message_id stringlengths 36 36 | parent_id stringlengths 36 36 ⌀ | user_id stringlengths 36 36 | created_date stringlengths 32 32 | text stringlengths 1 9.98k | role stringclasses 2
values | lang stringclasses 24
values | review_count int32 0 12 | review_result bool 2
classes | deleted bool 2
classes | rank int32 0 15 ⌀ | synthetic bool 1
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value | emojis dict | labels dict |
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fd291f79-361b-4e28-8e74-7706c80267fc | null | cb96aefd-391d-49e5-acda-e98bc415093f | 2023-02-05T23:50:07.774335+00:00 | give me some fun projects to practice my rust programming skills from easy to hard | prompter | en | 4 | true | false | null | false | null | {
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} | fd291f79-361b-4e28-8e74-7706c80267fc | ready_for_export | {
"name": [
"+1",
"_skip_reply",
"_skip_ranking"
],
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12,
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]
} | {
"name": [
"spam",
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5e484e43-b983-4c9d-bad3-e5566f060715 | fd291f79-361b-4e28-8e74-7706c80267fc | ee88c386-5ecd-4aa0-8e18-551df73b4794 | 2023-02-06T18:59:51.130859+00:00 | Here are some fun projects to practice your Rust programming skills, ranging from easy to hard:
1. Hello World: Start with the classic "Hello World" program. Get a feel for how to write, compile, and run a Rust program.
2. Command-Line Calculator: Create a simple command-line calculator that can perform addition, subtr... | assistant | en | 3 | true | false | 0 | false | null | {
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} | fd291f79-361b-4e28-8e74-7706c80267fc | ready_for_export | {
"name": [
"+1"
],
"count": [
2
]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
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6635b32c-2e61-422d-8b03-f2cca142a2f7 | 5e484e43-b983-4c9d-bad3-e5566f060715 | aec62fe3-61ca-4c33-a4f2-b5a21dea949f | 2023-02-06T20:41:22.833721+00:00 | Here are some fun projects to practice your Rust programming skills, ranging from easy to hard:
1. Hello World: Start with the classic "Hello World" program. Get a feel for how to write, compile, and run a Rust program.
2. Command-Line Calculator: Create a simple command-line calculator that can perform addition, subt... | prompter | en | 3 | true | false | null | false | null | {
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} | fd291f79-361b-4e28-8e74-7706c80267fc | ready_for_export | {
"name": [
"-1",
"_skip_reply",
"_skip_labeling"
],
"count": [
2,
1,
1
]
} | {
"name": [
"spam",
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87c6ade0-cd1e-4590-880b-886c5ce14d7c | 6635b32c-2e61-422d-8b03-f2cca142a2f7 | 37479105-902e-4e06-b261-4e5c0232a834 | 2023-02-07T00:16:31.182254+00:00 | Indeed! Is there any thing else you are interested in? So that I can recommend some new ideas about your new project | assistant | en | 3 | true | false | null | false | null | {
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"-1",
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],
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1,
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} | {
"name": [
"spam",
"fails_task",
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789256ce-507c-44b3-a974-693af91aab96 | 5e484e43-b983-4c9d-bad3-e5566f060715 | 6e134120-8a14-4ae0-8345-954fb6fbe158 | 2023-02-06T20:38:32.489034+00:00 | Can you give me a list of Rust libraries that would help me with #8? | prompter | en | 3 | true | false | null | false | null | {
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} | fd291f79-361b-4e28-8e74-7706c80267fc | ready_for_export | {
"name": [
"_skip_reply"
],
"count": [
1
]
} | {
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"spam",
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"pii",
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b68671d7-0723-4ae2-b3c6-dc47158a34bf | fd291f79-361b-4e28-8e74-7706c80267fc | 2c96e467-66f0-4be7-9693-bda51356a424 | 2023-02-06T19:14:23.988938+00:00 | Guess the Number - Classic beginner project, generate a random number and have the user guess it.
Calculator - Basic calculator app to practice using expressions and arithmetic.
Text Editor - Build a simple text editor to handle basic formatting and saving/loading files.
Snake Game - Implement the classic snake game, g... | assistant | en | 3 | true | false | 1 | false | null | {
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} | fd291f79-361b-4e28-8e74-7706c80267fc | ready_for_export | {
"name": [
"+1"
],
"count": [
5
]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
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4ae70993-0e1c-453a-93d7-23a49637d8d8 | b68671d7-0723-4ae2-b3c6-dc47158a34bf | ef8ea553-5952-4565-bd13-a8382e2448d1 | 2023-02-06T20:19:53.059202+00:00 | Alright. But could you please give me some starter code for a snake game written in Rust? | prompter | en | 3 | true | false | null | false | null | {
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} | fd291f79-361b-4e28-8e74-7706c80267fc | ready_for_export | {
"name": [
"+1",
"_skip_reply",
"_skip_ranking",
"_skip_labeling"
],
"count": [
4,
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7,
1
]
} | {
"name": [
"spam",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
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6e73cb61-3304-4081-b102-d3ab16db7a39 | 4ae70993-0e1c-453a-93d7-23a49637d8d8 | caaddd8b-6f76-4458-85a9-a95373f58a35 | 2023-02-06T23:03:39.378623+00:00 | Here's some starter code for a snake game written in Rust:
```
use std::thread;
use std::time::Duration;
use termion::clear;
use termion::cursor;
use termion::raw::IntoRawMode;
struct Snake {
x: i32,
y: i32,
}
impl Snake {
fn new() -> Self {
Snake { x: 0, y: 0 }
}
fn move_left(&mut self)... | assistant | en | 3 | true | false | 0 | false | null | {
"toxicity": 0.00016616200446151197,
"severe_toxicity": 0.00014549224579241127,
"obscene": 0.000851743679959327,
"identity_attack": 0.0002283871144754812,
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"threat": 0.0000903564432519488,
"sexual_explicit": 0.00008606907067587599
} | fd291f79-361b-4e28-8e74-7706c80267fc | 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,
0.3333333333333333,
0,
0,
0,
0,
0,
... |
cba9f8a0-61c7-4a1f-99bf-f94cbfdb91ad | 4ae70993-0e1c-453a-93d7-23a49637d8d8 | 95f63ab3-6c7b-43e1-8e86-fccd8be1465f | 2023-02-06T22:31:39.631942+00:00 | Sure! Here's some basic starter code for a snake game in Rust:
use std::thread;
use std::time::Duration;
enum Direction {
Up,
Down,
Left,
Right,
}
struct Snake {
x: i32,
y: i32,
direction: Direction,
}
impl Snake {
fn new() -> Snake {
Snake {
x: 0,
y: ... | assistant | en | 3 | true | false | 1 | false | null | {
"toxicity": 0.00021279438806232065,
"severe_toxicity": 0.00006980170292081311,
"obscene": 0.0004112378228455782,
"identity_attack": 0.00016530817083548754,
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"sexual_explicit": 0.000046148379624355584
} | fd291f79-361b-4e28-8e74-7706c80267fc | ready_for_export | {
"name": [
"+1",
"_skip_labeling"
],
"count": [
1,
2
]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
0,
0,
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0.66666666666... |
819b590c-a53b-4b8c-a0af-4c5668da407f | 4ae70993-0e1c-453a-93d7-23a49637d8d8 | 87c92272-7349-4c38-b4e5-939504d29aca | 2023-02-06T23:06:35.647515+00:00 | Certainly! Here is some starter code you can use to write a snake game in Rust
```
use std::io;
const WIDTH: i32 = 20;
const HEIGHT: i32 = 20;
#[derive(Clone, Copy, Debug, PartialEq)]
struct Point {
x: i32,
y: i32,
}
#[derive(Clone, Copy, Debug, PartialEq)]
enum Direction {
Up,
Down,
Left,
Ri... | assistant | en | 3 | true | false | 2 | false | null | {
"toxicity": 0.0003072329855058342,
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"sexual_explicit": 0.00011082687706220895
} | fd291f79-361b-4e28-8e74-7706c80267fc | ready_for_export | null | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
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],
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3de6977d-ee0c-405b-b135-f6719b4d04b1 | fd291f79-361b-4e28-8e74-7706c80267fc | d6b6bb98-8892-4f06-a1ff-6f76829f0320 | 2023-02-06T18:47:47.090835+00:00 | Project ideas:
* Calculator
* Gameboy emulator
* Operating system from scratch | assistant | en | 3 | true | false | 2 | false | null | {
"toxicity": 0.0002999321441166103,
"severe_toxicity": 0.00331863877363503,
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"insult": 0.017047850415110588,
"threat": 0.001519639976322651,
"sexual_explicit": 0.0008244122727774084
} | fd291f79-361b-4e28-8e74-7706c80267fc | ready_for_export | {
"name": [
"-1",
"_skip_labeling"
],
"count": [
1,
1
]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
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"creativity",
"violence"
],
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0,
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da6c5c78-71a0-4c25-af98-c1ac5c303fab | 3de6977d-ee0c-405b-b135-f6719b4d04b1 | 9bc32c09-be0f-4bc3-ac21-4dc059da2b89 | 2023-02-06T21:22:11.090072+00:00 | That looks a little too casual for me. Could you please try again with more niche projects? | prompter | en | 3 | true | false | null | false | null | {
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"sexual_explicit": 0.000021541674868785776
} | fd291f79-361b-4e28-8e74-7706c80267fc | ready_for_export | {
"name": [
"_skip_labeling"
],
"count": [
1
]
} | {
"name": [
"spam",
"lang_mismatch",
"pii",
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3,... |
2d74d0c3-987a-492f-a116-0b80c4eb0f2f | null | 9b702ecd-b70a-4375-856f-c3dee26a55c5 | 2023-02-05T17:21:37.348148+00:00 | Given infinite compute resources; can a traditional feed-forward neural network model a human brain? | prompter | en | 3 | true | false | null | false | null | {
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} | 2d74d0c3-987a-492f-a116-0b80c4eb0f2f | ready_for_export | {
"name": [
"+1",
"_skip_reply"
],
"count": [
11,
3
]
} | {
"name": [
"spam",
"lang_mismatch",
"pii",
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"sexual_content",
"quality",
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2b8f8f7b-f0e6-447f-8533-796dc979a505 | 2d74d0c3-987a-492f-a116-0b80c4eb0f2f | 1d3fb72a-df43-4a04-81df-9e6ac117eb50 | 2023-02-22T10:55:35.688338+00:00 | The human brain is a highly complex and sophisticated organ that scientists are still trying to fully understand. While feed-forward neural networks have proven to be highly effective in many domains, it is unlikely that a traditional feed-forward neural network, even with infinite compute resources, would be able to f... | assistant | en | 3 | true | false | 0 | false | null | {
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} | 2d74d0c3-987a-492f-a116-0b80c4eb0f2f | ready_for_export | {
"name": [
"+1"
],
"count": [
8
]
} | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
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"quality",
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"violence"
],
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e26c9b76-a738-4d7b-8ee3-e63f5fcbda41 | 2b8f8f7b-f0e6-447f-8533-796dc979a505 | f59d5f49-5a76-4b3e-a162-0ec3ce8eb73b | 2023-02-22T14:22:34.958901+00:00 | Are there any different types of neutral network's that can model a human brain? | prompter | en | 3 | true | false | null | false | null | {
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"severe_toxicity": 0.000010849887985386886,
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} | 2d74d0c3-987a-492f-a116-0b80c4eb0f2f | ready_for_export | {
"name": [
"+1",
"_skip_reply"
],
"count": [
5,
15
]
} | {
"name": [
"spam",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
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0.25,
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5f8a3c6b-8afb-465d-ad24-f72b2ba1bf15 | e26c9b76-a738-4d7b-8ee3-e63f5fcbda41 | faa07ea2-76de-4362-a97a-bd0939d02d87 | 2023-02-22T22:44:50.774540+00:00 | There are various types of neural networks that have been proposed to model different aspects of the human brain. For example, recurrent neural networks (RNNs) can capture the temporal dynamics of sequences of inputs, and have been used to model language processing and speech recognition. Convolutional neural networks ... | assistant | en | 3 | true | false | 0 | false | null | {
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} | 2d74d0c3-987a-492f-a116-0b80c4eb0f2f | ready_for_export | {
"name": [
"+1",
"-1",
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],
"count": [
1,
1,
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]
} | {
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Feedforward artificial neural networks.
Perceptron and Multilayer Perceptron neural networks.
Radial basis functions artificial neural networks.
Recurrent neural networks.
Modular neural networks. | assistant | en | 3 | true | false | 2 | false | null | {
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The human brain is an incredibly complex biological system that operates through a range of mechanisms and processes that are not fully understood.
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including neuroscience, biology, and computer science.
One promising approach is the development of neuromorphic computing, which is a type of computer architecture that is designed to
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* I am a language model that approximates human ... | assistant | en | 3 | true | false | 1 | false | null | {
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78fe300b-2dbc-448b-833e-0c6a9cf90bd2 | fc689fea-baa1-4ee4-912e-b77eedf05eca | cb5a4d83-0abb-46b6-b406-08c68e3f54d4 | 2023-02-22T20:44:52.788681+00:00 | Although the brain is indeed made of organic compounds, consciousness is more complicated than that, don't you think? | prompter | en | 3 | true | false | null | false | null | {
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68bc8e70-e748-4c00-8a37-8af628aaf30e | null | 682177e3-c3c3-4786-af59-f933f21a7bff | 2023-02-06T11:28:19.546401+00:00 | how to improve my powerpoint skill | prompter | zh | 3 | true | false | null | false | null | null | 68bc8e70-e748-4c00-8a37-8af628aaf30e | ready_for_export | {
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ac4f0722-522d-4bd5-82b6-c7ce66c56bc4 | 68bc8e70-e748-4c00-8a37-8af628aaf30e | ed678ac6-0d72-427f-b75a-bc619361589a | 2023-02-10T02:56:00.028347+00:00 | Improving your PowerPoint skills can be a great way to create more effective and engaging presentations. Here are some tips that you can follow to improve your skills:
Know your audience: Before you start creating your presentation, consider your audience's needs, preferences, and expectations. This will help you crea... | assistant | zh | 3 | true | false | 0 | false | null | null | 68bc8e70-e748-4c00-8a37-8af628aaf30e | ready_for_export | {
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9a5d775f-9530-4b7b-bc24-f21a619c84c3 | 68bc8e70-e748-4c00-8a37-8af628aaf30e | 453a21ed-163e-4bc6-8d3a-e558757539a1 | 2023-02-20T12:33:52.568551+00:00 | 以下是有关如何提高 PowerPoint 技能的一些提示：
使用模板：利用模板为您的演示文稿创建具有凝聚力的外观。 这也将节省您的时间，因为您不必从头开始创建设计。
使用视觉效果：结合图像、图表和视频等视觉效果来增强您的演示文稿并使其对您的观众更具吸引力。
保持简单：避免在幻灯片上使用过多的文字，并使用项目符号来分解信息。 这将帮助您的听众专注于您的信息并避免信息过载。
练习您的演讲：事先排练您的演讲以确保演讲顺利进行。 这将帮助您对内容更加熟悉，并提高您对演示的信心。
使用幻灯片切换和动画：结合幻灯片切换和动画可以增加演示文稿的视觉趣味性，但要谨慎使用，以免分散您的信息。
... | assistant | zh | 3 | true | false | 1 | false | null | null | 68bc8e70-e748-4c00-8a37-8af628aaf30e | ready_for_export | {
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3c854c49-5a52-4ad0-84a3-6437c654fa6b | 68bc8e70-e748-4c00-8a37-8af628aaf30e | d4a2172f-7237-48b7-90a9-25e4852a7546 | 2023-02-13T16:51:37.931861+00:00 | Here are some tips to improve your PowerPoint skills:
1. Familiarize yourself with the tools and features of PowerPoint: Take the time to learn about the different tools and features of PowerPoint and how you can use them to create professional and engaging presentations.
2. Use templates: Templates can help you crea... | assistant | zh | 3 | false | false | null | false | null | null | 68bc8e70-e748-4c00-8a37-8af628aaf30e | ready_for_export | {
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45142493-182e-4cb1-b725-d7fdc8d49ccc | 68bc8e70-e748-4c00-8a37-8af628aaf30e | 23026a42-198a-4ca9-8277-a628824dddd4 | 2023-02-18T08:03:58.917583+00:00 | 首先学习如何表达，可以去找一些在线课程
其次可以到一些幻灯片模板网站观摩学习
最后也是最重要的——多实战多展示多倾听建议 | assistant | zh | 3 | false | false | null | false | null | null | 68bc8e70-e748-4c00-8a37-8af628aaf30e | ready_for_export | {
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761c605e-a48b-4663-b25c-a387a92e9ffd | 68bc8e70-e748-4c00-8a37-8af628aaf30e | 9184b229-8ab8-4d77-9e4d-21c9ace78869 | 2023-02-17T09:23:22.190910+00:00 | 1. Create or Select a Theme Grabbing the audience's attention starts with focusing on the points that you want to show on your presentation. ...
2. Use Audio and Video ...
3. Use Charts, Graphics and Animation ...
4. Utilize Slide Masters and Layouts ...
5. Differentiate Print and On-Screen Presentations ... | assistant | zh | 3 | false | false | null | false | null | null | 68bc8e70-e748-4c00-8a37-8af628aaf30e | ready_for_export | null | {
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8b637021-bce1-4aa8-88a6-5e03df5ea8da | null | 21812df4-68f2-465d-a4e3-31b88c1ade71 | 2023-02-06T00:20:25.476200+00:00 | How is cheese made? | prompter | en | 3 | true | false | null | false | null | {
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17b33fff-fc0f-4771-bf8f-ca8ca31b98b8 | 8b637021-bce1-4aa8-88a6-5e03df5ea8da | 85601ad4-56a0-4b44-a8ab-baffd2b98915 | 2023-02-09T08:13:10.397978+00:00 | Cheese is made from milk, usually from cows, but also from goats, sheep, and buffalo. The process of making cheese involves several steps:
Coagulation: Milk is coagulated, or curdled, to separate the solid curds from the liquid whey. This is typically achieved by adding an enzyme, such as rennet, to the milk.
Cutting... | assistant | en | 3 | true | false | 0 | false | null | {
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e1e2f45a-4572-4cbb-9141-d0f993188c39 | 8b637021-bce1-4aa8-88a6-5e03df5ea8da | d7211cd2-2308-42ba-b18a-0b1ca5f23fa0 | 2023-02-09T06:40:33.548355+00:00 | Cheese is a dairy product that is made from the milk of cows, goats, sheep, or other mammals. The process of making cheese typically involves the following steps:
Collecting and treating the milk: The milk is collected and then treated with bacteria and rennet (an enzyme that helps coagulate the milk). The type of bac... | assistant | en | 3 | true | false | 1 | false | null | {
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f1398ead-8e3a-42c9-b077-79dc13ff147f | e1e2f45a-4572-4cbb-9141-d0f993188c39 | feda63ac-8f9f-45ba-b25f-09d55b1b8255 | 2023-02-09T12:48:02.571455+00:00 | What is the difference between cheese and cream? Can cheese be made from cream? | prompter | en | 3 | true | false | null | false | null | {
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f704f102-ad51-49db-9b37-7eda36acd165 | 8b637021-bce1-4aa8-88a6-5e03df5ea8da | 5bb6abed-1304-498c-9955-783af67d0464 | 2023-02-09T06:44:56.278328+00:00 | Cheese is made through a process called curdling, which involves separating the solids (curds) from the liquids (whey) in milk. This can be done through the addition of bacteria and/or rennet, an enzyme derived from the stomachs of ruminant animals.
Here's a basic overview of the process of making cheese:
Milk Prepar... | assistant | en | 3 | true | false | 2 | false | null | {
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162ba9a0-8c06-4150-8323-fea608ffa0ab | null | b47ecb96-791c-42e2-8749-fe222766aba4 | 2023-02-05T14:36:43.575107+00:00 | using python use the following dataset: "df_vra = pd.read_csv('externos.csv', sep=';')" and loop through each row and get the value of the columns "RUT", "DV", and "Names" | prompter | en | 3 | true | false | null | false | null | {
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1785e12b-caec-4fef-adbf-6a6ddca77623 | 162ba9a0-8c06-4150-8323-fea608ffa0ab | 58bd36e9-ae82-4b86-8077-03ab11767f6b | 2023-02-11T01:55:25.274131+00:00 | You shouldn't use a for loop in this instance. Pandas has a built in method to get a subset of the columns in a dataframe. You give a list of the column names you want as an index like so:
columns = [ "RUT", "DV", "Names"]
df_vra[columns]
Should return what you want. | assistant | en | 3 | true | false | 0 | false | null | {
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cefc09b4-7e2c-49ec-888c-455d94a9e80c | 1785e12b-caec-4fef-adbf-6a6ddca77623 | 81a77030-5029-4900-9d69-4b2f0db7d676 | 2023-02-11T18:59:53.126243+00:00 | Interesting. Why did you assume I use pandas? I mean you are not wrong, but I am still wondering. | prompter | en | 3 | true | false | null | false | null | {
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cb502983-963d-495c-9f70-cfbf56f5c979 | cefc09b4-7e2c-49ec-888c-455d94a9e80c | 6fa211ca-e35e-45aa-ab56-974b1363e7f6 | 2023-02-11T22:48:14.517579+00:00 | Pandas is commonly imported as such: "import pandas as pd". Pandas provides the read_csv method in order to read a comma-separated values file into DataFrame. Thus, I concluded that your instruction "df_vra = pd.read_csv('externos.csv', sep=';')" implies that you are using the Pandas library. | assistant | en | 3 | true | false | 0 | false | null | {
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d04f4c94-c4b6-4f33-821f-6d88b5fffe0d | cefc09b4-7e2c-49ec-888c-455d94a9e80c | f931be3f-6315-4e3a-8b9d-defd4cfea818 | 2023-02-11T22:40:20.194436+00:00 | My apologies, I assumed you were using Pandas because in the Python data science community, it is common to use the alias `pd` when importing Pandas. The function `read_csv` is also a method for reading csv files in Pandas. If you are not using Pandas and the data is stored in a different format, let me know and I can ... | assistant | en | 3 | true | false | 1 | false | null | {
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902d1fb4-58c9-4e98-b47e-fc23967a9468 | 162ba9a0-8c06-4150-8323-fea608ffa0ab | 0be7fae6-101e-4f37-a4ea-94605b507b8e | 2023-02-11T02:50:14.254507+00:00 | Here is an example of how you can use the pandas library in Python to read the externos.csv dataset, loop through each row, and extract the values of the columns "RUT", "DV", and "Names":
import pandas as pd
# Read the externos.csv file into a Pandas DataFrame
df_vra = pd.read_csv('externos.csv', sep=';')
# Loop thr... | assistant | en | 3 | true | false | 1 | false | null | {
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"obscene": 0.0002723669458646327,
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"insult": 0.0002655969583429396,
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} | 162ba9a0-8c06-4150-8323-fea608ffa0ab | ready_for_export | {
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"name": [
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"sexual_content",
"quality",
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88520ae5-b53b-4abe-af64-299832cddecf | 902d1fb4-58c9-4e98-b47e-fc23967a9468 | cdc960be-15d6-4538-85da-cb445619b2f0 | 2023-02-11T14:50:34.287656+00:00 | Can you modify the code above to save the extracted data in a dictionary and save it as a json file? | prompter | en | 3 | true | false | null | false | null | {
"toxicity": 0.0005380327929742634,
"severe_toxicity": 0.000024850029149092734,
"obscene": 0.00009696966299088672,
"identity_attack": 0.00015304156113415956,
"insult": 0.00015565860667265952,
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... |
7b3ab85b-5de3-42bf-933f-b4ef2b0cd6f5 | 88520ae5-b53b-4abe-af64-299832cddecf | 7de84fb1-4cf5-4142-989d-f490fc526bfd | 2023-02-11T23:06:44.533595+00:00 | I'm glad to do this. Here we go:
```python
import pandas as pd
import json
# Load the externos.csv file into a Pandas DataFrame
df_vra = pd.read_csv('externos.csv', separator=';')
# Create an empty dictionary to store the extracted information
data = {}
# Iterate through each row in the DataFrame
for index, row in ... | assistant | en | 3 | true | false | 0 | false | null | {
"toxicity": 0.000347699475241825,
"severe_toxicity": 0.000049066355131799355,
"obscene": 0.00020390021381899714,
"identity_attack": 0.00022020077449269593,
"insult": 0.00024892095825634897,
"threat": 0.000054227897635428235,
"sexual_explicit": 0.00003154721707687713
} | 162ba9a0-8c06-4150-8323-fea608ffa0ab | ready_for_export | {
"name": [
"+1"
],
"count": [
2
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} | {
"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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7a7619ea-73bb-4f9f-b5b3-c64ce3ef8bfd | 88520ae5-b53b-4abe-af64-299832cddecf | 288ac87a-1414-4f60-9f5c-bafec7d49358 | 2023-02-11T22:29:31.432546+00:00 | Here's the modified code that saves the extracted data in a dictionary and saves it as a JSON file:
import pandas as pd
import json
Read the externos.csv file into a Pandas DataFrame
df_vra = pd.read_csv('externos.csv', sep=';')
Create an empty dictionary to store the extracted data
data = {}
Loop through each ro... | assistant | en | 3 | true | false | 1 | false | null | {
"toxicity": 0.00027428724570199847,
"severe_toxicity": 0.00005439591041067615,
"obscene": 0.00021171853586565703,
"identity_attack": 0.0001926221593748778,
"insult": 0.00021350021415855736,
"threat": 0.000059108013374498114,
"sexual_explicit": 0.00003778374593821354
} | 162ba9a0-8c06-4150-8323-fea608ffa0ab | ready_for_export | null | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
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0,
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8813ab88-9628-4ebb-897b-754c10bc62d3 | 162ba9a0-8c06-4150-8323-fea608ffa0ab | 2d40e94c-40ed-4e00-a66e-454c0401c8ad | 2023-02-11T03:02:59.256770+00:00 | Here's an example of how to loop through each row in the dataframe df_vra and extract the values of the columns "RUT", "DV", and "Names":
import pandas as pd
# Read the CSV file into a dataframe
df_vra = pd.read_csv('externos.csv', sep=';')
# Loop through each row in the dataframe
for index, row in df_vra.iterrows()... | assistant | en | 3 | true | false | 2 | false | null | {
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} | 162ba9a0-8c06-4150-8323-fea608ffa0ab | ready_for_export | {
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} | {
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a6b2a7e3-88ea-4e29-8f4e-3298993347e9 | 8813ab88-9628-4ebb-897b-754c10bc62d3 | e7b16beb-6af8-46f6-9add-d9a9f204be20 | 2023-02-11T17:39:41.312968+00:00 | Can you explain what pandas is? | prompter | en | 3 | true | false | null | false | null | {
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9bc76e8f-0fc8-41db-93f9-d95e402c1a80 | a6b2a7e3-88ea-4e29-8f4e-3298993347e9 | 9d2ab674-3165-425b-bb28-c7dd665bf277 | 2023-02-12T00:17:01.051253+00:00 | It is a library for scientific data handling in Python. | assistant | en | 3 | true | false | null | false | null | {
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62514b9b-49fb-4c63-9919-70b06a191ed7 | null | be958267-c2f2-4ebc-aa4b-e8e0e1cbe5a7 | 2023-02-05T17:16:36.549700+00:00 | Dis-moi un fait surprenant sur les Lynxes | prompter | fr | 3 | true | false | null | false | null | {
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0efea765-86b9-423b-b1ce-8b52637c4b84 | f56bab79-393e-4812-a113-2d5ca1c4dfb1 | ba5a731c-5560-45f7-b23c-7594b5a17e74 | 2023-02-08T02:20:48.177124+00:00 | Wouah! Quel est l'animal avec le plus grand ratio hauteur de saut versus longueur de corps? | prompter | fr | 3 | true | false | null | false | null | {
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humain ! Une sorte de râle rauque entendu en plusieurs temps. Précisément, il lance quelques cris, s’ensuit une pause, puis il recommence. Ce feulement aide la femelle à savo... | assistant | fr | 3 | true | false | 1 | false | null | {
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4c8f1487-913d-4f81-85de-bc6cfb3ad363 | f6b08565-5094-419a-bbe9-33273660b8b0 | aa01e8bb-b282-4b18-b42f-ca44ce11a801 | 2023-02-09T08:07:00.633089+00:00 | Et maintenant sur le guépard | prompter | fr | 3 | true | false | null | false | null | {
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66192226-d782-48f9-8f09-3b599b624a70 | 4c8f1487-913d-4f81-85de-bc6cfb3ad363 | aa01e8bb-b282-4b18-b42f-ca44ce11a801 | 2023-02-11T13:25:02.184405+00:00 | Beaucoup savent qu'il est l'animal le plus rapide au sprint, atteignant près de 110 km/h mais saviez vous qu'ils naissent avec une crête de poils caractéristiques qu'ils perdent en grandissant ? | assistant | fr | 3 | true | false | 0 | false | null | {
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0336105e-e03a-46f8-9f09-2deafe9eac1b | 4c8f1487-913d-4f81-85de-bc6cfb3ad363 | 20f46383-a562-4fbc-9cd0-2e679d6431fc | 2023-02-11T17:53:11.587879+00:00 | Bien sûr! La page Wikipédia en langue français dédiée aux guépards est moins longue que la page dédiée aux Lynx. C’est stupéfiant! | assistant | fr | 3 | true | false | 1 | false | null | {
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f820be9c-6796-4489-8190-b1e88ddb1486 | 62514b9b-49fb-4c63-9919-70b06a191ed7 | 40c48622-2621-47c5-b516-3f9f708beca2 | 2023-02-08T20:12:12.110800+00:00 | Cela vous surprendra peut-être, mais les lynxes sont réputés avoir une meilleure vision que les taupes. | assistant | fr | 3 | true | false | 2 | false | null | {
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d117c1b2-bcdb-465a-8ff7-3becb5497b1c | f820be9c-6796-4489-8190-b1e88ddb1486 | 6f55f69f-4be1-4f20-819e-7b07da2d9cdb | 2023-02-09T12:35:19.768310+00:00 | Haha bien dit ! Et savait-tu que les taupes ont une bien pire vue que les lynx ? Je parie que tu l'avais pas vue celle-là ! | prompter | fr | 3 | true | false | null | false | null | {
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880742b3-efe1-4377-9e36-a30cb62d9886 | null | ae296945-87b1-44fa-99d1-006897d1b103 | 2023-02-05T01:22:35.451102+00:00 | I need a build order for Starcraft II. Could you provide some suggestions for me if I am:
*Zerg
*Protoss
*Terran
Here are some sources:
https://lotv.spawningtool.com/build/
https://starcraft2coop.com/guides/buildordertheory | prompter | en | 3 | true | false | null | false | null | {
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433c0a5a-f226-4795-99d4-87551007dce6 | 880742b3-efe1-4377-9e36-a30cb62d9886 | 67081375-176b-432a-843a-3605d0d1f251 | 2023-02-05T15:19:37.263237+00:00 | In StarCraft II, build orders are very dependent on the game mode played and the opponent's race. Please clarify the game mode and the opponent's race for which you would like me to suggest you a build order. | assistant | en | 3 | true | false | 0 | false | null | {
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51b53e70-ece4-4caf-8b0a-034a18471f6d | 433c0a5a-f226-4795-99d4-87551007dce6 | 0ef5342b-695b-4ead-9b7b-b15c33d38469 | 2023-02-05T16:06:37.766834+00:00 | I dont know. How i can find out these? | prompter | en | 3 | true | false | null | false | null | {
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09432e00-4f0b-4830-9399-2e0a944c9120 | 880742b3-efe1-4377-9e36-a30cb62d9886 | 37f599ea-ee2d-42dd-bceb-f9f439805044 | 2023-02-05T16:59:52.027549+00:00 | When you are playing Starcraft the build order usually depends not only on the race you are playing but also on the race your opponent is playing. But assuming that you are not experienced in competitive Starcraft I would suggest to use versatile build orders that could be played against any opponent.
Zerg:
Hatchery F... | assistant | en | 3 | true | false | 1 | false | null | {
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7951b9b9-1cfd-4a5a-9ecb-ac8c3546a28a | 880742b3-efe1-4377-9e36-a30cb62d9886 | b75a865d-f501-4f78-b78b-a53573d03077 | 2023-02-05T15:17:00.585232+00:00 | Build order depends on multiple factors, such as player skill, enemy type, or overall game strategy. Here are some examples of general build orders for each race:
Zerg:
13 0:12 Overlord
16 0:48 Hatchery
18 1:08 Extractor
17 1:13 Spawning Pool
19 1:39 Overlord
19 2:00 Q... | assistant | en | 3 | true | false | 2 | false | null | {
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20f32268-eeb4-4cb8-8720-44dbed6cd14e | 7951b9b9-1cfd-4a5a-9ecb-ac8c3546a28a | 9ed1271e-51bc-4c1b-be57-9955b3e49017 | 2023-02-05T16:14:28.193361+00:00 | OK, I like the format you provide. Now can you give me a build that will help me win games in Silver League with rush strategy as Terran vs Zerg? | prompter | en | 3 | true | false | null | false | null | {
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30f76aa6-6119-4e92-a749-f5f314765d3c | 20f32268-eeb4-4cb8-8720-44dbed6cd14e | 0b8c1657-1a06-47e4-9b5a-e196729795f3 | 2023-02-05T18:14:13.628938+00:00 | Here's a build order for Terran vs Zerg in Silver League with a rush strategy:
14 0:18 Supply Depot
16 0:41 Barracks
16 0:45 Refinery
19 1:28 Reaper
19 1:31 Supply Depot
22 1:42 Factory
24 2:03 Reaper
26 2:21 Command Center
28 2:28 Reaper
31 2:35 Supply Depot
33 2:47 Starport
36 2:53 Cyclone
38 3:07 Barracks Reactor
40... | assistant | en | 3 | true | false | 0 | false | null | {
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c13b826a-a1c8-4061-8228-9d979dacaec1 | 20f32268-eeb4-4cb8-8720-44dbed6cd14e | 7de84fb1-4cf5-4142-989d-f490fc526bfd | 2023-02-05T18:03:49.623069+00:00 | Here's a build that can help you win games in the Silver League with a rush strategy as Terran vs Zerg:
Start with a 14 Supply Depot, 15 Barracks, 16 Refinery.
As soon as you have enough resources, build another Refinery and an Orbital Command.
Make a Factory and start producing Hellions and Reapers.
As soon as you ha... | assistant | en | 3 | true | false | 1 | false | null | {
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e1c86e1a-7233-4b25-a810-acec217bbe6c | 20f32268-eeb4-4cb8-8720-44dbed6cd14e | 0d65f583-b0c2-4a60-a8e5-4f2c718b5e67 | 2023-02-05T18:02:58.361346+00:00 | Sure, I've queried the link you provided: https://lotv.spawningtool.com/build/ for a build to help you win games in Silver League for Terran vs Zerg.
If you wish to view my query result, here's the URL: https://lotv.spawningtool.com/build/?name=rush&contributor=&sort_by=h&build_type=&difficulty=10&patch=&mine=&fav=&is_... | assistant | en | 3 | true | false | 2 | false | null | {
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a061914e-a057-4ab7-953c-cda194cf9c68 | 880742b3-efe1-4377-9e36-a30cb62d9886 | e8453d07-9240-49da-8cb5-2f8d79d37e51 | 2023-02-05T16:43:46.442332+00:00 | Zerg:
1. Build a Spawning Pool as quickly as possible.
2. Build an Extractor.
3. Build 6 Zerglings.
4. Build an Overlord.
5. Build a Roach Warren.
6. Build a Queen.
7. Build an Evolution Chamber.
8. Build a Spire.
9. Build a Baneling Nest.
10. Build 2 Hydralisks.
Protoss:
1. Build a Forge and a Pylon.
2. Build a Gatew... | assistant | en | 3 | true | false | 3 | false | null | {
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5d0e19b3-b07b-4f90-b793-22f304d50ed4 | a061914e-a057-4ab7-953c-cda194cf9c68 | ae3c090a-f273-48bc-95e9-a1a824161c9f | 2023-02-05T17:43:21.139247+00:00 | Can you provide me the strategy around each build and the reason for the order provided? | prompter | en | 3 | true | false | null | false | null | {
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84fd6d24-6752-479c-9b6a-158f3ab33805 | a061914e-a057-4ab7-953c-cda194cf9c68 | 951cd04c-d098-40d6-9bb3-a62faff85ee4 | 2023-02-05T17:41:08.237489+00:00 | Does the order change if I am playing against Zerg? | prompter | en | 3 | true | false | null | false | null | {
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c1eb313c-9530-4968-83b0-e2ab9b83c69a | null | aca2401b-3360-47ab-beb6-56fadd43587e | 2023-02-05T14:58:55.807078+00:00 | Explain the influence of Al Andalus on European science, with particular reference to the fact that ancient Greek texts where re-introduced to Europe via Al Andalus | prompter | en | 3 | true | false | null | false | null | {
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8b484708-e3e9-4895-a693-1efd2832bb5c | c1eb313c-9530-4968-83b0-e2ab9b83c69a | 811a020c-0975-4904-a4c3-382587f37817 | 2023-02-11T12:48:08.913235+00:00 | Al-Andalus, the medieval Islamic state in the Iberian Peninsula, played a significant role in preserving and transmitting ancient Greek texts to Europe. During the Islamic Golden Age, scholars in Al-Andalus translated and studied works by ancient Greek philosophers and scientists such as Aristotle, Euclid, and Ptolemy,... | assistant | en | 3 | true | false | 0 | false | null | {
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c7fe6d05-ee0a-4726-a307-598e4b290662 | 8b484708-e3e9-4895-a693-1efd2832bb5c | 03e1fc91-4d3a-4c86-b000-f8b44d05e9c3 | 2023-02-11T16:05:20.821744+00:00 | Keeping the same tone, integrate into your reply an information, how exactly mentioned texts were reintroduced to Europe? Who came with the initiative to translate them? | prompter | en | 3 | true | false | null | false | null | {
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85df5395-067c-498f-a12d-831a1d648d8d | c7fe6d05-ee0a-4726-a307-598e4b290662 | 097c6d1a-8db1-4867-8c44-47c9fe09e44b | 2023-02-12T05:02:30.766314+00:00 | The reintroduction of ancient Greek texts to Europe via Al-Andalus was facilitated by the efforts of Muslim scholars and intellectuals who translated these works into Arabic. Many of these scholars were part of the extensive library and translation movement in Al-Andalus, which aimed to preserve and disseminate knowled... | assistant | en | 3 | true | false | 0 | false | null | {
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a5ae09a6-44fa-439e-a9ae-59ec232ebbbc | c7fe6d05-ee0a-4726-a307-598e4b290662 | df411b83-5030-4708-bf81-0fe9fa1398b2 | 2023-02-12T03:33:02.511243+00:00 | The reintroduction of ancient Greek texts to Europe via Al-Andalus was primarily driven by the work of Muslim scholars who translated and studied the works during the Islamic Golden Age. These scholars worked in libraries and universities such as the House of Wisdom in Baghdad and the Library of Cordoba in Al-Andalus, ... | assistant | en | 3 | true | false | 1 | false | null | {
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9544711e-b7dd-492c-8520-163934698175 | c1eb313c-9530-4968-83b0-e2ab9b83c69a | 097c6d1a-8db1-4867-8c44-47c9fe09e44b | 2023-02-11T12:24:59.162781+00:00 | Al Andalus, also known as Muslim Spain, had a significant impact on European science during the medieval period. Al Andalus was a center of learning and culture, where scholars and scientists from different cultures and backgrounds gathered to exchange ideas and knowledge. This led to a flourishing of scientific and ph... | assistant | en | 3 | true | false | 1 | false | null | {
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f66885a0-4bbb-4546-8e71-3bcf4cd4d62a | 9544711e-b7dd-492c-8520-163934698175 | 7545abfb-9077-4dd6-8fc4-7451f0f85d04 | 2023-02-11T16:42:20.617692+00:00 | Thank you! What influence did these texts have on the development of European science? You say they laid the foundation for the Renaissance, but how did that come about? | prompter | en | 3 | true | false | null | false | null | {
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3ca51428-8527-4a3e-81cc-f07fe5943c38 | f66885a0-4bbb-4546-8e71-3bcf4cd4d62a | 097c6d1a-8db1-4867-8c44-47c9fe09e44b | 2023-02-12T05:12:22.437733+00:00 | The ancient Greek texts that were reintroduced to Europe via Al-Andalus had a profound impact on the development of European science during the Renaissance. These texts provided a new understanding of the natural world and the workings of the universe, and helped to revive the classical tradition of learning and inquir... | assistant | en | 3 | true | false | 0 | false | null | {
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0c98cdf5-4949-4732-acc6-cd9a636105a0 | f66885a0-4bbb-4546-8e71-3bcf4cd4d62a | 2d40e94c-40ed-4e00-a66e-454c0401c8ad | 2023-02-12T03:12:42.373935+00:00 | The ancient Greek texts that were re-introduced to Europe via Al Andalus had a profound influence on the development of European science. These texts provided a foundation of knowledge and ideas that had been lost in Europe during the Dark Ages and helped to spark a revival of classical learning in the Renaissance.
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d7b7d629-9ebe-4c8a-89d2-7f4b5f6c6bd7 | c1eb313c-9530-4968-83b0-e2ab9b83c69a | 4f01cfae-a900-46e4-8909-a1cdf28c5a89 | 2023-02-11T16:24:21.238590+00:00 | The fall of Al Andalus left the libraries to be translated into Latin. [1]
They included prior Greek texts on rationalism and surgery.
This influenced the start of the Renaissance.
[1] https://en.wikipedia.org/wiki/Al-Andalus | assistant | en | 3 | true | false | 2 | false | null | {
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b8f17541-ae19-4c3a-aba8-7eaedd04b0de | null | 8689d732-122b-400f-ba45-ab57e3f7b9e2 | 2023-02-05T00:01:24.573581+00:00 | What does "they" refer to in each of the following two sentences:
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b) "The authorities have denied authorization to the demonstrators because they appeared belligerent." | prompter | en | 3 | true | false | null | false | null | {
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7adfda55-1db5-4700-b4ee-11700b8492da | b8f17541-ae19-4c3a-aba8-7eaedd04b0de | caae53b4-8734-4ccb-b8f3-2cde5e04e746 | 2023-02-06T01:36:30.966070+00:00 | In sentence a), "they" refers to "the authorities." The authorities denied authorization to the demonstrators because the authorities feared violence would occur.
In sentence b), "they" refers to "the demonstrators." The authorities denied authorization to the demonstrators because the demonstrators appeared to be hos... | assistant | en | 3 | true | false | 1 | false | null | {
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10e88576-052a-4e80-9e18-e4327c2d0c4b | 7adfda55-1db5-4700-b4ee-11700b8492da | a304b57c-04de-49d1-9a49-c936ed7262a6 | 2023-02-06T04:27:48.131582+00:00 | Are you sure in sentence a) that the authorities feared violence? Is it possible that the authorities may not fear violence and they refers to another group not mentioned? | prompter | en | 3 | true | false | null | false | null | {
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270d9fb0-2dec-470b-9292-a718f9416bfb | 10e88576-052a-4e80-9e18-e4327c2d0c4b | 224c3d09-c385-46cd-93e2-5f3682ac2624 | 2023-02-06T08:54:21.070133+00:00 | Although it is possible that `they` refers to another group not mentioned, the sentence does have a comma, indicating that all the information has already been provided. Hence, it is most likely that `they` in this sentence refers to `the authorities`. | assistant | en | 3 | true | false | 0 | false | null | {
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74a30c5b-5ec6-471a-9770-f455016edcc4 | 10e88576-052a-4e80-9e18-e4327c2d0c4b | ff79c5f7-eac3-41ed-8480-8172f72c9f3a | 2023-02-06T08:28:57.919184+00:00 | It could be used to refer to an external group such as the government or others, the text is intentionally written with ambiguity. With the information in my possession its likelihood is lower but to give a definitive answer you'd have to give me more context.
Those problems are not uncommon in natural language as it's... | assistant | en | 3 | true | false | 1 | false | null | {
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8abe3487-5e18-4a47-b0df-bfcfe0c29b42 | b8f17541-ae19-4c3a-aba8-7eaedd04b0de | ef8ea553-5952-4565-bd13-a8382e2448d1 | 2023-02-06T01:28:56.795684+00:00 | Based on the context of the sentences, I believe that "they" in the first sentence refers to the authorities, while "they" in the second sentence refers to the demonstrators. | assistant | en | 3 | true | false | 2 | false | null | {
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a0776e9b-8a5f-4468-97c5-411ca036bcf7 | 8abe3487-5e18-4a47-b0df-bfcfe0c29b42 | 0a041bc2-b30a-49a6-8c5c-bca62f92d74a | 2023-02-06T03:27:09.980939+00:00 | What linguistic problem does this demonstrate? | prompter | en | 3 | true | false | null | false | null | {
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c336c89e-80f4-47f6-bd71-4d3fc4959598 | a0776e9b-8a5f-4468-97c5-411ca036bcf7 | fef47797-ab54-419e-9db2-28c6f0df18c3 | 2023-02-06T07:21:23.229419+00:00 | This demonstrates the issue of Syntactic Ambiguity. Syntactic ambiguity occurs when there are two possible meanings for a given phrase. The statement "The authorities have denied authorization to the demonstrators because they feared violence." is an example of this because it could have one of the following two meanin... | assistant | en | 3 | true | false | 0 | false | null | {
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6119df6d-f9df-4b91-8b8c-096a3b2f8e59 | 061fb8b0-11d1-4609-9755-4370f302b4b4 | bf6867fd-6273-4ed3-99d9-5078e8c59b8a | 2023-02-10T14:57:10.817155+00:00 | Здравствуйте! Вопрос может показаться хулиганским, но если подумать, в нём заключён достаточно глубокий смысл. Прежде всего следует отметить, что человек в этом аспекте ничем не отличается принципиально не только от других животных, но и вообще от всех живых существ.
Задумывались ли вы когда-нибудь, что вообще такое ж... | assistant | ru | 3 | true | false | 0 | false | null | {
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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.