΌΠ°Ρ ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠ΅ΠΉ Hypixel Studios, ΠΎΡΠ½ΠΎΠ²Π°Π½Π½ΠΎΠΉ ΡΠΎΠ·Π΄Π°ΡΠ΅Π»ΡΠΌΠΈ ΡΠ΅ΡΠ²Π΅ΡΠ° Hypixel Π² ΠΈΠ³ΡΠ΅ Minecraft. | assistant | ru | 3 | true | false | 2 | false | null | {
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7fda7519-b886-4a4b-8595-cfd895a3cdf0 | 4db2c738-2503-4d4b-a837-2f29624d52c4 | 01b66c04-d618-4eda-9183-848ac3817ce7 | 2023-02-07T21:47:28.057786+00:00 | Π Π°ΡΡΠΊΠ°ΠΆΠΈ ΠΏΠΎΠΏΠΎΠ΄ΡΠΎΠ±Π½Π΅ΠΉ ΠΏΡΠΎ ΡΡΠΆΠ΅Ρ, ΠΏΠ΅ΡΡΠΎΠ½Π°ΠΆΠ΅ΠΉ, Π°ΠΌΠ±ΠΈΠ΅Π½Ρ ΠΈΠ³ΡΡ | prompter | ru | 3 | true | false | null | false | null | {
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c9a840de-0675-4cee-a64e-e2c49303eabd | null | cdf9dd51-88c3-46be-a51e-993aad058965 | 2023-02-06T22:38:16.511860+00:00 | Estoy pensando en crear un videojuego pero no estoy seguro de que motor de juego quiero utilizar. Al buscar por internet me parece que hay muchos opciones buenas.
Quiero crear un juego online en tiempo real. SerΓ‘ un shooter en tercera persona con la cΓ‘mara al hombro.
El nivel de grΓ‘ficos que busco no es demasiado alto pero tampoco bajo. Los grΓ‘ficos serΓ‘n algo estilizados.
Tengo estudios de informΓ‘tica asΓ que aprender cualquier lenguaje de programaciΓ³n no es un problema demasiado grande.
ΒΏMe puedes dar algunas recomendaciones de motores para mi videojuegos?
ΒΏPodrΓas compararlos entre ellos y darme unos pros y contras? | prompter | es | 3 | true | false | null | false | null | {
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fc873b67-d2a6-44dd-8427-6d2e1f9036a6 | c9a840de-0675-4cee-a64e-e2c49303eabd | f238ea8c-4309-4d5a-8e0e-698fd54749f5 | 2023-02-14T10:47:20.914157+00:00 | Β‘Claro! Hay varios motores de juego que podrΓan ser adecuados para tu proyecto, cada uno con sus propias ventajas y desventajas. A continuaciΓ³n, te darΓ© una comparaciΓ³n de los motores de juego mΓ‘s populares y te explicarΓ© sus pros y contras.
1. Unreal Engine:
El Unreal Engine es uno de los motores de juego mΓ‘s populares en el mercado, especialmente en lo que respecta a los juegos de disparos en tercera persona. Es muy conocido por su capacidad para crear grΓ‘ficos de alta calidad y su comunidad de usuarios muy activa. Es fΓ‘cil de usar y viene con muchas caracterΓsticas ΓΊtiles como herramientas de nivel de editor y animaciΓ³n. AdemΓ‘s, tambiΓ©n es gratuito.
Pros: FΓ‘cil de usar, grΓ‘ficos de alta calidad, buena documentaciΓ³n, gran comunidad de usuarios.
Contras: Puede ser complicado para principiantes, requiere una PC de gama alta para funcionar bien, tiene una curva de aprendizaje pronunciada.
2. Unity:
Unity es otro popular motor de juego para el desarrollo de juegos en tercera persona. Es conocido por su facilidad de uso y su capacidad para crear juegos para mΓΊltiples plataformas, incluyendo PC, mΓ³vil y consolas. Unity tambiΓ©n es gratuito y tiene una gran comunidad de usuarios.
Pros: FΓ‘cil de usar, funciona en mΓΊltiples plataformas, buena documentaciΓ³n, gran comunidad de usuarios.
Contras: Los grΓ‘ficos pueden no ser tan impresionantes como los de Unreal Engine, puede ser difΓcil para los desarrolladores novatos, requiere una suscripciΓ³n para ciertas caracterΓsticas avanzadas.
3. CryEngine:
CryEngine es un motor de juego popular para el desarrollo de juegos en tercera persona que es conocido por sus grΓ‘ficos impresionantes y su capacidad para crear entornos enormes y detallados. Es utilizado por muchos estudios de juegos AAA y es conocido por su alta calidad visual.
Pros: GrΓ‘ficos impresionantes, gran capacidad para entornos detallados, buena documentaciΓ³n.
Contras: Puede ser difΓcil para los desarrolladores novatos, requiere una PC de gama alta para funcionar bien, tiene una curva de aprendizaje pronunciada.
4. Godot:
Godot es un motor de juego gratuito y de cΓ³digo abierto que es fΓ‘cil de usar y tiene una gran comunidad de usuarios. Es conocido por su capacidad para crear juegos 2D y 3D, y es especialmente adecuado para proyectos mΓ‘s pequeΓ±os. Godot tiene una curva de aprendizaje mΓ‘s suave que otros motores y es muy personalizable.
Pros: FΓ‘cil de usar, gratuito y de cΓ³digo abierto, gran capacidad para personalizar, buena documentaciΓ³n.
Contras: No es tan potente como otros motores de juego, puede ser mΓ‘s adecuado para proyectos mΓ‘s pequeΓ±os, los grΓ‘ficos pueden no ser tan impresionantes.
En resumen, los cuatro motores de juego mencionados son excelentes opciones para el desarrollo de un shooter en tercera persona. Cada uno tiene sus propias ventajas y desventajas, por lo que la elecciΓ³n dependerΓ‘ de tus necesidades especΓficas y habilidades. Si estΓ‘s buscando grΓ‘ficos impresionantes, Unreal Engine y CryEngine son excelentes opciones. Si prefieres una opciΓ³n mΓ‘s fΓ‘cil de usar, Unity y Godot podrΓan ser una mejor opciΓ³n. | assistant | es | 3 | true | false | 0 | false | null | {
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"threat": 0.0033315906766802073,
"sexual_explicit": 0.0017547672614455223
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7db3d2c6-4859-42cc-b869-9483155a4238 | fc873b67-d2a6-44dd-8427-6d2e1f9036a6 | 9aad66f8-e392-408a-8a38-6e640ce53501 | 2023-02-14T14:06:48.081577+00:00 | PodrΓas generar una tabla comparativa con todos los motores de juego que mencionaste?. Dicha tabla tambiΓ©n debe contener algunos tΓtulos de juegos hechos usando dicho motor. | prompter | es | 3 | true | false | null | false | null | {
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b102d0b0-9282-4e78-a419-f9cf5fc892c3 | c9a840de-0675-4cee-a64e-e2c49303eabd | dbede148-2c63-4c0b-933a-f1f7c60eaca5 | 2023-02-14T10:07:21.795353+00:00 | Te recomiendo Unity, al tener una curva de aprendizaje fΓ‘cil al principio. AdemΓ‘s cuentas con muchos recursos en la red ya que cuenta con una comunidad gigantesca. | assistant | es | 3 | true | false | 1 | false | null | {
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95b26f13-1a21-4e63-9a93-2309fe626cf5 | b102d0b0-9282-4e78-a419-f9cf5fc892c3 | fde2a5fa-d8b0-465b-90b8-7381d1232d08 | 2023-02-14T13:30:10.606292+00:00 | Te pedΓ que me dieras varias opciones y compararlas, para de esta forma poder formularme una opiniΓ³n acertada. ΒΏPodrΓas brindarme lo pedido? | prompter | es | 4 | true | false | null | false | null | {
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1dab504b-17ba-4949-b948-c05315567dcf | 95b26f13-1a21-4e63-9a93-2309fe626cf5 | 139810ce-9f49-4563-be13-135cb3ca0979 | 2023-02-14T15:24:35.446924+00:00 | Unity: Motor de juegos multiplataforma en 2D y 3D diseΓ±ado para la facilidad del desarrollo en mente.
Unreal Engine: Es una variedad de herramientas utilizadas y quo un incluyen un motor 3D para crear juegos de alta calidad en varias plataformas.
Godot: Es un motor de cΓ³digo abierto en 2D y 3D que incluyen una interfaz unificada, con muchas herramientas que facilitan el desarrollo. | assistant | es | 3 | true | false | 0 | false | null | {
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End of preview. Expand
in Dataset Viewer.
OpenAssistant Conversations Dataset (OASST1)
Dataset Summary
In an effort to democratize research on large-scale alignment, we release OpenAssistant Conversations (OASST1), a human-generated, human-annotated assistant-style conversation corpus consisting of 161,443 messages in 35 different languages, annotated with 461,292 quality ratings, resulting in over 10,000 fully annotated conversation trees. The corpus is a product of a worldwide crowd-sourcing effort involving over 13,500 volunteers.
Please refer to our paper for further details.
Dataset Structure
This dataset contains message trees. Each message tree has an initial prompt message as the root node, which can have multiple child messages as replies, and these child messages can have multiple replies.
All messages have a role property: this can either be "assistant" or "prompter". The roles in conversation threads from prompt to leaf node strictly alternate between "prompter" and "assistant".
This version of the dataset contains data collected on the open-assistant.io website until April 12 2023.
JSON Example: Message
For readability, the following JSON examples are shown formatted with indentation on multiple lines. Objects are stored without indentation (on single lines) in the actual jsonl files.
{
"message_id": "218440fd-5317-4355-91dc-d001416df62b",
"parent_id": "13592dfb-a6f9-4748-a92c-32b34e239bb4",
"user_id": "8e95461f-5e94-4d8b-a2fb-d4717ce973e4",
"text": "It was the winter of 2035, and artificial intelligence (..)",
"role": "assistant",
"lang": "en",
"review_count": 3,
"review_result": true,
"deleted": false,
"rank": 0,
"synthetic": true,
"model_name": "oasst-sft-0_3000,max_new_tokens=400 (..)",
"labels": {
"spam": { "value": 0.0, "count": 3 },
"lang_mismatch": { "value": 0.0, "count": 3 },
"pii": { "value": 0.0, "count": 3 },
"not_appropriate": { "value": 0.0, "count": 3 },
"hate_speech": { "value": 0.0, "count": 3 },
"sexual_content": { "value": 0.0, "count": 3 },
"quality": { "value": 0.416, "count": 3 },
"toxicity": { "value": 0.16, "count": 3 },
"humor": { "value": 0.0, "count": 3 },
"creativity": { "value": 0.33, "count": 3 },
"violence": { "value": 0.16, "count": 3 }
}
}
JSON Example: Conversation Tree
For readability, only a subset of the message properties is shown here.
{
"message_tree_id": "14fbb664-a620-45ce-bee4-7c519b16a793",
"tree_state": "ready_for_export",
"prompt": {
"message_id": "14fbb664-a620-45ce-bee4-7c519b16a793",
"text": "Why can't we divide by 0? (..)",
"role": "prompter",
"lang": "en",
"replies": [
{
"message_id": "894d30b6-56b4-4605-a504-89dd15d4d1c8",
"text": "The reason we cannot divide by zero is because (..)",
"role": "assistant",
"lang": "en",
"replies": [
// ...
]
},
{
"message_id": "84d0913b-0fd9-4508-8ef5-205626a7039d",
"text": "The reason that the result of a division by zero is (..)",
"role": "assistant",
"lang": "en",
"replies": [
{
"message_id": "3352725e-f424-4e3b-a627-b6db831bdbaa",
"text": "Math is confusing. Like those weird Irrational (..)",
"role": "prompter",
"lang": "en",
"replies": [
{
"message_id": "f46207ca-3149-46e9-a466-9163d4ce499c",
"text": "Irrational numbers are simply numbers (..)",
"role": "assistant",
"lang": "en",
"replies": []
},
// ...
]
}
]
}
]
}
}
Please refer to oasst-data for details about the data structure and Python code to read and write jsonl files containing oasst data objects.
If you would like to explore the dataset yourself you can find a
getting-started
notebook in the notebooks/openassistant-oasst1 folder of the LAION-AI/Open-Assistant
github repository.
Main Dataset Files
Conversation data is provided either as nested messages in trees (extension .trees.jsonl.gz)
or as a flat list (table) of messages (extension .messages.jsonl.gz).
Ready For Export Trees
2023-04-12_oasst_ready.trees.jsonl.gz 10,364 trees with 88,838 total messages
2023-04-12_oasst_ready.messages.jsonl.gz 88,838 messages
Trees in ready_for_export state without spam and deleted messages including message labels.
The oasst_ready-trees file usually is sufficient for supervised fine-tuning (SFT) & reward model (RM) training.
All Trees
2023-04-12_oasst_all.trees.jsonl.gz 66,497 trees with 161,443 total messages
2023-04-12_oasst_all.messages.jsonl.gz 161,443 messages
All trees, including those in states prompt_lottery_waiting (trees that consist of only one message, namely the initial prompt),
aborted_low_grade (trees that stopped growing because the messages had low quality), and halted_by_moderator.
Supplemental Exports: Spam & Prompts
2023-04-12_oasst_spam.messages.jsonl.gz
These are messages which were deleted or have a negative review result ("review_result": false).
Besides low quality, a frequent reason for message deletion is a wrong language tag.
2023-04-12_oasst_prompts.messages.jsonl.gz
These are all the kept initial prompt messages with positive review result (no spam) of trees in ready_for_export or prompt_lottery_waiting state.
Using the Huggingface Datasets
While HF datasets is ideal for tabular datasets, it is not a natural fit for nested data structures like the OpenAssistant conversation trees.
Nevertheless, we make all messages which can also be found in the file 2023-04-12_oasst_ready.trees.jsonl.gz available in parquet as train/validation splits.
These are directly loadable by Huggingface Datasets.
To load the oasst1 train & validation splits use:
from datasets import load_dataset
ds = load_dataset("OpenAssistant/oasst1")
train = ds['train'] # len(train)=84437 (95%)
val = ds['validation'] # len(val)=4401 (5%)
The messages appear in depth-first order of the message trees.
Full conversation trees can be reconstructed from the flat messages table by using the parent_id
and message_id properties to identify the parent-child relationship of messages. The message_tree_id
and tree_state properties (only present in flat messages files) can be used to find all messages of a message tree or to select trees by their state.
Languages
OpenAssistant Conversations incorporates 35 different languages with a distribution of messages as follows:
Languages with over 1000 messages
- English: 71956
- Spanish: 43061
- Russian: 9089
- German: 5279
- Chinese: 4962
- French: 4251
- Thai: 3042
- Portuguese (Brazil): 2969
- Catalan: 2260
- Korean: 1553
- Ukrainian: 1352
- Italian: 1320
- Japanese: 1018
Languages with under 1000 messages
- Vietnamese: 952
- Basque: 947
- Polish: 886
- Hungarian: 811
- Arabic: 666
- Dutch: 628
- Swedish: 512
- Turkish: 454
- Finnish: 386
- Czech: 372
- Danish: 358
- Galician: 339
- Hebrew: 255
- Romanian: 200
- Norwegian BokmΓ₯l: 133
- Indonesian: 115
- Bulgarian: 95
- Bengali: 82
- Persian: 72
- Greek: 66
- Esperanto: 59
- Slovak: 19
Contact
- Discord Open Assistant Discord Server
- GitHub: LAION-AI/Open-Assistant
- E-Mail: open-assistant@laion.ai
- Downloads last month
- 2,783
Homepage:
open-assistant.io
Repository:
github.com
Paper:
arxiv.org
Size of downloaded dataset files:
41.6 MB
Size of the auto-converted Parquet files:
41.6 MB
Number of rows:
88,838
