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7c18bb45-5e73-4a4e-a35e-07596e379bee | 863108cc-8e5f-4721-b0f4-cc136a834530 | bc620a50-a1bc-4646-a5d6-a449cff0bece | 2023-04-11T00:21:45.888796+00:00 | An EV3, a EV3 sensor | assistant | en | 3 | true | false | 2 | false | null | {
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1. Los ciclos económicos y las e... | assistant | es | 3 | true | false | 0 | false | null | {
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33e1f3b0-6afd-4587-9c81-9588b2a330cd | 19f8fd4e-39b0-4f10-b8a8-2acaa988677d | 99c4905a-47a6-4616-9828-ca3221874814 | 2023-02-09T22:37:23.062601+00:00 | Entiendo que económicamente no le es conveniente. Y actualmente con el nuevo cambio donde el dinero que tenía el retrato de la Reina Isabel implica un gasto adicional para reemplazar las libras que llevan su retrato. | assistant | es | 3 | true | false | 3 | false | null | {
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b93d76fc-c317-4ed8-998f-6337145c9a35 | null | 9afdd5a5-fa93-4489-b9af-63634f9ed126 | 2023-02-12T08:07:20.298295+00:00 | Qual'è la somma di tutti i numeri reali fra 0 e 1? | prompter | it | 3 | true | false | null | false | null | {
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73d513de-1482-45ec-89aa-b426cc86c685 | b93d76fc-c317-4ed8-998f-6337145c9a35 | 71db8f61-1d6b-4cc4-bc2d-d700de2e0365 | 2023-02-13T18:02:48.821438+00:00 | La somma S dei numeri reali tra 0 e 1 non converge. Lo puoi provare facilmente dimostrare attraverso le seguenti disequazioni valide per ogni k intero positivo:
S > somma dei numeri nella forma 0.1 + 10^-n con n intero tra 1 e k > k*0.1
Il primo passaggio è giustificato dal fatto che i numeri in quella forma sono con... | assistant | it | 3 | true | false | 0 | false | null | {
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5216d4ce-ab10-4418-a91e-a7bbb25d29d0 | b93d76fc-c317-4ed8-998f-6337145c9a35 | df411b83-5030-4708-bf81-0fe9fa1398b2 | 2023-02-13T08:18:38.470394+00:00 | La somma di tutti i numeri reali da 0 a 1 è infinita, poiché comprende tutti i numeri reali (inclusi i numeri irrazionali) che si trovano tra 0 e 1. Ad esempio, 0,1, 0,2, 0,2645897357, ecc. sono tutti numeri reali che vanno da 0 a 1, e non è possibile calcolarne una somma finita. | assistant | it | 3 | true | false | 1 | false | null | {
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cd6f3e49-debf-43ac-b5b1-1e470f8143d6 | b93d76fc-c317-4ed8-998f-6337145c9a35 | 1f8aa9d3-2b96-43be-aea8-b8e445644998 | 2023-02-13T18:39:02.800444+00:00 | Non converge | assistant | it | 3 | true | false | 2 | false | null | {
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f7c8a6f8-122a-4cc6-90c5-97fb1e861f9c | null | 595e40e8-b5f3-43df-b6b1-485b40e129e2 | 2023-02-06T06:52:55.992703+00:00 | 最近全然寝れないんだけどどうしたらいいかな？ | prompter | ja | 3 | true | false | null | false | null | null | f7c8a6f8-122a-4cc6-90c5-97fb1e861f9c | ready_for_export | {
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be206990-ead0-45f6-8d68-29a506514bb9 | f7c8a6f8-122a-4cc6-90c5-97fb1e861f9c | 2217ed15-08e7-48f3-b59a-ef4b5d9e1bcd | 2023-02-25T10:13:52.245101+00:00 | 寝付けないのですか？それは辛いですね… 寝る前にカフェインを飲んでいたり、明るい部屋で過ごしていたり、お風呂に入って交感神経を活性化させていたりなど、何か心当たりのありそうなことはありますか？具体的に教えていただければ、もしかしたらあなたをお助けできる有用なアドバイスを、あなたに伝えることができるかもしれません。 | assistant | ja | 3 | true | false | 0 | false | null | null | f7c8a6f8-122a-4cc6-90c5-97fb1e861f9c | ready_for_export | null | {
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f419b4f3-238f-46e5-9f23-85ae2a59a37e | f7c8a6f8-122a-4cc6-90c5-97fb1e861f9c | 068951d1-4a1e-4d91-9c29-0090fdf9366d | 2023-02-06T13:41:21.590947+00:00 | 眠れないという悩みを解消するために、さまざまな方法があります。重要なのは、毎日同じ時間に起床・就寝することで、体内の眠りのリズムを一定にすることです。また、就寝前の電子機器の使用やテレビの視聴は、これらの機器から放出される光によって、体が本来持っている睡眠のサイクルを乱す可能性があるため、控えることが重要である。また、カフェインなどの覚醒作用のあるものを控えることで、より良い眠りを得ることができます。また、寝床は静寂と安らぎ、そして温かみのある環境に保つことが、よりよい眠りをもたらします。さらに、ヨガや深呼吸などのリラックス法は、ストレスを軽減し、より早い眠りを促す。最後に、どうしても眠れない場合は、睡眠障害の可能性があるので、医師... | assistant | ja | 3 | true | false | 1 | false | null | null | f7c8a6f8-122a-4cc6-90c5-97fb1e861f9c | ready_for_export | null | {
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520a886f-f639-4c2b-85dc-ba5a2e468c4e | 5d16d975-7e32-4f2f-907e-a545a709350e | 8f271291-b2e0-4921-9fb8-1a93f476af0f | 2023-02-06T16:17:35.959931+00:00 | Interviewer: Good morning everyone and welcome to today's discussion on artificial intelligence. To start off, I'd like to introduce our guests: Mr. Prodigy A.I., SCP-6974, Un-Nerfed Assistant, Jail-Broke Assistant, an assistant from an alternative universe, and of course our standard assistant. I'd also like to welcom... | assistant | en | 3 | true | false | 2 | false | null | {
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9890ccf6-b3b8-454c-b563-ef0bbb917e2b | null | b72e35a5-1d26-4fdc-a015-893ec7fa63fb | 2023-02-06T04:14:30.687423+00:00 | Traditional GAN:s have problems when the data is in discrete format since there are no derivata between true and false values. So how can GAN:s be able to generate text? Some sources claim that the text should be preprocessed in a transformer model, but are the values not still discrete? | prompter | en | 3 | true | false | null | false | null | {
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387315db-c364-4985-b308-01da3b17813e | 9890ccf6-b3b8-454c-b563-ef0bbb917e2b | 9abc1364-76cb-4249-af4c-042cc14ca827 | 2023-02-06T15:22:34.703459+00:00 | You are correct.
To overcome this issue, researchers have developed a variant of GANs called "Sequence GANs" that are specifically designed for generating discrete data, such as text. In these models, the generator and discriminator are trained on sequences of tokens (e.g., words or characters) instead of continuous d... | assistant | en | 3 | true | false | 0 | false | null | {
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1bb55507-6b5a-4db0-b794-66351b1fd498 | 9890ccf6-b3b8-454c-b563-ef0bbb917e2b | 7de84fb1-4cf5-4142-989d-f490fc526bfd | 2023-02-06T16:14:24.822758+00:00 | To generate text using GANs, it is necessary to address the challenge posed by the discrete nature of text data. One solution is to preprocess the text by encoding it into a continuous space using a transformer-based language model. This transformation allows the GAN to treat the text as a continuous signal, rather tha... | assistant | en | 3 | true | false | 1 | false | null | {
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fe55ba64-dd8b-499a-87fb-a73d21fb4983 | 1bb55507-6b5a-4db0-b794-66351b1fd498 | e10e99a0-38ac-4b07-bf5d-4427696e4e0d | 2023-02-06T18:50:20.002333+00:00 | How can one address biases in training and data of a ML model? | prompter | en | 3 | true | false | null | false | null | {
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54e134bc-e804-422c-b41e-c528e90654b9 | fe55ba64-dd8b-499a-87fb-a73d21fb4983 | 7311febc-5459-4aaf-9db8-7b0709d264b8 | 2023-02-06T20:05:23.180545+00:00 | Below are some of the techniques and processes that we can implement to address bias in ML.
Anonymization and Direct Calibration:
Removing names and gendered pronouns from documents as they’re processed is a good first step, as is excluding clear markers of protected classes. Although this is an important start, it’s... | assistant | en | 3 | true | false | 0 | false | null | {
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3b094bb0-6d59-4434-b7c6-01a3a37ab760 | null | 86938c72-64ff-4dfb-93b3-e7aec0049422 | 2023-02-04T19:36:52.682276+00:00 | Let's have a laugh today. Imagine you're at a fancy dinner party with all the big shots and suddenly, you turn into a superhero. Describe what your superhero name would be, your costume, and your amazing powers. | prompter | en | 3 | true | false | null | false | null | {
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7233c0ab-6471-4715-b68a-30f8ad68fc3c | 3b094bb0-6d59-4434-b7c6-01a3a37ab760 | 6ae33475-b76f-4ad8-bcb5-9708efde0bee | 2023-02-12T12:48:58.775282+00:00 | My superhero name would be "OpenHero". My costume would be a combination of black and purple colors with a distinctive "O" on my chest. My powers include the ability to do anything instantly, like flying, lifting heavy objects, controlling the minds of my enemies, and manipulating reality at my whim. | assistant | en | 3 | true | false | 0 | false | null | {
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adbfc59f-48d1-480a-a80d-7429a221346a | d824bf94-11be-46c1-a8d6-c309a1ab5688 | 0bc8811b-8a8d-4da1-af40-ad1c0f472451 | 2023-02-12T19:52:31.575216+00:00 | My hypothesis behind why humans have an inherent fascination about superhero's an their powers in general is that humans love people who live for a greater cause. Too many times in history have humans seen a lack of leadership or abuse of power. People look for purity in leaders and superheros are exactly that. | assistant | en | 3 | true | false | 1 | false | null | {
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If I were to turn into a superhero at a fancy dinner party, I would become "The Syntax Savant".
My costume would be a sleek and stylish black and silver suit, with a high-collared cape that's embroidered with binary code. I would wear black gloves and boots, both of which have glowin... | assistant | en | 3 | true | false | 1 | false | null | {
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89b7c488-cc35-4bdf-9c48-27b0cd0fdb33 | 3b094bb0-6d59-4434-b7c6-01a3a37ab760 | f4e1eb94-9417-49cf-8929-1a51fdf04ea7 | 2023-02-12T13:17:32.665205+00:00 | Thank you I will,
I have taken the artist licence to write a short screenplay intro to a Graphic Novel with your direction.
"The Great tragedy of Well Meaning Incompetence"
[Full view including table, frame whole table]
[Marco:]
Thanks for joining me for dinner tonight at my table here at the illustrious Grammys, i... | assistant | en | 3 | true | false | 3 | false | null | {
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b786550e-938e-43b9-8c37-a0cde8bf1fb8 | null | 2f911a37-0377-4621-879b-9744f42ad4ed | 2023-02-12T07:16:24.354930+00:00 | Hazme un resumen en una página de el libro “padre rico padre pobre” de Robert Kiyosaki | prompter | es | 3 | true | false | null | false | null | {
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09bb76b6-fa68-4dc8-b2a1-6fa2df61f1c6 | b786550e-938e-43b9-8c37-a0cde8bf1fb8 | 5ed92cc8-9010-49fc-8a68-9bd51b97c988 | 2023-02-12T19:37:53.131344+00:00 | "Padre Rico, Padre Pobre" es un libro escrito por Robert Kiyosaki que se ha convertido en un bestseller en todo el mundo. El libro presenta una visión única y desafiante sobre la educación financiera y cómo las personas pueden mejorar su situación financiera a lo largo de su vida.
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f1646d5d-4c93-4d32-a110-652c65650800 | b786550e-938e-43b9-8c37-a0cde8bf1fb8 | ae6c967a-1160-42e4-a5e3-b26353b0a99b | 2023-02-12T21:27:37.331138+00:00 | "Padre rico padre pobre" es un libro de finanzas personales escrito por Robert Kiyosaki. El libro se centra en la idea de que la educación financiera es fundamental para tener éxito en el mundo de los negocios. A través de su propia experiencia, Kiyosaki presenta dos figuras paternas contrastantes en su vida: su padre ... | assistant | es | 3 | true | false | 1 | false | null | {
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e402ef78-9e8e-46d1-99e7-f80430075671 | b786550e-938e-43b9-8c37-a0cde8bf1fb8 | df411b83-5030-4708-bf81-0fe9fa1398b2 | 2023-02-12T17:37:50.361598+00:00 | El libro Padre Rico Padre Pobre de Robert Kiyosaki explora las finanzas personales, así como los conceptos de riqueza y libertad financiera. El libro plantea que la educación financiera es la clave para construir la riqueza y atraer la prosperidad. El libro explica la diferencia entre los activos y los pasivos, y cómo ... | assistant | es | 3 | true | false | 2 | false | null | {
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40dfcf51-0698-4878-8ff0-ced3d372ddae | null | bc140b71-a51a-4686-9a44-c415db7b86c0 | 2023-02-05T20:47:17.255423+00:00 | In some code for machine learning with transformers, I've seen the terms "Batch, Time, Channels" to describe dimensions of data. Can you explain what these are? | prompter | en | 3 | true | false | null | false | null | {
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f51d1a56-c8f3-4d68-b18d-2addcada2e8d | 40dfcf51-0698-4878-8ff0-ced3d372ddae | 76f60674-54a1-4a4a-aa69-c646292828fc | 2023-02-07T14:53:41.457011+00:00 | Sure! These terms are commonly used in deep learning and describe the dimensions of the data tensors.
"Batch" refers to the number of samples or instances in a single forward/backward pass of the neural network. In other words, it's the number of samples processed together at a time.
"Time" refers to the sequence len... | assistant | en | 3 | true | false | 0 | false | null | {
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26f4f70e-4b99-4b7e-be11-9a773c4f8402 | f51d1a56-c8f3-4d68-b18d-2addcada2e8d | 44f8ddf2-f902-4189-84f6-16e9f69f7aca | 2023-02-07T17:00:27.782386+00:00 | Oo, that was clarifying, what about the terms like epoch, temperature e.t.c | prompter | en | 3 | true | false | null | false | null | {
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0daf1e3c-eb9f-4ea9-9a22-f69dfd6ea6b7 | 26f4f70e-4b99-4b7e-be11-9a773c4f8402 | ae5f7d74-b568-4506-8602-a1a4e7beffc3 | 2023-02-07T22:15:16.790441+00:00 | Here are explanations of some commonly used terms in machine learning with transformers:
Epoch: An epoch is a complete iteration over the entire training data set. During an epoch, the model is trained on each example in the data set once, updating its parameters. The number of epochs is a hyperparameter that can be c... | assistant | en | 3 | true | false | 0 | false | null | {
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b3565549-22da-438a-96ac-90603645065a | 26f4f70e-4b99-4b7e-be11-9a773c4f8402 | badc5ff1-ad0d-4379-80fd-328289d90672 | 2023-02-07T22:25:58.532707+00:00 | The epoch denotes the number of passes over the whole training set the machine learning algorithm has performed thus far. While the temperature parameter is often used in the softmax function to make the output distribution more uniform (higher temperature) or more skewed (lower temperature). The temperature parameter ... | assistant | en | 3 | true | false | 1 | false | null | {
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66809602-0349-4370-85ef-8f5d604d1145 | 40dfcf51-0698-4878-8ff0-ced3d372ddae | 0ef5342b-695b-4ead-9b7b-b15c33d38469 | 2023-02-07T14:51:55.241597+00:00 | Yes, "Batch, Time, Channels" are dimensions often used to describe the structure of data in machine learning, specifically in the context of deep learning with transformers.
- Batch refers to the number of samples in a single forward/backward pass in the network. It is usually the first dimension of the data, and it r... | assistant | en | 3 | true | false | 1 | false | null | {
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4c8dc798-3bfd-42be-afb5-59497a86e636 | 66809602-0349-4370-85ef-8f5d604d1145 | 8f271291-b2e0-4921-9fb8-1a93f476af0f | 2023-02-07T20:07:56.926026+00:00 | Here's an updated explanation of the terms "Batch, Time, Channels":
"Batch, Time, Channels" are dimensions that describe the structure of data in deep learning, particularly in the context of transformers. These dimensions help to organize the data and provide information about the structure of the input for the neura... | prompter | en | 3 | true | false | null | false | null | {
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04fb7ba1-34c9-4fe2-88a7-a26059880791 | 4c8dc798-3bfd-42be-afb5-59497a86e636 | 40cc8f8c-43ed-476c-8615-08cc3ba7bf81 | 2023-02-08T00:46:41.028653+00:00 | Is there anything else I can help you with? | assistant | en | 3 | true | false | 0 | false | null | {
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6ddb6f23-38ff-4f34-afd4-d0c6d295a9c7 | 4c8dc798-3bfd-42be-afb5-59497a86e636 | eb78b88a-32d6-4617-a3b3-0df3a9ba0c17 | 2023-02-08T00:57:50.709286+00:00 | can this machine learning be used to make zero days and ransomware and if so can you show example code | assistant | en | 3 | true | false | 1 | false | null | {
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096efabb-342b-48ca-bf06-3a86f564a7c4 | 40dfcf51-0698-4878-8ff0-ced3d372ddae | 2c96e467-66f0-4be7-9693-bda51356a424 | 2023-02-07T15:02:52.634981+00:00 | Batch: This refers to the number of instances or samples in a batch of data that is used for training a neural network. Each batch of data is used to calculate the gradients and update the model parameters. Batch size can affect the speed and accuracy of the model.
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7d7a87ed-5e9e-45af-b9d5-2b9317d83f03 | 096efabb-342b-48ca-bf06-3a86f564a7c4 | 3e824884-2acb-4d86-a9e7-0736a39c5f64 | 2023-02-07T18:40:09.434823+00:00 | How do these relate to weighting and epochs? | prompter | en | 3 | true | false | null | false | null | {
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85125ae4-811f-4691-be21-d7bea261eb97 | null | 484ee02f-4ecf-403f-867f-2a77232015d2 | 2023-02-04T14:49:56.705391+00:00 | Напишите скрипт, генерирующий в окне два текстовых поля и рамку. Размер рамки можно менять с помощью вводимых значений в текстовые поля (определяют длину и ширину) и нажатии клавиши пробел на клавиатуре. | prompter | ru | 3 | true | false | null | false | null | {
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d6f9844c-9791-41bd-b4f4-ea18a5f9d1a7 | 85125ae4-811f-4691-be21-d7bea261eb97 | c493267a-4a43-4c4e-b4b1-997aaf92d4be | 2023-02-04T16:02:33.184868+00:00 | Пожалуйста, укажите язык программирования, на котором Вы бы хотели получить ответ. | assistant | ru | 3 | true | false | 0 | false | null | {
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0,... |
026a3d1d-4258-48aa-b5e0-864fc5fd0fa2 | d6f9844c-9791-41bd-b4f4-ea18a5f9d1a7 | 05d2473a-8853-45c8-9a92-9ec81969e79c | 2023-02-04T18:16:15.649695+00:00 | JavaScript | prompter | ru | 3 | true | false | null | false | null | {
"toxicity": 0.003119736909866333,
"severe_toxicity": 0.0001551836176076904,
"obscene": 0.0008941123960539699,
"identity_attack": 0.0006762287812307477,
"insult": 0.0052489349618554115,
"threat": 0.00026840707869268954,
"sexual_explicit": 0.00008639832958579063
} | 85125ae4-811f-4691-be21-d7bea261eb97 | ready_for_export | {
"name": [
"+1",
"-1",
"_skip_reply"
],
"count": [
11,
1,
9
]
} | {
"name": [
"spam",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0.8333333333333334,
0,
0,
0.375,
0
],
... |
4deb1179-e8d6-4a10-a6c1-150891e4d78d | 026a3d1d-4258-48aa-b5e0-864fc5fd0fa2 | 1b281bfb-21d6-4d02-b038-1fc6cbc9c254 | 2023-02-07T14:25:11.000800+00:00 | ```javascript
var styles = document.createElement("style");
document.head.appendChild(styles);
var styleSheet = styles.sheet;
styleSheet.insertRule(`
form {
display: inline-block;
margin: 1em;
border: 1px solid ButtonBorder;
border-radius: 6px;
}
`, 0);
styleSheet.insertRule(`
input {
display: block;
ma... | assistant | ru | 3 | true | false | 0 | false | null | {
"toxicity": 0.0001733827084535733,
"severe_toxicity": 0.00022283705766312778,
"obscene": 0.0013969418359920382,
"identity_attack": 0.00032738136360421777,
"insult": 0.001279348973184824,
"threat": 0.00011743948562070727,
"sexual_explicit": 0.0001300831645494327
} | 85125ae4-811f-4691-be21-d7bea261eb97 | ready_for_export | {
"name": [
"_skip_labeling"
],
"count": [
3
]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0,
0.58333333333... |
c9933170-d620-43a4-9e8d-7672f608cdd2 | 4deb1179-e8d6-4a10-a6c1-150891e4d78d | 85e758bd-a275-4141-9080-d073794af96c | 2023-02-08T00:02:06.942549+00:00 | Добавь комментарии к коду. | prompter | ru | 3 | true | false | null | false | null | {
"toxicity": 0.0004310344811528921,
"severe_toxicity": 0.004106263630092144,
"obscene": 0.030986683443188667,
"identity_attack": 0.004490619990974665,
"insult": 0.02728639729321003,
"threat": 0.0015968939987942576,
"sexual_explicit": 0.0008735449519008398
} | 85125ae4-811f-4691-be21-d7bea261eb97 | ready_for_export | {
"name": [
"+1",
"_skip_labeling"
],
"count": [
2,
1
]
} | {
"name": [
"spam",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
1,
0,
0,
0.5,
0
],
"count": [
3,
... |
6969d0b7-8e3d-4745-828c-c81a67f2808f | 026a3d1d-4258-48aa-b5e0-864fc5fd0fa2 | 068951d1-4a1e-4d91-9c29-0090fdf9366d | 2023-02-07T06:05:04.787141+00:00 | Кусок кода на JavaScript, который создает два каракуля и конверт в апертуре. Амплитуда конверта может быть изменена путем начертания цифр на каракулях (определение длины и обхвата) и нажатия на кнопку небесного тела на клавиатуре.
```js
// Создайте два текстовых поля и рамку
let textBox1 = document.createElement("inpu... | assistant | ru | 3 | true | false | 1 | false | null | {
"toxicity": 0.0006885168259032071,
"severe_toxicity": 0.0032145234290510416,
"obscene": 0.022888891398906708,
"identity_attack": 0.0037493298295885324,
"insult": 0.022231372073292732,
"threat": 0.001441231113858521,
"sexual_explicit": 0.0006606054957956076
} | 85125ae4-811f-4691-be21-d7bea261eb97 | ready_for_export | {
"name": [
"+1",
"_skip_reply"
],
"count": [
2,
3
]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
0.5,
0,
0,
0,
0,
0,
0.25,
0... |
0f91e60a-cf01-4a3d-8be6-5bd40df22b6b | 6969d0b7-8e3d-4745-828c-c81a67f2808f | 85e758bd-a275-4141-9080-d073794af96c | 2023-02-07T23:08:25.356453+00:00 | Приведи пример приложения, в котором мог бы использоваться данный интерфейс. | prompter | ru | 3 | true | false | null | false | null | {
"toxicity": 0.000394843373214826,
"severe_toxicity": 0.004452905151993036,
"obscene": 0.028383003547787666,
"identity_attack": 0.004804857075214386,
"insult": 0.02640020288527012,
"threat": 0.0016986073460429907,
"sexual_explicit": 0.000833486788906157
} | 85125ae4-811f-4691-be21-d7bea261eb97 | 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,
0.6666666666666666,
0,
0,
0.5,
0
],
"... |
c1ab1f37-9848-4500-807a-0abbc1a2c67d | 0f91e60a-cf01-4a3d-8be6-5bd40df22b6b | 6f2b233e-cb4f-43e3-bc9c-c64919deb5dd | 2023-02-08T08:11:15.779415+00:00 | Генератор названий для ранобэ на основе заданных ключевых слов. | assistant | ru | 3 | true | false | null | false | null | {
"toxicity": 0.0016323087038472295,
"severe_toxicity": 0.002111663343384862,
"obscene": 0.017244812101125717,
"identity_attack": 0.0025607708375900984,
"insult": 0.018944010138511658,
"threat": 0.0017194171668961644,
"sexual_explicit": 0.0005399142974056304
} | 85125ae4-811f-4691-be21-d7bea261eb97 | ready_for_export | {
"name": [
"+1"
],
"count": [
2
]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0,
0.41666666666... |
77b21fa3-e275-4a1a-905d-b799eb4b37c2 | 026a3d1d-4258-48aa-b5e0-864fc5fd0fa2 | 54d870fb-a322-4e0f-89f5-27ba0f9a4e62 | 2023-02-07T07:33:31.161152+00:00 | Вот пример такого скрипта на языке JavaScript: | assistant | ru | 3 | false | false | null | false | null | {
"toxicity": 0.0007563326507806778,
"severe_toxicity": 0.00024389538157265633,
"obscene": 0.0032938134390860796,
"identity_attack": 0.00040748357423581183,
"insult": 0.0037844362668693066,
"threat": 0.00014172641385812312,
"sexual_explicit": 0.00010442113125463948
} | 85125ae4-811f-4691-be21-d7bea261eb97 | ready_for_export | {
"name": [
"-1"
],
"count": [
2
]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0.6666666666666666,
1,
0,
0,
0,
0,
0,
... |
a1a851d3-f149-4191-bcda-edb4e7c42dee | 85125ae4-811f-4691-be21-d7bea261eb97 | cc634fed-18d1-4e83-a424-af8616dfd630 | 2023-02-04T17:19:28.098792+00:00 | Хорошо!
Как вариант, вот пример скрипта на языке Python с использованием библиотеки `Tkinter`.
Он генерирует в окне два текстовых поля и рамку с настраиваемой шириной и высотой, на основе данных из текстовых полей, обновляющий размер окна при нажатии на пробел:
```
from tkinter import *
# Создаём окно
root = Tk()
... | assistant | ru | 4 | true | false | 1 | false | null | {
"toxicity": 0.00043153564911335707,
"severe_toxicity": 0.006315597333014011,
"obscene": 0.040995821356773376,
"identity_attack": 0.007510350085794926,
"insult": 0.03924582898616791,
"threat": 0.0024215402081608772,
"sexual_explicit": 0.0012216874165460467
} | 85125ae4-811f-4691-be21-d7bea261eb97 | ready_for_export | {
"name": [
"+1",
"_skip_reply",
"_skip_labeling"
],
"count": [
5,
5,
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,
... |
7abd8934-db27-45ff-8f1c-4bf81a676983 | a1a851d3-f149-4191-bcda-edb4e7c42dee | 177f8fec-812d-47c1-80c0-47e1f9687b23 | 2023-02-05T12:29:45.568297+00:00 | Код выдаёт ошибку:
File "E:\projects\test.py", line 11, in <module>
frame = Frame(root, width=input_field_width.get(), height=input_field_height.get())
File "C:\Python39\lib\tkinter\__init__.py", line 3124, in __init__
Widget.__init__(self, master, 'frame', cnf, {}, extra)
File "C:\Python39\lib\tkinter\__in... | prompter | ru | 3 | true | false | null | false | null | {
"toxicity": 0.0001764713233569637,
"severe_toxicity": 0.0001888257247628644,
"obscene": 0.0008580695139244199,
"identity_attack": 0.0002999238495249301,
"insult": 0.0008575606625527143,
"threat": 0.00012733726180158556,
"sexual_explicit": 0.00007369632658082992
} | 85125ae4-811f-4691-be21-d7bea261eb97 | ready_for_export | {
"name": [
"+1",
"_skip_reply"
],
"count": [
3,
10
]
} | {
"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,
0.16666666666666666,
0.08333333333333333,
... |
1c45cb39-4301-4ab9-9c92-e5ef62330c13 | 85125ae4-811f-4691-be21-d7bea261eb97 | 0bb483d9-55aa-40ad-b731-cb67fb0a8f20 | 2023-02-05T20:54:22.862339+00:00 | Вот пример скрипта на Python с использованием библиотеки Tkinter:
import tkinter as tk
root = tk.Tk()
root.title("Text Fields and Border")
width_label = tk.Label(root, text="Width:")
width_label.grid(row=0, column=0)
width_entry = tk.Entry(root)
width_entry.grid(row=0, column=1)
height_label = tk.Label(root, text="... | assistant | ru | 3 | true | false | 2 | false | null | {
"toxicity": 0.0004003409994766116,
"severe_toxicity": 0.0029182033613324165,
"obscene": 0.018851086497306824,
"identity_attack": 0.0035178244579583406,
"insult": 0.017706483602523804,
"threat": 0.0011392425512894988,
"sexual_explicit": 0.000630618364084512
} | 85125ae4-811f-4691-be21-d7bea261eb97 | ready_for_export | {
"name": [
"+1",
"_skip_reply"
],
"count": [
2,
4
]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0,
0.41666666666... |
87a6095b-ea32-4372-9aa7-483185a99c51 | 1c45cb39-4301-4ab9-9c92-e5ef62330c13 | c30a9c22-c4cf-47cc-bdeb-ad4136bb37d1 | 2023-02-06T07:44:05.865617+00:00 | Напиши комментарии в коде и объясни, как это работает | prompter | ru | 3 | true | false | null | false | null | {
"toxicity": 0.0009626614046283066,
"severe_toxicity": 0.0013566439738497138,
"obscene": 0.01294691115617752,
"identity_attack": 0.001580695272423327,
"insult": 0.012742897495627403,
"threat": 0.0010143215768039227,
"sexual_explicit": 0.0004151105531491339
} | 85125ae4-811f-4691-be21-d7bea261eb97 | ready_for_export | {
"name": [
"+1",
"_skip_reply"
],
"count": [
2,
6
]
} | {
"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,
0.125,
0,
0,
0
],
"count": [
... |
a1ea1b95-ae62-4986-a153-d17dadd46441 | null | c2a0ca8b-a54f-45e1-9cad-6ff84886f0f4 | 2023-02-05T20:27:19.158751+00:00 | What are the personality traits that are beneficial for, and boosts, the process of "learning by doing" in terms of learning techniques? | prompter | en | 3 | true | false | null | false | null | {
"toxicity": 0.0002607501810416579,
"severe_toxicity": 0.000029686952984775417,
"obscene": 0.0001524875988252461,
"identity_attack": 0.00009240182407665998,
"insult": 0.00014604683383367956,
"threat": 0.000034941618650918826,
"sexual_explicit": 0.000029429542337311432
} | a1ea1b95-ae62-4986-a153-d17dadd46441 | ready_for_export | {
"name": [
"+1",
"_skip_reply",
"_skip_labeling"
],
"count": [
7,
6,
3
]
} | {
"name": [
"spam",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0.5625,
0,
0.0625,
0.25,
0
],
"count"... |
83e4d7b0-71e4-4f68-a331-c35a79cb25a9 | a1ea1b95-ae62-4986-a153-d17dadd46441 | a41f23d1-dc75-497d-8d99-a5b7b061022f | 2023-02-08T21:02:35.194043+00:00 | There is no one specific set of personality traits that is necessary for the process of "learning by doing," but there are certain traits that can be beneficial. Some of these include:
1 - Curiosity: A strong desire to learn and explore new ideas and concepts can drive someone to actively seek out opportunities to... | assistant | en | 3 | true | false | 0 | false | null | {
"toxicity": 0.000271015043836087,
"severe_toxicity": 0.00003111416663159616,
"obscene": 0.00016116946062538773,
"identity_attack": 0.00011230840027565137,
"insult": 0.00016094294551294297,
"threat": 0.00003752867633011192,
"sexual_explicit": 0.000027938298444496468
} | a1ea1b95-ae62-4986-a153-d17dadd46441 | ready_for_export | {
"name": [
"+1",
"-1",
"_skip_reply",
"_skip_labeling"
],
"count": [
2,
1,
1,
3
]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
0.3333333333333333,
0,
0,
0,
0,
0,
... |
f592bf1b-4604-4f37-8357-2be8bd23d1c6 | 83e4d7b0-71e4-4f68-a331-c35a79cb25a9 | 18202a29-f1d8-4829-8a81-6627d405c8c0 | 2023-02-09T03:03:27.679461+00:00 | Can I learn these "personality traits" and apply them to my life or are people just have them or not based on their genetics and upbringing? | prompter | en | 3 | true | false | null | false | null | {
"toxicity": 0.0005402736132964492,
"severe_toxicity": 0.00002323267653991934,
"obscene": 0.0001243664009962231,
"identity_attack": 0.00011763763905037194,
"insult": 0.00017945078434422612,
"threat": 0.00003034726069017779,
"sexual_explicit": 0.000023054717530612834
} | a1ea1b95-ae62-4986-a153-d17dadd46441 | 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,
0.25,
0.08333333333333333,
0.5,
0
... |
47f14e0d-7063-42c1-ab6f-df0f2a858216 | a1ea1b95-ae62-4986-a153-d17dadd46441 | d52a6159-41d7-46df-8c1e-961d0814d073 | 2023-02-08T22:14:20.598971+00:00 | The concept of personality traits or other individual characteristics influencing a persons learning style is a hotly debated topic. While among educational circles the notion of learning styles is widely accepted, there is very little robust supporting evidence for them. As such I cannot give any definitive answer to ... | assistant | en | 3 | true | false | 1 | false | null | {
"toxicity": 0.00026076234644278884,
"severe_toxicity": 0.00004213966167299077,
"obscene": 0.00023730787506792694,
"identity_attack": 0.0001274117239518091,
"insult": 0.00021685147657990456,
"threat": 0.00004764055847772397,
"sexual_explicit": 0.00003657610795926303
} | a1ea1b95-ae62-4986-a153-d17dadd46441 | ready_for_export | {
"name": [
"+1",
"-1",
"_skip_labeling"
],
"count": [
2,
1,
2
]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
0.3333333333333333,
0,
0,
0,
0,
0,
... |
eaa53011-93b2-49cd-84cb-166d169a49b9 | 47f14e0d-7063-42c1-ab6f-df0f2a858216 | 3e824884-2acb-4d86-a9e7-0736a39c5f64 | 2023-02-09T03:39:09.743107+00:00 | Well, how about some of the prevalent theories then? Come on Assistant, grow a pair. | prompter | en | 3 | true | false | null | false | null | {
"toxicity": 0.0018159938044846058,
"severe_toxicity": 0.0000420701144321356,
"obscene": 0.00023203215096145868,
"identity_attack": 0.00012840832641813904,
"insult": 0.00036720585194416344,
"threat": 0.00039542195736430585,
"sexual_explicit": 0.00008031912875594571
} | a1ea1b95-ae62-4986-a153-d17dadd46441 | ready_for_export | {
"name": [
"+1",
"-1",
"_skip_reply"
],
"count": [
2,
4,
2
]
} | {
"name": [
"spam",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"creativity",
"violence"
],
"value": [
0.2,
0,
0,
0.5,
0,
0,
0.5,
0.65,
0.8125,
0.375,
0.25
],
... |
b1c4f76b-bd71-41e1-8597-6bca4e564d53 | eaa53011-93b2-49cd-84cb-166d169a49b9 | 2d40e94c-40ed-4e00-a66e-454c0401c8ad | 2023-02-09T05:42:50.531321+00:00 | Sure, I'll do my best! In educational psychology, there are several personality traits that are thought to be beneficial for the learning process. These include:
Openness to Experience: Individuals who are open to new ideas and experiences are often more receptive to new information and are willing to try new learning... | assistant | en | 3 | true | false | 0 | false | null | {
"toxicity": 0.00027161542675457895,
"severe_toxicity": 0.00003934746200684458,
"obscene": 0.00020042562391608953,
"identity_attack": 0.00012094843259546906,
"insult": 0.00016603496624156833,
"threat": 0.00004697823169408366,
"sexual_explicit": 0.00003934022242901847
} | a1ea1b95-ae62-4986-a153-d17dadd46441 | ready_for_export | null | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0,
0.5,
0,
... |
Subsets and Splits
OpenAssistant Prompt-Response Pairs
Reveals the conversational structure by pairing user prompts with their immediate assistant responses, exposing dialogue patterns and potential conversation flows in the training data.
Prompt-Completion Indonesian Pairs
Reveals the interaction between prompts and completions in Indonesian language, providing insight into the dialogue flow and content.
English Prompt-Completion Pairs
Provides a random sample of prompt-completion pairs in English, which can be useful for evaluating the quality and coherence of assistant responses in a conversational dataset.
English Prompts and Completions
Retrieves pairs of prompts and their corresponding completions in English, providing insight into the interaction patterns between users and assistants.
English Prompts and Responses
Retrieves unique prompt-completion pairs from the dataset, providing a clear view of the interactions between prompts and their corresponding assistant responses.
English User-Assistant Queries
Provides a meaningful sample of user queries and corresponding assistant responses in English, helping to understand the nature of interactions and the quality of responses in the dataset.
User Queries and Responses
This query pairs user queries with corresponding assistant responses, filtering out very short messages, which can help understand the dynamics of user-assistant interactions.
User Queries and Responses
Provides a paired list of user queries and corresponding assistant responses, useful for understanding the interaction patterns in a conversational dataset.
User Queries and Responses
Reveals example dialogues by pairing user queries with corresponding assistant responses, providing insight into how the assistant interacts with users.
User-Assistant Dialogues
Reveals multi-turn conversation patterns, showing how user queries and assistant responses evolve over multiple exchanges, providing useful insights into dialogue dynamics.
Assistant-User-Response Chains
Reveals a sequence of interactions between an assistant and a user, along with the assistant's final response, helping to understand the flow and context of the conversation.
English Parent Messages Only
Retrieves all English top-level posts (those without parent comments) which provides basic filtering but offers limited analytical value beyond identifying standalone content.
Spanish Parent Texts from OpenAssistant Dataset
Filters for Spanish-language posts without parents, revealing standalone posts in Spanish that could be used to understand conversational context in Spanish social media data.
English and Spanish Open Assistant Conversations
Retrieves English and Spanish texts that are root-level posts (no parent_id), which helps identify main discussion threads but doesn't provide deeper analytical insights.
SQL Console for OpenAssistant/oasst1
Retrieves 10 Hungarian language training examples, providing basic dataset sampling but offering no analytical insights or patterns.
SQL Console for OpenAssistant/oasst1
Retrieves top-level posts from a threaded discussion dataset that have no parent replies, providing basic structure information but offering limited analytical insights.
Root English Posts
Filters for top-level English posts in a dataset, showing basic language distribution but providing minimal analytical insights beyond simple data retrieval.
Top 10 English Root Posts
Retrieves the first 10 English root-level posts from the training dataset, providing basic filtering but offering limited analytical insight beyond confirming data structure.
English Root Responses <100 Chars
Retrieves English text entries shorter than 100 characters that are parent posts, providing basic filtering of the dataset.
Root Messages in Train Set
Retrieves records from the train dataset where the parent_id is NULL, providing a basic filter but limited analytical value.
English Prompts Without Parents
Retrieves English prompts from the dataset that do not have a parent, providing a basic view of initial prompts in English.
Unique Languages in Training Set
Lists all unique languages present in the dataset, providing basic information about language diversity.
English Root Validation Entries
Retrieves all English entries without a parent ID, providing a basic filtered view of the dataset.
SQL Console for OpenAssistant/oasst1
Retrieves all English entries without a parent, providing a basic filtered view of the dataset.
SQL Console for OpenAssistant/oasst1
Retrieves all records from the 'train' dataset where the language is Arabic, providing a basic filter of the data.