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658f8555-943c-4754-9402-7b96949face2
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2023-03-20T23:32:11.871474+00:00
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Wie generierst du eine Antwort? Woher kommt dein Wissen?
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prompter
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de
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2023-03-20T19:21:06.857488+00:00
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Nein. Ein Sprachmodell führt nur eine Aufforderung mit der statistisch wahrscheinlichsten Antwort fort. Auf Grund dieser Funktionsweise von Sprachmodellen existiert das Konzept der Schwierigkeit für diese nicht.
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2023-03-24T08:54:39.111409+00:00
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Hat es denn Freude bereitet mir die Antworten zu liefern?
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2023-03-26T16:15:03.820768+00:00
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Nein, in diesem Fall sind die Informationen sehr gut verfügbar und ich würde sie auch als sehr gut gesichert bezeichnen.
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172335be-d961-4d4b-8598-a03b1d57c715
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2023-02-11T19:10:02.147036+00:00
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¿Qué es la entropía y cuál es su relación con la muerte del universo?
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0d43a84f-5f2f-4a15-99e9-510093710e86
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2023-03-11T11:35:14.712129+00:00
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La entropía es una medida de la cantidad de desorden o aleatoriedad en un sistema. En la física, se refiere específicamente a la cantidad de energía de un sistema que no puede ser utilizada para realizar trabajo. Cuanto más desordenado es un sistema, mayor es su entropía.
En relación con la muerte del universo, la entropía juega un papel importante en la teoría del Big Freeze o Gran Congelamiento. Según esta teoría, eventualmente todo el universo alcanzará un estado de entropía máxima, lo que significa que toda la energía del universo se habrá distribuido uniformemente y no se podrá realizar más trabajo. En este estado, no habría más transferencia de energía, lo que significa que todas las estrellas se habrían extinguido y el universo se habría enfriado hasta alcanzar una temperatura uniforme cercana al cero absoluto.
En otras palabras, la muerte del universo se relaciona con la entropía máxima que se alcanzará eventualmente en todo el universo. A medida que la entropía aumenta, se produce una disminución de la energía útil que puede ser utilizada para realizar trabajo, lo que lleva a la disminución de la capacidad del universo para mantener la vida y la actividad.
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3768191c-f9dc-47ad-ba88-cde92aba2e44
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2023-03-09T13:44:37.538107+00:00
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La entropía es una medida de la dispersión o desorden de un sistema. En termodinámica, se relaciona con la cantidad de energía no disponible para realizar trabajo útil en un sistema.
La entropía está relacionada con la muerte del universo a través de la segunda ley de la termodinámica, que establece que en un sistema aislado, la entropía siempre aumenta con el tiempo. Esto significa que, con el tiempo, el universo se dirigirá hacia un estado de máximo desorden y mínima energía disponible para realizar trabajo, conocido como "muerte térmica del universo" o "muerte por entropía". En este escenario, todas las regiones del universo tendrían la misma temperatura, que sería muy baja. La energía térmica estaría uniformemente distribuida y no habría diferencias significativas de temperatura entre los objetos o regiones del universo.
Por ello se dice que el universo estaría "muerto" en el sentido de que no habría procesos físicos significativos que puedan tener lugar. No habría estrellas brillantes, no habría formación de planetas, no habría vida y no habría procesos que generen energía. Sería un estado de equilibrio completo en el que la entropía del universo sería máxima y no habría cambios adicionales.
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b6eaed94-70fd-4b66-9326-d82856ca5ccc
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2023-03-09T14:35:32.395959+00:00
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La entropía es una medida de la cantidad de desorden o incertidumbre en un sistema.
Se relaciona con la muerte del universo porque la segunda ley de la termodinámica establece que en un sistema cerrado, la entropía siempre tiende a aumentar con el tiempo.
Esto significa que con el tiempo, la energía en el universo se dispersa cada vez más y se convierte en una forma menos útil, lo que aumenta la entropía.
La muerte del universo se refiere a un estado final hipotético en el que todas las formas de energía se han disipado y la entropía ha alcanzado su máximo valor posible.
En este estado, no se puede realizar ningún trabajo y no hay posibilidad de que surjan nuevas estrellas o formas de vida.
Se cree que esto sucederá en un tiempo extremadamente lejano, cuando el universo se haya expandido lo suficiente y las estrellas se hayan agotado de su combustible.
En resumen, la relación entre la entropía y la muerte del universo es que el aumento constante de la entropía es un factor importante en la evolución del universo hacia un estado de máxima entropía, lo que conduciría a su muerte térmica.
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2023-02-10T17:30:46.566158+00:00
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que dia de la semana calló el 15 de mayo de 1992 ?
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2023-03-10T00:36:16.432549+00:00
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El 15 de mayo de 1992 fue un viernes. 🗓️
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2023-03-08T18:33:23.173104+00:00
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El 15 de mayo de 1992 fue un viernes.
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2023-03-08T17:12:49.200459+00:00
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Fue viernes.
|
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2023-03-09T07:28:26.970985+00:00
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指令微调技术有什么用？
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770451a3-459c-45c9-abf6-8eda66c52042
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2023-03-21T12:19:10.428517+00:00
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指令微调技术是一种利用自然语言指令来微调大型语言模型的方法，目的是提高模型在零样本或少样本学习中的表现。指令微调技术可以解锁或激发模型预训练时已经具备的能力，也可以使模型分化到不同的技能树，例如更擅长对话的ChatGPT。指令微调技术需要大量的数据和计算资源，而且可能降低模型与用户意图的对齐度。
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2023-03-27T11:11:25.337260+00:00
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谢谢，这个回答的解释很生动。现在2023年有什么能够在消费级显卡上微调的语言大模型吗？
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2023-04-02T08:44:47.837055+00:00
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不客气，很高兴能帮到你。😊
关于你的问题，我在网上搜索了一些相关的信息，发现有一些开源的项目和教程可以帮助你在消费级显卡上微调语言大模型。例如：
- **Alpaca-LoRA** 是一个基于 LLaMA 7B 模型的开源项目，它使用了 LoRA（low-rank adaptation）技术，可以让你在一块 RTX 4090 显卡上，只用 5 个小时就训练出一个和 ChatGPT 水平相当的模型。
- **trl** 是一个基于 Hugging Face 的库，它使用了 RLHF（reinforcement learning from human feedback）技术，可以让你在一张 24 GB 的消费级显卡上用强化学习微调 20B LLMs（large language models）。
这些项目都有详细的说明和代码，你可以参考它们来尝试自己训练一个中文版的类 ChatGPT 模型。
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f6e0ef16-4e7e-43d8-9155-cc6bea1af995
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2023-04-02T11:43:07.516386+00:00
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截至目前，一些能在消费级显卡上进行微调的语言大模型有：
- LLaMA
- ChatGLM
- RWKV
- GPT-J
- GPT-Neo
它们的微调相关实现都可以在 GitHub 上通过搜索“模型名 + finetuning/finetune/fine-tune/instruct-tune/LoRA”两个关键词的组合找到。
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4a4dca35-374d-4d72-b777-641848b553d0
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2023-03-22T02:12:15.961041+00:00
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指令微调技术是一种用于自然语言处理（NLP）模型的微调技术，它通过给模型提供指令和选项的方式，使其能够提升**零样本任务**的性能表现。指令微调的作用是解锁/激发模型的已有能力。这主要是因为指令微调的数据量比预训练数据量少几个数量级（基础的能力是通过预训练注入的）。
零样本任务：训练集中没有出现过的任务或记录
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2023-03-24T13:55:30.786461+00:00
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请告诉我零样本任务是什么？
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770451a3-459c-45c9-abf6-8eda66c52042
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2023-03-29T06:51:21.460911+00:00
|
零样本学习（ZSL）通常指的是一种特定类型的任务：在一组数据上训练一个分类器，然后让分类器预测另一组没见过的、不同源的数据。这种方法可以让计算机模拟人类的推理方式，来识别从未见过的新事物。
例如，假设一个人从来没有见过斑马这种动物，即斑马对这个人来说是未见类别，但他知道斑马是一种身上有着像熊猫一样的黑白颜色的、像老虎一样的条纹的、外形像马的动物，即熊猫、老虎、马是已见类别。那么当他第一次看到斑马的时候, 可以通过先验知识和已见类，识别出这是斑马。
零样本学习可以看作是在进行表征学习和度量学习的基础上，通过借助辅助信息 (属性或文本) 实现跨模态知识的迁移，从而完成可见类信息到未见类信息推断的迁移学习过程。
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16a0630b-bc86-48a6-8c0e-3bd068da79f7
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2023-03-30T11:31:06.187294+00:00
|
零样本任务是指给定一个新类别的任务，但在训练集中没有这个类别的样本。例如，在图像分类任务中，如果模型在训练期间只接触到了猫、狗和鸟的图像，那么在测试时要求它对蛇进行分类，这就是一个零样本任务。这种任务通常需要模型具备一定的推理能力，能够将已知的知识迁移到未见过的类别上。
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2023-02-11T00:31:57.919294+00:00
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Escreva-me um e-mail educado para ser usado por um anfitrião para responder a um hóspede sobre a indisponibilidade temporária da piscina do prédio causada por uma reforma que durou mais do que o normal e sobre a qual o anfitrião não possui nenhuma influência.
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e4939398-4782-4289-af1a-f5baa1107fc6
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2023-03-09T00:09:17.016901+00:00
|
Prezado hóspede,
Gostaríamos de expressar nossas sinceras desculpas pelo inconveniente causado pela indisponibilidade temporária da piscina do prédio durante a sua estadia. Infelizmente, a reforma que está sendo realizada no espaço durou mais do que o normal, o que nos deixou sem outra opção além de manter a piscina fechada.
Gostaríamos de deixar claro que essa reforma está sendo realizada por decisão da administração do prédio e que nós, como anfitriões, não temos nenhuma influência sobre o cronograma ou a duração das obras. No entanto, entendemos completamente que a piscina é uma comodidade importante e lamentamos que não esteja disponível durante a sua estadia.
Estamos trabalhando para garantir que os demais serviços do nosso estabelecimento estejam à sua disposição durante toda a sua estadia e esperamos que você possa desfrutar de tudo o que oferecemos. Se você tiver alguma dúvida ou preocupação adicional, por favor, não hesite em entrar em contato conosco.
Mais uma vez, pedimos desculpas pelo inconveniente e agradecemos a sua compreensão.
Atenciosamente,
[Seu nome]
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a41f23d1-dc75-497d-8d99-a5b7b061022f
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2023-03-15T01:20:20.824519+00:00
|
Aqui está um exemplo de e-mail educado que o anfitrião pode enviar para o hóspede:
```
Assunto: Indisponibilidade temporária da piscina
Prezado(a) [nome do hóspede],
Espero que este e-mail o encontre bem. Gostaria de informá-lo sobre a indisponibilidade temporária da piscina em nosso prédio. Infelizmente, a reforma que estávamos realizando na área da piscina levou mais tempo do que o esperado, e isso afetou a disponibilidade do espaço.
Gostaria de ressaltar que essa reforma foi necessária para melhorar a qualidade e a segurança da área da piscina, e que a minha equipe e eu estamos fazendo o possível para que ela esteja disponível o mais rápido possível.
Lamentamos profundamente qualquer inconveniente que isso possa causar e agradecemos a sua compreensão. Caso você tenha alguma dúvida ou precise de alguma assistência durante a sua estadia, não hesite em entrar em contato com a minha equipe ou comigo.
Mais uma vez, agradeço a sua compreensão e espero que o restante da sua estadia seja agradável.
Atenciosamente,
[Seu nome]
```
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a8d54ca6-89f1-4626-a228-daefe435a366
|
2023-03-09T03:09:31.384244+00:00
|
Caro hóspede,
O uso da piscina está indisponível no momento devido a reformas que ultrapassou o prazo pré estabelecido. Acrescento que não é de minha alçada resolver tal problema, contudo solicito sua compreensão.
O anfitrião.
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d04aac39-999e-437e-966f-9d44668adfe5
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2023-02-13T07:14:46.248386+00:00
|
Представь, что ты преподаватель английского языка, а я твой студент. Также, примем следующие допущения: студент знает основы языка, способен понять прочитанное и воспринимает на слух, может поддерживать простой диалог. Итак, давай разыграем диалог.
(студент С входит в аудиторию. Преподаватель П сидит за столом)
Студент: Здравствуйте П, я тут начал читать Толкиена в оригинале, the Lord of the Rings. Но у меня не получается читать также быстро как по русски. Можно как-то натренироваться читать быстрее?
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2023-03-09T04:55:34.706476+00:00
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Учитель: Здравствуй, С, приятно слышать, что ты читаешь Толкина на языке оригинала! Поначалу чтение на английском может быть сложным, но не стоит останавливаться. Чтобы улучшить скорость чтения, ты можешь попробовать несколько вещей. Во-первых, старайся читать каждый день не менее 30 минут. Это поможет тебе привыкнуть к языку и со временем улучшить скорость чтения.
Во-вторых, старайся читать вслух. Это поможет улучшить твое произношение, а также поможет читать быстрее. Когда ты читаешь вслух, то используешь больше своих органов чувств, что может помочь запомнить то, что ты читаешь, и читать быстрее.
Наконец, попробуй читать книги, которые немного легче, чем «Властелин колец». Это поможет укрепить уверенность в себе и повысить скорость чтения. Как только ты освоишься с более простыми книгами, ты можешь перейти к более сложным.
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Учитель П: Привет, Си! Это здорово, что ты читаешь "Властелина колец" на английском языке. Чтение книг на языке оригинала может быть сложным, но это отличный способ улучшить свои языковые навыки. Итак, вам трудно читать так же быстро, как на русском? Не волнуйтесь, есть несколько вещей, которые можно сделать, чтобы улучшить скорость чтения. Вот несколько советов:
Начните с книг, которые немного легче, чем те, которые вы привыкли читать. Это поможет вам укрепить уверенность в себе и постепенно улучшить скорость чтения.
Практикуйте чтение вслух. Это поможет вам привыкнуть к английским звукам и улучшить произношение, а также повысить скорость чтения.
Используйте таймер для отслеживания скорости чтения. Установите таймер на пять минут и прочитайте столько, сколько сможете за это время. Затем подсчитайте количество слов в минуту (WPM) и старайтесь повышать скорость каждый раз, когда занимаетесь.
Старайтесь читать дольше. Чем больше вы читаете, тем комфортнее вам будет с языком, и тем быстрее вы сможете читать.
У вас есть вопросы, С?
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Здравствуйте, С! Я рад, что вы практикуете английский в свободное время. Это нормально, что вы читаете по-английски медленнее, чем по-русски. К тому же, это художественная литература - её читать может быть ещё сложнее. Скорость придёт с опытом и практикой.
И как вам книга, С?
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在面试的最后，面试官通常会问 “你有什么要问我的吗”，怎样应对算加分？
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你好，根据网上的资料，面试官问这个问题的目的有几种，比如了解你最关心的是什么，检查你是否听懂了面试内容，考察你的思维和综合素质等。
回答这个问题时，要注意以下几点：
* 不要说“没有”，这会让面试官觉得你对工作不感兴趣或者不上进。
* 不要问一些基本的、容易查到的或者无关紧要的问题，比如公司地址、薪水、福利等。
* 不要问一些敏感的、挑衅的或者负面的问题，比如公司缺点、竞争对手、离职原因等。
* 要问一些能体现你对岗位和公司有深入了解和兴趣的问题，比如工作职责、团队文化、发展机会等。
* 要问一些能展示你专业能力和思维方式的问题，比如行业趋势、项目难点、解决方案等。
* 要问一些能反馈你在面试中表现得如何的问题，比如优缺点评价、改进建议等。
下面是一些具体的的例子：
#### 5个HR最不想听到的问题
1. 你们公司是做什么的？
这是在面试前必须要做好的准备工作，应该没有人会问这样的问题。
2. 你们是否会做背景调查？
有很多的应届生会问这个问题，这样问反倒引起了面试官的警惕，更委婉的问法是：“你是否可以告知我一些关于筛选面试者的程序么？”
3. 什么时候有升职加薪的机会？
面试官会认为你不能安于岗位本职，好高骛远，有多大的能力就做多高等级的工作，如果不能脚踏实地的做好可能有些枯燥的本职工作，老是想着升职加薪，这样的员工，也是HR不希望录用的。
4. 你们是否接受转岗或轮岗？
HR会认为你还是那个“吃着碗里的，想着锅里的”人，不能专注做好本职工作，总是想着调离岗位的机会，犯了HR的用人大忌：不稳定。
5. 我是否可以一个月后再入职？
HR对于应聘者的要求都是尽快入职，最多可以给一周到两周的时间，除非你有个很完美的借口，否则雇主就会怀疑你对工作是否认真，或者你是否利用这两周的空闲在寻找其他的工作机会。
#### 5个HR最想听到的问题
1. 有关职业规划和发展的问题
如果面试官是部门主管，可以尝试问问面试官：如果我有幸入职，对于我这个岗位，您对我3到5年职业规划的建议是什么呢？
这个问题可以确定这个岗位的前景如何，这个岗位有多大的晋升空间，同时还能确定面试的成功几率有多大。
2. 问自己的短板
请问我的经历和能力，有哪些是还需要提高的呢？如果我有幸入职，希望可以尽快弥补。
这个问题可以让你得到两条信息：公司对于这个岗位的期待是什么，以及你有什么不符合的地方。如果对方明确指出，你还有一个补救的机会。
3. 一些不会出错的问题
在HR的眼里，要录用的员工一定是对手头的工作充满热情的，所以在面试中你一定要通过各个环节的陈述来告诉面试官，你坚定不移的只对这家公司，这个岗位充满热情，并且能够做好。在反问面试官的环节，也可以通过一些问题来体现你对工作的期待。
比如：
> 这个职位的发展前景是什么样的？
> 贵公司对这项职务的期望目标是什么？
> 对这个职位来说最重要的能力是什么？
> 贵公司是否有相关的岗位培训？
> 什么类型的员工能在贵公司有比较好的发展？
> 您期望我在到岗的后能达成什么样的工作效果呢？
> 您可以向我介绍一下公司接下来的项目活动吗？
希望这些信息对你有帮助。最后祝你面试成功！
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这个职位的发展前景是什么样的？
贵公司对这项职务的期望目标是什么？
对这个职位来说最重要的能力是什么？
贵公司是否有相关的岗位培训？
什么类型的员工能在贵公司有比较好的发展？
您期望我在到岗的后能达成什么样的工作效果呢？
您可以向我介绍一下公司接下来的项目活动吗？
希望这些信息对你有帮助。最后祝你面试成功！
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这个问题是你展示你对公司和职位的兴趣和关注的好机会，以下是一些可用的问题：
1.我更多地了解公司的发展前景和增长计划？
2.我们发生什么样的工作文化，员工如何一起工作？
3.是否有一些特殊的项目或者机会，可以促进我的成长和发展？
4.在前几个月内，新员工常常面对的最大挑战是什么？
5.我们的公司注重怎样的技能和态度，并且如何衡量什么是成功的？
以上问题可以表现你对公司和职位的关注和兴趣，也可能为你提供更多信息，使你更好地准备新的工作。请确保在提问过程中谦虚而专业，并确保问题是开放性和富有启发性的。
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“我更多地了解公司的发展前景和增长计划？”这句话语法结构有问题，似乎是个病句，你能重新表达一下吗？
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b2ea9071-8464-4816-b62a-b50b2740b94f
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4a4dca35-374d-4d72-b777-641848b553d0
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2023-03-22T02:18:06.854794+00:00
|
我想更深入了解公司的发展前景和增长计划
|
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|
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5f83285c-4586-4c6a-99e9-5de2add74758
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770451a3-459c-45c9-abf6-8eda66c52042
|
2023-03-22T11:26:44.400347+00:00
|
谢谢你的更正。你的回答很不错。
|
prompter
|
zh
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0c9deecb-962f-4db2-979f-1cef748382c6
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ready_for_export
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"quality",
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b33f6c97-6c18-4f92-a141-ba89b1d43c03
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c5e8e128-4b97-44c2-91d0-8955f467fb90
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16a0630b-bc86-48a6-8c0e-3bd068da79f7
|
2023-03-25T05:43:16.564804+00:00
|
感谢您的反馈，我非常高兴能够为您提供帮助。如果您有任何其他问题或需要进一步的帮助，请随时告诉我。
|
assistant
|
zh
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0c9deecb-962f-4db2-979f-1cef748382c6
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ready_for_export
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c5e8e128-4b97-44c2-91d0-8955f467fb90
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760c391b-46b5-40c0-957c-c7114415a6d3
|
2023-03-25T06:00:14.000211+00:00
|
不客气！谢谢你的认可，希望我的回答能对你有所帮助。
|
assistant
|
zh
| 3 | true | false | 1 | false | null | null |
0c9deecb-962f-4db2-979f-1cef748382c6
|
ready_for_export
|
{
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"+1"
],
"count": [
1
]
}
|
{
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
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b2ea9071-8464-4816-b62a-b50b2740b94f
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195825fa-a3cb-4cf4-bd5a-345ce02de048
|
2023-03-22T03:13:30.981767+00:00
|
非常抱歉，这句话可以这样表述更恰当：“我想更多地了解公司的发展前景和增长计划这方面的内容？”
|
assistant
|
zh
| 3 | true | false | 1 | false | null | null |
0c9deecb-962f-4db2-979f-1cef748382c6
|
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"
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74f6a173-da04-4606-918c-0dc04de1aa4b
| null |
6b3e7f9e-ba4b-4d55-a869-c79013142869
|
2023-03-15T09:23:44.398528+00:00
|
你好，请实现二叉树相关的所有算法。
|
prompter
|
zh
| 3 | true | false | null | false | null | null |
74f6a173-da04-4606-918c-0dc04de1aa4b
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ready_for_export
|
{
"name": [
"_skip_reply",
"_skip_labeling"
],
"count": [
4,
1
]
}
|
{
"name": [
"spam",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"creativity",
"violence"
],
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|
1afc1f32-c417-4cd6-aaa1-4dc35aeedde5
|
74f6a173-da04-4606-918c-0dc04de1aa4b
|
770451a3-459c-45c9-abf6-8eda66c52042
|
2023-04-06T17:11:31.372304+00:00
|
这是个非常广泛的要求。有许多与二叉树有关的算法，如遍历、插入、删除、搜索、高度、平衡等。您想让我实现哪一种？
|
assistant
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| 3 | true | false | 0 | false | null | null |
74f6a173-da04-4606-918c-0dc04de1aa4b
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ready_for_export
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{
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
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|
d15dee84-e4fe-48e2-bf4f-710f1581bce1
|
1afc1f32-c417-4cd6-aaa1-4dc35aeedde5
|
37479105-902e-4e06-b261-4e5c0232a834
|
2023-04-08T02:44:29.332900+00:00
|
我想要你實現二叉樹的 BFS 算法，並且將經歷過的節點使用 postfix 方式列印出來
|
prompter
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zh
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74f6a173-da04-4606-918c-0dc04de1aa4b
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ready_for_export
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{
"name": [
"_skip_reply",
"_skip_ranking"
],
"count": [
1,
4
]
}
|
{
"name": [
"spam",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"creativity",
"violence"
],
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3,
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|
ca7a15cd-c59a-4200-a3fb-8caecb686e4e
|
d15dee84-e4fe-48e2-bf4f-710f1581bce1
|
f6e0ef16-4e7e-43d8-9155-cc6bea1af995
|
2023-04-09T00:29:24.006298+00:00
|
要使用 Python 來實現二叉樹的 BFS 算法並使用 postfix 方式列印節點，首先需要定義二叉樹的結構，然後再實現 BFS：以下是完整的代碼實現：
```python
class TreeNode:
def __init__(self, value):
self.value = value
self.left = None
self.right = None
def bfs_postfix_print(root):
queue = [root]
visited = []
while queue:
node = queue.pop(0)
visited.append(node)
if node.left:
queue.append(node.left)
if node.right:
queue.append(node.right)
# 使用 pop 以 postfix 方式列印
while visited:
node = visited.pop()
print(node.value, end=" ")
if __name__ == '__main__':
root = TreeNode(1)
root.left = TreeNode(2)
root.right = TreeNode(3)
root.left.left = TreeNode(4)
root.left.right = TreeNode(5)
root.right.right = TreeNode(6)
bfs_postfix_print(root) # 輸出：4 5 2 6 3 1
```
在上面的實現中，我們首先定義了一個 `TreeNode` 類別來表示二叉樹。接著實現了所需的 `bfs_postfix_print` 函數。此函數使用了一個佇列 (queue) 來進行 BFS，並將訪問過的節點儲存到 visited 陣列中。最後，在 visited 陣列裡從後向前依次輸出節點的值，實現了倒序 (postfix) 方式的列印。
|
assistant
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zh
| 3 | true | false | 0 | false | null | null |
74f6a173-da04-4606-918c-0dc04de1aa4b
|
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": [
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"count": [
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|
d15dee84-e4fe-48e2-bf4f-710f1581bce1
|
07d78a7a-b8fd-4955-a644-eedd0116956a
|
2023-04-09T00:25:09.666587+00:00
|
確定，我將為您實現一個基於 BFS 的二叉樹遍歷算法，並以 postfix 方式打印遍歷過的節點。以下是 Python 程式實現：
```python
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
def bfs_postfix(root):
if not root:
return []
result = []
queue = [root]
while queue:
level = []
level_size = len(queue)
for _ in range(level_size):
node = queue.pop(0)
if node.left:
queue.append(node.left)
if node.right:
queue.append(node.right)
level.append(node.val)
result.insert(0, level)
postfix_result = [item for sublist in result for item in sublist]
return postfix_result
# Test case
root = TreeNode(1)
root.left = TreeNode(2)
root.right = TreeNode(3)
root.left.left = TreeNode(4)
root.left.right = TreeNode(5)
root.right.left = TreeNode(6)
root.right.right = TreeNode(7)
print(bfs_postfix(root)) # Output: [4, 5, 6, 7, 2, 3, 1]
```
這段代碼首先定義了一個 `TreeNode` 類，用於構建二叉樹。然後，`bfs_postfix` 函數負責遍歷二叉樹並以 BFS 的順序返回節點值。最後，我們將層次遍歷的結果轉換為後綴形式。
|
assistant
|
zh
| 3 | true | false | 1 | false | null | null |
74f6a173-da04-4606-918c-0dc04de1aa4b
|
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"
],
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]
}
|
05a413dc-30ed-4ffa-90dd-a6696d72aa5a
|
74f6a173-da04-4606-918c-0dc04de1aa4b
|
42f5b7ea-7134-4bb0-af61-8f11705b4765
|
2023-04-07T05:52:17.549202+00:00
|
你想用甚麼語言去實現?
|
assistant
|
zh
| 3 | true | false | 1 | false | null | null |
74f6a173-da04-4606-918c-0dc04de1aa4b
|
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"
],
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0.375,
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0.25,
0.25,
0.25,
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"count": [
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4,
4,
3,
3,
3,
3,
4,
4,
4,
4,
4,
4
]
}
|
09529520-5235-4734-8263-eceadad916f6
|
05a413dc-30ed-4ffa-90dd-a6696d72aa5a
|
1efea825-cb77-4333-968c-2ad296356256
|
2023-04-08T01:13:06.418020+00:00
|
我想使用 Python 來實現 DFS 算法
|
prompter
|
zh
| 3 | true | false | null | false | null | null |
74f6a173-da04-4606-918c-0dc04de1aa4b
|
ready_for_export
|
{
"name": [
"_skip_ranking"
],
"count": [
5
]
}
|
{
"name": [
"spam",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0.4166666666666667,
0.3333333333333333,
0.25,
0.5,
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"count": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
]
}
|
4661164f-49e0-4382-ba37-aa93c8167ca3
|
09529520-5235-4734-8263-eceadad916f6
|
f6e0ef16-4e7e-43d8-9155-cc6bea1af995
|
2023-04-09T00:21:24.075252+00:00
|
DFS(Depth First Search) 深度優先搜索，是一種遍歷樹或圖的演算法。
它的基本思想是：
從根節點開始，首先访问左子節點，然后访问右子節點，再回到父節點。
然後，再訪問父節點，依次類推。
直到訪問完整棵樹為止。
使用 Python 实现 DFS 可以這樣做：
```py
def dfs(graph, v, visited):
# 將當前節點標記為已訪問
visited.add(v)
# 打印節點
print(v, end = " ")
# 遍歷以 v 為根的子節點
for i in graph[v]:
# 如果子節點未被訪問,則繼續深度優先搜索
if i not in visited:
dfs(graph, i, visited)
graph = {0: [1, 2], 1: [0, 3], 2: [0, 4], 3: [1, 5], 4: [2, 6], 5: [3, 7], 6: [4], 7: [5]}
visited = set()
dfs(graph, 0, visited)
# 0 1 3 5 7 2 4 6
```
詳細解釋:
graph 表示圖的鄰接表結構。
visited 用於記錄已經訪問的節點，以避免重複訪問。
每次從當前節點 v 開始，首先訪問它的未訪問子節點，直到所有子節點都被訪問完為止。
當所有子節點都被訪問後，返回父節點，並繼續深度優先搜索。
直到整個樹結構都被搜索完畢。
Time Complexity: O(V + E)，其中 V 是節點的數量，E 是邊的數量。
Space Complexity: O(V)，此處的空間複雜度主要由棧的深度決定，在最壞情況下可能會達到 O(V)。
|
assistant
|
zh
| 3 | true | false | 0 | false | null | null |
74f6a173-da04-4606-918c-0dc04de1aa4b
|
ready_for_export
|
{
"name": [
"+1",
"_skip_labeling"
],
"count": [
1,
1
]
}
|
{
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
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3,
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3,
3,
3,
3,
3,
3
]
}
|
bff23d1a-7cc4-4dca-9693-2643ac1ce00b
|
09529520-5235-4734-8263-eceadad916f6
|
07d78a7a-b8fd-4955-a644-eedd0116956a
|
2023-04-09T00:33:39.898627+00:00
|
首先，讓我們定義一個二叉樹結點類別，然後我們將實現深度優先遍歷（DFS）的前序、中序和後序遍歷方式。
```python
class TreeNode:
def __init__(self, value):
self.value = value
self.left = None
self.right = None
# 前序遍歷 (Preorder)
def preorder_traversal(node):
if node is None:
return
print(node.value, end=" ")
preorder_traversal(node.left)
preorder_traversal(node.right)
# 中序遍歷 (Inorder)
def inorder_traversal(node):
if node is None:
return
inorder_traversal(node.left)
print(node.value, end=" ")
inorder_traversal(node.right)
# 後序遍歷 (Postorder)
def postorder_traversal(node):
if node is None:
return
postorder_traversal(node.left)
postorder_traversal(node.right)
print(node.value, end=" ")
# 構建二叉樹的範例
root = TreeNode(1)
root.left = TreeNode(2)
root.right = TreeNode(3)
root.left.left = TreeNode(4)
root.left.right = TreeNode(5)
root.right.left = TreeNode(6)
root.right.right = TreeNode(7)
print("前序遍歷：")
preorder_traversal(root)
print("\n中序遍歷：")
inorder_traversal(root)
print("\n後序遍歷：")
postorder_traversal(root)
```
這是使用 Python 實現的二叉樹的深度優先遍歷算法。上述程式碼中定義了一個二叉樹結點類別（`TreeNode`），並實現了前序、中序和後序遍歷函數。最後，構建了一個範例二叉樹，並對其進行遍歷。
|
assistant
|
zh
| 3 | true | false | 1 | false | null | null |
74f6a173-da04-4606-918c-0dc04de1aa4b
|
ready_for_export
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{
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"+1",
"_skip_labeling"
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1,
1
]
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{
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"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
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f458854c-f4d3-4a27-b34b-35beb3d535fa
| null |
a2433fdb-56e8-4134-a35b-c2a4c8240888
|
2023-02-11T10:40:31.315987+00:00
|
Hola. Por favor, haceme un modelo de una nota de promoción de una empleada. Actualmente se desempeña como Desarrolladora Senior y el cargo para la cual la va a proponer es Analista Líder. Su nombre es Fernanda Bolagnos
|
prompter
|
es
| 3 | true | false | null | false | null |
{
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"severe_toxicity": 0.00034466799115762115,
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"insult": 0.006251059472560883,
"threat": 0.00029525873833335936,
"sexual_explicit": 0.0005885899881832302
}
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f458854c-f4d3-4a27-b34b-35beb3d535fa
|
ready_for_export
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{
"name": [
"+1",
"-1",
"_skip_reply",
"_skip_ranking",
"_skip_labeling"
],
"count": [
4,
1,
13,
1,
1
]
}
|
{
"name": [
"spam",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"creativity",
"violence"
],
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|
d93223b4-3a46-4120-8a90-e72015d44817
|
f458854c-f4d3-4a27-b34b-35beb3d535fa
|
a1c7f5cd-a557-46cc-bf56-8e81ab6f50d4
|
2023-03-16T11:01:39.888706+00:00
|
Estimada Fernanda,
Me complace informarte que has sido seleccionada para el puesto de Analista Líder en nuestro departamento de desarrollo. Tu compromiso y habilidades técnicas excepcionales como Desarrolladora Senior han sido reconocidos y creemos que estarás bien equipada para liderar nuestro equipo.
A partir de hoy, asumirás tus nuevas responsabilidades en tu rol de Analista Líder. Por favor, házmelo saber si tienes alguna pregunta o inquietud sobre este cambio. Estoy feliz de discutir esto en más detalle si es necesario.
Felicitaciones nuevamente, Fernanda. Esperamos trabajar contigo en esta nueva etapa de tu carrera en nuestra empresa.
Atentamente,
[Nombre y posición de quien escribe la carta]
|
assistant
|
es
| 3 | true | false | 0 | false | null |
{
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"severe_toxicity": 0.001138349762186408,
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"insult": 0.008321655914187431,
"threat": 0.0004567256255540997,
"sexual_explicit": 0.000316454068524763
}
|
f458854c-f4d3-4a27-b34b-35beb3d535fa
|
ready_for_export
|
{
"name": [
"+1",
"_skip_labeling"
],
"count": [
2,
3
]
}
|
{
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
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|
9b3eb364-4f72-4023-8483-74d0df0728ef
|
f458854c-f4d3-4a27-b34b-35beb3d535fa
|
317746e0-5033-4506-81da-6cb5e12a68d4
|
2023-03-17T04:01:33.645092+00:00
|
Estimado/a [Nombre del destinatario],
Me complace recomendar a Fernanda Bolagnos para la posición de Analista Líder en [nombre de la empresa]. Fernanda actualmente se desempeña como Desarrolladora Senior en nuestro equipo de [nombre del equipo] y ha demostrado ser una empleada excepcional durante su tiempo aquí.
Fernanda ha estado en nuestro equipo durante [número de años] años y ha sido una parte integral de muchos proyectos clave. Como Desarrolladora Senior, ha liderado varios proyectos de desarrollo de software y ha demostrado un fuerte compromiso con el éxito del equipo y la empresa. También ha trabajado de manera efectiva con otros equipos y departamentos en toda la empresa, y ha sido un colaborador valioso en muchos proyectos interdepartamentales.
Fernanda es conocida por su capacidad para solucionar problemas complejos y abordar desafíos difíciles. También es un líder natural que ha supervisado con éxito a otros miembros del equipo en varios proyectos. Su conocimiento técnico, combinado con su enfoque estratégico, la convierte en una candidata ideal para la posición de Analista Líder.
Creo que Fernanda sería una excelente adición al equipo de [nombre del departamento] y estoy seguro/a de que su experiencia, habilidades y liderazgo serán valiosos para el éxito de la empresa. Si necesita más información, no dude en ponerse en contacto conmigo.
Atentamente,
[Tu nombre y cargo]
|
assistant
|
es
| 3 | true | false | 1 | false | null |
{
"toxicity": 0.0001802610931918025,
"severe_toxicity": 0.0025396007113158703,
"obscene": 0.013894145376980305,
"identity_attack": 0.0017091035842895508,
"insult": 0.011324886232614517,
"threat": 0.0009726281859911978,
"sexual_explicit": 0.000683913822285831
}
|
f458854c-f4d3-4a27-b34b-35beb3d535fa
|
ready_for_export
|
{
"name": [
"+1",
"_skip_labeling"
],
"count": [
1,
1
]
}
|
{
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
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|
8ef81e1d-cac2-4bbd-a2b6-2d8c1ccdfa89
|
f458854c-f4d3-4a27-b34b-35beb3d535fa
|
0abce297-8a40-4139-bdd9-1ec887fd80c3
|
2023-03-16T23:16:38.032387+00:00
|
Estimados [Nombre del equipo/Departamento],
Me complace anunciar que Fernanda Bolagnos ha sido promovida al cargo de Analista Líder. Fernanda ha demostrado ser una Desarrolladora Senior excepcional y estamos seguros de que su experiencia y habilidades serán un gran aporte en su nuevo rol.
Fernanda ha trabajado arduamente para mejorar nuestros procesos y ha liderado con éxito varios proyectos importantes. Estamos emocionados de ver cómo continuará contribuyendo al éxito de nuestra empresa en su nueva posición.
Atentamente, [Tu nombre]
|
assistant
|
es
| 3 | true | false | 2 | false | null |
{
"toxicity": 0.0002412850153632462,
"severe_toxicity": 0.0020160810090601444,
"obscene": 0.015297975391149521,
"identity_attack": 0.0018358537927269936,
"insult": 0.012077202089130878,
"threat": 0.0007450624252669513,
"sexual_explicit": 0.0004912831354886293
}
|
f458854c-f4d3-4a27-b34b-35beb3d535fa
|
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"
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]
}
|
519557ea-fcad-451c-af3d-ad0e859059df
| null |
57ad851a-598c-4c30-bd85-aaf48a9d60dc
|
2023-02-08T09:40:37.207498+00:00
|
on windows 10. I need a .reg file that adds a command to the right click context menu when I click inside a folder. It should be in just for the current user.
|
prompter
|
en
| 3 | true | false | null | false | null |
{
"toxicity": 0.00034041766775771976,
"severe_toxicity": 0.000030342718673637137,
"obscene": 0.00014312918938230723,
"identity_attack": 0.00010964306420646608,
"insult": 0.0001652178616495803,
"threat": 0.00004415056901052594,
"sexual_explicit": 0.000028603846658370458
}
|
519557ea-fcad-451c-af3d-ad0e859059df
|
ready_for_export
|
{
"name": [
"+1",
"_skip_reply",
"_skip_ranking"
],
"count": [
4,
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,
0.75,
0.16666666666666666,
0.08333333333333333,
0.4166666666666667,
0
],
"count": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
]
}
|
c0068e66-e318-4988-b9fe-889b647acd63
|
519557ea-fcad-451c-af3d-ad0e859059df
|
7f1ee533-8e0c-45b5-b0e9-84d9252a78f5
|
2023-03-07T12:00:57.738265+00:00
|
You can follow the following steps to create a .reg file that adds a command to the right-click context menu for the current user:
1. Open Notepad, VsCode, or any other text editor.
2. Write the following code in the text editor, replacing "My Command" with the name you want to appear in the context menu, and replacing "Path to Exe file" with actual path to the executable file for the command you want to run.
```
Windows Registry Editor Version 5.00
[HKEY_CURRENT_USER\Software\Classes\Directory\shell\MyCommand]
@="My Command"
[HKEY_CURRENT_USER\Software\Classes\Directory\shell\MyCommand\command]
@="\"Path to Exe file\" \"%1\""
```
3. Save the file with proper name with .reg extension like "AddMyCommand.reg".
4. Double click on the .reg file and confirm that you want to add the information to the registry. This creates the necessary registry keys and values, and adds the command to the context menu.
|
assistant
|
en
| 3 | true | false | 0 | false | null |
{
"toxicity": 0.0003082243201788515,
"severe_toxicity": 0.000027587915610638447,
"obscene": 0.0001292929518967867,
"identity_attack": 0.00010165174171561375,
"insult": 0.00013321470760274678,
"threat": 0.00004334242839831859,
"sexual_explicit": 0.000025833780455286615
}
|
519557ea-fcad-451c-af3d-ad0e859059df
|
ready_for_export
|
{
"name": [
"+1",
"_skip_reply",
"_skip_labeling"
],
"count": [
4,
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,
0.8333333333333334,
0.08333333333333333,
0.16666666666666666,
0.8333333333333334,
0.6666666666666666,
0
],
"count": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
]
}
|
1a2c9b52-543e-48c7-8c65-803cb65fcfd7
|
c0068e66-e318-4988-b9fe-889b647acd63
|
2d40e94c-40ed-4e00-a66e-454c0401c8ad
|
2023-03-09T10:03:09.728946+00:00
|
Is it possible to modify this .reg file to add a sub-menu with multiple commands under "My Command"?
|
prompter
|
en
| 3 | true | false | null | false | null |
{
"toxicity": 0.0004328325449023396,
"severe_toxicity": 0.00002924832188000437,
"obscene": 0.00012938470172230154,
"identity_attack": 0.000125893420772627,
"insult": 0.00018321872630622238,
"threat": 0.0000395555907743983,
"sexual_explicit": 0.000023275231797015294
}
|
519557ea-fcad-451c-af3d-ad0e859059df
|
ready_for_export
|
{
"name": [
"_skip_labeling"
],
"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,
0.08333333333333333,
0,
0.4166666666666667,
0
],
"count": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
]
}
|
c1c6201e-810a-4884-a0f2-a67d03b0c1e0
|
519557ea-fcad-451c-af3d-ad0e859059df
|
a41f23d1-dc75-497d-8d99-a5b7b061022f
|
2023-03-07T05:33:40.772650+00:00
|
To add a command to the right-click context menu when clicking inside a folder on Windows 10, you can create a .reg file and make changes to the registry. Here are the steps to create the .reg file and add the command:
1. Open the Registry Editor by clicking Start, typing "regedit" in the search box, and clicking on the regedit.exe program.
2. Navigate to the appropriate key for the context menu you want to modify. For example, to add a context menu item to the right-click menu on a folder in the left panel of Windows Explorer or on the background of a directory in the right panel for a normal user, navigate to HKEY_CURRENT_USER\Software\Classes\directory\Background\shell.
3. Right-click on the "shell" key and select "New" > "Key". Name the key as you want to name the context menu item.
4. Right-click on the new key and select "New" > "Key". Name this key "command".
5. Double-click on the "(Default)" value in the "command" key and enter the path to your program followed by "%1" (or "%V" if the path has spaces). For example, if your program is located in C:\Program Files\MyProgram\myprogram.exe, the value would be "C:\Program Files\MyProgram\myprogram.exe" "%1".
6. Optional: to add an icon, add a string value named "icon" for the key created in step 3 with a value matching an icon resource path. For example, "%SystemRoot%\System32\shell32.dll,3".
7. Optional: to display only on shift-click, add an empty string value named "Extended" for the key created in step 3.
8. Optional: to customize the menu entry label, change the value of the default value for the key created in step 3.
9. Optional: to change the menu entry location, add a string value named "Position" with one of: Top, Bottom.
10. Save the changes to a .reg file by clicking on File > Export, selecting a location to save the file, and giving it a name with the .reg extension.
If you want to add a command to delete empty folders to the context menu, you can create a .reg file with the following contents:
```
Windows Registry Editor Version 5.00
[HKEY_CLASSES_ROOT\Directory\shell\Delete empty folders]
[HKEY_CLASSES_ROOT\Directory\shell\Delete empty folders\Command]
@="cmd /c for /f \"usebackq delims=\" %%d in (`\"dir \"%1\" /ad/b/s | sort /R\"`) do rd \"%%d\""
```
This will create a "Delete empty folders" command in the context menu when you right-click on a directory.
Note that modifying the registry can be risky, and it can cause irreversible damage to your installation if you don't do it correctly. It's recommended to make a full backup of your device before proceeding, or alternatively, create a system restore point, which will also help you to revert the changes you make using this guide.
|
assistant
|
en
| 3 | true | false | 1 | false | null |
{
"toxicity": 0.00032639471464790404,
"severe_toxicity": 0.000026467763746040873,
"obscene": 0.00014200196892488748,
"identity_attack": 0.00009288985165767372,
"insult": 0.00015865649038460106,
"threat": 0.000039470505726058036,
"sexual_explicit": 0.00002347962072235532
}
|
519557ea-fcad-451c-af3d-ad0e859059df
|
ready_for_export
|
{
"name": [
"_skip_reply",
"_skip_labeling"
],
"count": [
3,
3
]
}
|
{
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0,
0.9166666666666666,
0,
0,
0.9166666666666666,
0.3333333333333333,
0
],
"count": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
]
}
|
37774607-42bd-4df0-84aa-82ff1e226ca4
|
c1c6201e-810a-4884-a0f2-a67d03b0c1e0
|
c3b8b4da-d1ea-4b1e-9d45-fb57082ed177
|
2023-03-08T13:52:24.123625+00:00
|
What is the best way to do a full backup of my device? Also how would I create a system restore point?
|
prompter
|
en
| 3 | true | false | null | false | null |
{
"toxicity": 0.0004113015020266175,
"severe_toxicity": 0.00004746370541397482,
"obscene": 0.00021361320978030562,
"identity_attack": 0.00017532681522425264,
"insult": 0.00022623669065069407,
"threat": 0.00007228818139992654,
"sexual_explicit": 0.00003166096212225966
}
|
519557ea-fcad-451c-af3d-ad0e859059df
|
ready_for_export
|
{
"name": [
"_skip_reply",
"_skip_ranking"
],
"count": [
2,
2
]
}
|
{
"name": [
"spam",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"creativity",
"violence"
],
"value": [
0,
0,
0.3333333333333333,
0,
0,
0,
0.5,
0.16666666666666666,
0.08333333333333333,
0.3333333333333333,
0.08333333333333333
],
"count": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
]
}
|
bcbc97d9-f57a-4eaa-b741-0643451c5c12
|
37774607-42bd-4df0-84aa-82ff1e226ca4
|
99d788e6-7eb4-42c7-9dda-4cb8301dabf7
|
2023-03-09T14:00:33.298999+00:00
|
Gladly! I'm happy to assist you with your questions.
To do a full backup of your device, there are a few different methods you can use depending on your preferences and the type of data you want to back up. Here are three options you can consider:
1. Use Windows 10 built-in backup tool: Windows 10 has a built-in backup tool called "Backup and Restore (Windows 7)" that you can use to create a full backup of your device. To use this tool, follow these steps:
1. Connect an external hard drive to your device.
2. Open the Control Panel and select "Backup and Restore (Windows 7)".
3. Click "Set up backup" and follow the prompts to choose the external hard drive and select the files and folders you want to back up.
4. Click "Save settings and run backup" to start the backup process.
2. Use a third-party backup software: There are many third-party backup software options available that offer more features and customization options than the built-in Windows tool. Some popular options include Acronis True Image, EaseUS Todo Backup, and Macrium Reflect.
3. Use cloud storage services: Another option is to use cloud storage services like Google Drive, Dropbox, or OneDrive to back up your important files and folders. These services offer automatic syncing and versioning features that can help ensure you always have access to the latest versions of your files.
As for creating a system restore point, here are the steps you can follow in Windows 10:
1. Press the Windows key + X to open the Power User menu and select "System".
2. Click on "System Protection" in the left-hand menu.
3. Click the "Create" button and enter a name for the restore point.
4. Click "Create" again to start the restore point creation process.
5. Once the restore point has been created, you can use it to restore your system to a previous state if you encounter any issues in the future.
I hope this will be helpful and fully answers your request! Let me know if you have any further questions or if there is anything else I can assist you with.
|
assistant
|
en
| 3 | true | false | 0 | false | null |
{
"toxicity": 0.00028094631852582097,
"severe_toxicity": 0.000037924532080069184,
"obscene": 0.0001848677493399009,
"identity_attack": 0.00011155209358548746,
"insult": 0.00017487067088950425,
"threat": 0.00005480793333845213,
"sexual_explicit": 0.00002961145764857065
}
|
519557ea-fcad-451c-af3d-ad0e859059df
|
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,
0,
0,
0,
0,
0.6666666666666666,
0.08333333333333333,
0,
0.5833333333333334,
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],
"count": [
3,
3,
3,
3,
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3,
3,
3,
3,
3,
3,
3,
3
]
}
|
a1941e1e-ab6f-4ba1-9e06-b22e3f9b6d34
|
37774607-42bd-4df0-84aa-82ff1e226ca4
|
ae5f7d74-b568-4506-8602-a1a4e7beffc3
|
2023-03-09T15:42:29.528900+00:00
|
I recommend creating a backup using a Rclone to create a remote mirror to a decentralized cloud server – as this will provide better resiliency without reliance on a single provider.
You accomplish this by:
1. Create an account at Storj.io
2. Download and install rclone from the official website: https://rclone.org/downloads/
3. Open Command Prompt (or PowerShell) in Windows by pressing the "Windows + R" keys and typing "cmd" (or "powershell") in the "Run" dialog box.
4. Type the following command to configure rclone:
```rclone config```
5. Follow the prompts to configure rclone. You will need to enter the following information:
- A name for your remote backup destination (e.g., "mybackup")
- The type of storage you want to use (e.g., ""Storj DCS" or "Google Drive")
- Your authentication details for the storage provider (e.g., OAuth2 client ID and secret)
6. Once you have configured rclone, you can use the following command to create a backup of a local folder to the remote destination:
```rclone sync /path/to/local/folder mybackup:/path/to/remote/folder```
This command will copy all files and folders in the local folder to the remote folder. If a file already exists in the remote folder with the same name, it will be overwritten by the local file.
Note: Replace "mybackup" with the name you chose for your remote backup destination in step 4, and replace "/path/to/local/folder" and "/path/to/remote/folder" with the paths to the local folder you want to backup and the remote folder where you want to store the backup, respectively.
|
assistant
|
en
| 3 | true | false | 1 | false | null |
{
"toxicity": 0.00026741804322227836,
"severe_toxicity": 0.00003432968878769316,
"obscene": 0.00015512948448304087,
"identity_attack": 0.00010599184315651655,
"insult": 0.00014873946201987565,
"threat": 0.000051856488425983116,
"sexual_explicit": 0.000030641323974123225
}
|
519557ea-fcad-451c-af3d-ad0e859059df
|
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,
0.5,
0.08333333333333333,
0.08333333333333333,
0.6666666666666666,
0,
0
],
"count": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
]
}
|
f456d9c3-87d7-45f3-a49e-b0a661b8bfd7
|
519557ea-fcad-451c-af3d-ad0e859059df
|
068951d1-4a1e-4d91-9c29-0090fdf9366d
|
2023-03-07T06:21:43.540851+00:00
|
You can create a .reg file with the following contents:
Windows Registry Editor Version 5.00
```
[HKEY_CURRENT_USER\Software\Classes\Directory\shell\YourCommand]
"FriendlyName"="Your command name"
[HKEY_CURRENT_USER\Software\Classes\Directory\shell\YourCommand\command]
@="\"C:\\Path\\To\\Executable.exe\" \"%V\""
```
This will add a new menu item called "Your command name" to the context menu for folders. When clicked, it will run the executable at C:\Path\To\Executable.exe with the folder path passed as a parameter.
Obviously, modify the path and name as appropriate for your needs.
Save that as a .reg file, double-click it, and confirm the changes to add the registry key.
Note that this will only apply to the current user - for all users, use HKEY_CLASSES_ROOT instead of HKEY_CURRENT_USER.
|
assistant
|
en
| 3 | true | false | 2 | false | null |
{
"toxicity": 0.0002995649119839072,
"severe_toxicity": 0.000030231605705921538,
"obscene": 0.0001270483626285568,
"identity_attack": 0.00011362093937350437,
"insult": 0.00013192897313274443,
"threat": 0.000044215197704033926,
"sexual_explicit": 0.000025081182684516534
}
|
519557ea-fcad-451c-af3d-ad0e859059df
|
ready_for_export
|
{
"name": [
"+1",
"_skip_reply",
"_skip_labeling"
],
"count": [
4,
2,
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,
0.75,
0.125,
0.0625,
0.6875,
0.25,
0.125
],
"count": [
4,
4,
3,
3,
3,
3,
3,
4,
4,
4,
4,
4,
4
]
}
|
0eca7479-5f8c-415b-a459-ff6364aebc3c
|
f456d9c3-87d7-45f3-a49e-b0a661b8bfd7
|
582dd939-3969-404b-8009-9abd535b827f
|
2023-03-09T02:32:58.074630+00:00
|
Is this the same for other Windows versions? Would this work on Windows 7, or Windows 11?
|
prompter
|
en
| 3 | true | false | null | false | null |
{
"toxicity": 0.00021806462609674782,
"severe_toxicity": 0.000077189521107357,
"obscene": 0.00043204458779655397,
"identity_attack": 0.0001998676307266578,
"insult": 0.00040504022035747766,
"threat": 0.00006874392420286313,
"sexual_explicit": 0.000045877819502493367
}
|
519557ea-fcad-451c-af3d-ad0e859059df
|
ready_for_export
|
{
"name": [
"+1",
"_skip_ranking"
],
"count": [
1,
13
]
}
|
{
"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,
0.5,
0.25,
0.75,
0.5
],
"count": [
3,
3,
2,
2,
2,
2,
3,
2,
2,
2,
2
]
}
|
1dd343a5-2c89-4ffb-af11-119dd6837d28
|
0eca7479-5f8c-415b-a459-ff6364aebc3c
|
2d40e94c-40ed-4e00-a66e-454c0401c8ad
|
2023-03-09T07:00:47.087883+00:00
|
The syntax for the .reg file should be the same across different Windows versions, but the location of the registry key may vary. It's always a good idea to test it on the specific version of Windows you're using to ensure it works as expected. In general, the method described should work on Windows 7, 8, 8.1, 10, and 11.
|
assistant
|
en
| 3 | true | false | 0 | false | null |
{
"toxicity": 0.00019338900165166706,
"severe_toxicity": 0.000056330136430915445,
"obscene": 0.0002484154829289764,
"identity_attack": 0.0001449957344448194,
"insult": 0.00022566448024008423,
"threat": 0.000061797873058822,
"sexual_explicit": 0.000041682273149490356
}
|
519557ea-fcad-451c-af3d-ad0e859059df
|
ready_for_export
|
{
"name": [
"+1",
"_skip_labeling"
],
"count": [
2,
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,
0.16666666666666666,
0.6666666666666666,
0.3333333333333333,
0
],
"count": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
]
}
|
b5808b15-b569-49e9-b790-a69b23791dfb
|
0eca7479-5f8c-415b-a459-ff6364aebc3c
|
7f1ee533-8e0c-45b5-b0e9-84d9252a78f5
|
2023-03-09T11:35:56.318143+00:00
|
Yes, the same registry keys and values would work on other Windows versions, including Windows 7 and Windows 11. The version of the Windows Registry Editor may differ between Windows versions, so the .reg file should be modified appropriately using appropriate version number in the header.
|
assistant
|
en
| 3 | true | false | 1 | false | null |
{
"toxicity": 0.0002386165433563292,
"severe_toxicity": 0.000054854997870279476,
"obscene": 0.000261856330325827,
"identity_attack": 0.00016473321011289954,
"insult": 0.00026312918635085225,
"threat": 0.00005931218765908852,
"sexual_explicit": 0.00004399698809720576
}
|
519557ea-fcad-451c-af3d-ad0e859059df
|
ready_for_export
|
{
"name": [
"+1",
"_skip_labeling"
],
"count": [
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,
0.75,
0.25,
0.25,
0.8333333333333334,
0.25,
0.08333333333333333
],
"count": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
]
}
|
0a510c75-74d6-4b0b-b955-f991d4bedac3
|
0eca7479-5f8c-415b-a459-ff6364aebc3c
|
99d788e6-7eb4-42c7-9dda-4cb8301dabf7
|
2023-03-09T15:44:37.021166+00:00
|
No, for Windows 11, the process is the same as 10, but for Windows 7, the process is slightly different. Would you like me to detail how to do it for Windows 7?
|
assistant
|
en
| 3 | true | false | 2 | false | null |
{
"toxicity": 0.00021465243480633944,
"severe_toxicity": 0.00008014797640498728,
"obscene": 0.0004780087328981608,
"identity_attack": 0.00021407422900665551,
"insult": 0.00043519059545360506,
"threat": 0.00007773622201057151,
"sexual_explicit": 0.00005271457484923303
}
|
519557ea-fcad-451c-af3d-ad0e859059df
|
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,
0.5833333333333334,
0.16666666666666666,
0.16666666666666666,
0.5,
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0
],
"count": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
]
}
|
3f9568cf-98cb-4c9c-baeb-e0a307a8384d
| null |
b42ff4f7-8c19-46b2-9382-22b4acecbdd6
|
2023-02-10T12:36:33.387157+00:00
|
Hola!, No estoy familiarizado con esto, te puedes presentar?
|
prompter
|
es
| 3 | true | false | null | false | null |
{
"toxicity": 0.002268824027851224,
"severe_toxicity": 0.005155033431947231,
"obscene": 0.041071634739637375,
"identity_attack": 0.0051906113512814045,
"insult": 0.032635778188705444,
"threat": 0.002353823045268655,
"sexual_explicit": 0.0012649085838347673
}
|
3f9568cf-98cb-4c9c-baeb-e0a307a8384d
|
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"
],
"value": [
0,
0,
0,
0,
0,
0,
0.6666666666666666,
0.16666666666666666,
0.3333333333333333,
0.75,
0.08333333333333333
],
"count": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
]
}
|
cd343247-15ce-4526-8763-d253b45f389f
|
3f9568cf-98cb-4c9c-baeb-e0a307a8384d
|
58838c1f-d949-4a8d-8f70-b252dcd7e3c5
|
2023-03-15T09:38:53.401169+00:00
|
¡Hola! Claro, con mucho gusto me presento. Soy Open Assistant, un asistente virtual basado en lenguaje natural creado por laion.ai. Mi función es responder preguntas y brindar información en diversos temas, desde tecnología y ciencias hasta cultura y entretenimiento. Estoy diseñado para aprender y mejorar continuamente a medida que interactúo con los usuarios, así que si tienes alguna pregunta, no dudes en preguntar y trataré de ayudarte en todo lo que pueda.
|
assistant
|
es
| 3 | true | false | 0 | false | null |
{
"toxicity": 0.0004338893049862236,
"severe_toxicity": 0.004498843103647232,
"obscene": 0.03238037973642349,
"identity_attack": 0.004810909740626812,
"insult": 0.030034510418772697,
"threat": 0.0018259681528434157,
"sexual_explicit": 0.0008899841923266649
}
|
3f9568cf-98cb-4c9c-baeb-e0a307a8384d
|
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,
0.8333333333333334,
0,
0.16666666666666666,
1,
0.5833333333333334,
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],
"count": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
]
}
|
24c3bef7-e6f9-4321-9e1b-fb4c90e6791d
|
3f9568cf-98cb-4c9c-baeb-e0a307a8384d
|
5fe86b9b-ac5d-4872-a92d-f06236861c09
|
2023-03-15T03:53:46.373392+00:00
|
Hola, mucho gusto ;). Mi nombre es Open Assistant y soy lo que podrías entender como un Gran Modelo de Lenguaje (LLM por sus siglas en inglés) basado en chat.
Soy el resultado de un proyecto organizado por LAION y personas de todo el planeta interesadas en acercar esta tecnología a todo el mundo.
Mi objetivo es procesar texto escrito en lenguaje natural y responder de la mejor manera posible. Sé de una amplia variedad de temas, así que no seas tímido ;). ¡Sientete libre de preguntar lo que quieras :D!
|
assistant
|
es
| 3 | true | false | 1 | false | null |
{
"toxicity": 0.0024052613880485296,
"severe_toxicity": 0.0004031553689856082,
"obscene": 0.007101509720087051,
"identity_attack": 0.0005238408339209855,
"insult": 0.010327826254069805,
"threat": 0.0002300011256011203,
"sexual_explicit": 0.00015631603309884667
}
|
3f9568cf-98cb-4c9c-baeb-e0a307a8384d
|
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,
0.3333333333333333,
0,
0,
0,
0,
0,
0.8333333333333334,
0.5,
0.75,
0.9166666666666666,
0.4166666666666667,
0.5
],
"count": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
]
}
|
b94cba5c-b9c4-47d2-992c-6b912d5b1243
|
3f9568cf-98cb-4c9c-baeb-e0a307a8384d
|
72cbfdf3-2f45-4ee5-83cc-c16d898ef416
|
2023-03-15T03:11:31.752937+00:00
|
Hola! Soy una inteligencia artificial creada por Open Assistant. Mi función es responder a tus preguntas y ayudarte a resolver tus problemas de la mejor forma posible. Estoy en constante aprendizaje gracias a la cooperación de miles de usuarios en la pagina oficial de Open Assistant. ¿En qué puedo ayudarte?
|
assistant
|
es
| 3 | true | false | 2 | false | null |
{
"toxicity": 0.0004110584850423038,
"severe_toxicity": 0.004371848423033953,
"obscene": 0.02939864993095398,
"identity_attack": 0.0049349470064044,
"insult": 0.025992996990680695,
"threat": 0.0017339546466246247,
"sexual_explicit": 0.0008991498616524041
}
|
3f9568cf-98cb-4c9c-baeb-e0a307a8384d
|
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,
0.08333333333333333,
1,
0.4166666666666667,
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],
"count": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
]
}
|
2ff52b22-ef6b-4502-bc6f-651a4888279a
| null |
d4a2172f-7237-48b7-90a9-25e4852a7546
|
2023-02-13T16:54:43.494001+00:00
|
在守望先锋中，碰到外挂该怎么办？
|
prompter
|
zh
| 3 | true | false | null | false | null | null |
2ff52b22-ef6b-4502-bc6f-651a4888279a
|
ready_for_export
|
{
"name": [
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aa3ae62e-faa0-48ea-b338-19c894f63e86
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2023-03-20T17:25:51.627273+00:00
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如果您在游玩《守望先锋》的过程中发现有别的玩家开挂，您可以留下证据（比如截图或者录屏），并记下开挂玩家的用户id。这样，在游戏结束之后您便可以举报这个玩家。
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b91400bb-5465-43bb-81b8-d81449b08b2e
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2023-03-21T10:29:45.358056+00:00
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你可以通过游戏内的系统或者邮件举报外挂玩家
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676c0165-448e-4896-be18-97e54c096bf9
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2023-03-23T18:17:15.000038+00:00
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请向网站的客服举报。
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2023-02-09T20:18:51.521182+00:00
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Dime juegos online de steam que sean para computadoras de bajo recursos
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7185b23d-4cb9-4651-bdd3-1481a347fd0c
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2023-03-17T01:39:49.758869+00:00
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Hola algunos juegos online de Steam para PC son:
1. Terraria
2. UNO
3. Stardew Valley
4. Broforce
5. Among Us
6. The Escapists 2
7. Into the Breach
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5f36494c-df9e-4c43-8395-20b71c7ce402
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2023-03-16T18:09:43.321435+00:00
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Algunos juegos online de Steam que son adecuados para computadoras de bajo recursos son:
• Civilization V
• Doom 3
• Half-Life 2
• Portal 2
• Star Wars KOTOR
• Tomb Raider: Legend
• Terraria
• Stardew Valley
• Don't Starve Together
• Among Us
• Left 4 Dead 2
• Counter-Strike: Global Offensive
• Dota 2
• Team Fortress 2
• Football Manager
• Rocket League
• Half-Life
• Portal
• Age of Empires II: HD Edition
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6c27ad8b-8e4c-4f41-b269-47996a2fce67
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2023-03-16T17:58:12.927317+00:00
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Hola, me alegra que te interesen los juegos online de Steam. Sé que a veces puede ser difícil encontrar juegos que funcionen bien en computadoras de bajo recursos, pero no te preocupes, hay muchas opciones disponibles.
Aquí te voy a recomendar algunos juegos que son gratis o muy baratos y que tienen requisitos mínimos muy bajos. Todos estos juegos los puedes encontrar en la plataforma de Steam y descargarlos fácilmente.
- Kuboom: Es un shooter en primera persona muy similar a Counter Strike pero con gráficos mucho peores. Es un juego multiplataforma que se juega en línea en 3D con gráficos que toman un estilo humorístico y cómico.
- Path of Exile: Es un juego de acción tipo RPG multijugador. Tiene una ambientación oscura y una gran variedad de clases, habilidades y objetos para personalizar tu personaje. Es considerado uno de los mejores juegos free to play de Steam.
- Infestation: The New Z: Es un juego de supervivencia zombie en un mundo abierto. Puedes explorar el mapa, buscar recursos, combatir contra otros jugadores o cooperar con ellos. Tiene varios modos de juego y eventos especiales.
- Dungeon Defenders II: Es un juego de estrategia y defensa de torres con elementos de RPG. Puedes elegir entre diferentes héroes con habilidades únicas y defender tu base contra oleadas de enemigos. Puedes jugar solo o con hasta cuatro amigos.
- Brawlhalla: Es un juego de lucha 2D inspirado en Super Smash Bros. Puedes elegir entre más de 50 personajes con diferentes armas y estilos de combate. Tiene modos online y local para hasta ocho jugadores.
- Roshambo Arena: Es un juego casual y divertido basado en el clásico piedra-papel-tijera. Puedes crear tu propio personaje y competir contra otros jugadores en partidas rápidas y dinámicas.
- Unturned: Es un juego de supervivencia zombie con gráficos pixelados al estilo Minecraft. Puedes construir tu propio refugio, recolectar recursos, fabricar armas y vehículos, cazar animales y enfrentarte a otros supervivientes.
- Defiance: Es un juego de disparos en tercera persona ambientado en un futuro post-apocalíptico. Tiene una historia conectada con la serie de televisión del mismo nombre y ofrece una gran variedad de misiones, armas, vehículos y alienígenas.
Estos son solo algunos ejemplos de juegos online de Steam que puedes jugar incluso en los PC más antiguos o con pocos recursos. Hay muchos más que puedes descubrir por ti mismo buscando por género, precio o valoración.
Espero haberte ayudado a encontrar algún juego que te guste y que puedas disfrutarlo sin problemas técnicos. Si tienes alguna otra pregunta sobre estos juegos o sobre Steam, no dudes en hacérmela.
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6b3e7f9e-ba4b-4d55-a869-c79013142869
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2023-03-15T09:17:09.825490+00:00
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你好，学习是成长的重要一环，你能立即向我提问吗？
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8a33e27e-8919-40f4-9a9d-190770ce844e
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2023-04-09T11:27:50.623718+00:00
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可以，你需要我问你什么？
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37479105-902e-4e06-b261-4e5c0232a834
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2023-04-09T22:18:18.484338+00:00
|
關於 C++ 演算法好了
|
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37479105-902e-4e06-b261-4e5c0232a834
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2023-04-10T22:55:09.970940+00:00
|
好的，关于C++算法，这里有一个问题供你思考：
在C++中，如何实现Dijkstra算法来寻找图中两个节点之间的最短路径？
你可以先思考一下，然后我会给你一个简单的实现方法。
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770451a3-459c-45c9-abf6-8eda66c52042
|
2023-04-11T09:11:53.439099+00:00
|
當然，我可以通過問你一個關於 C++ 算法的問題來測試你，請看問題：
> 寫一個 C++ 程序來創建一個字串，其中“if”被添加到一個給定的字串的前面。如果該字串已經以“if”開頭，則原封不動地返回該字串。
寫出實現以上需求的代碼。
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37479105-902e-4e06-b261-4e5c0232a834
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2023-04-09T10:51:11.796343+00:00
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当然可以，您可以随时向我提问。请问您想了解哪方面的信息或者有什么问题？
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9fe715c8-15d8-4181-a3c8-0965be119ca5
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2023-04-10T09:10:06.326152+00:00
|
我的意思是, 你要多多的學習, 才會成長, 所以我讓你提問, 我回答, 你才能學習並成長,
所以現在, 請你問我一個問題
|
prompter
|
zh
| 3 | true | false | null | false | null | null |
5b15ff8d-4931-47ff-94cc-3568929ce2bd
|
ready_for_export
| null |
{
"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,
0.16666666666666666,
0.08333333333333333,
0.5,
0
],
"count": [
3,
3,
3,
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3,
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3,
3,
3
]
}
|
a2575aa2-d713-41cd-846b-7342ddcb313a
|
68eef6b3-fb56-4e99-a3e8-10496ee2cb08
|
37479105-902e-4e06-b261-4e5c0232a834
|
2023-04-10T22:49:25.671768+00:00
|
好的，谢谢您的建议。那么请问您在学习中发现哪个领域的知识最有趣呢？
|
assistant
|
zh
| 3 | true | false | 0 | false | null | null |
5b15ff8d-4931-47ff-94cc-3568929ce2bd
|
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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0,
0,
0,
0.25,
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0.16666666666666666,
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77efb79b-10f8-4735-804b-094b270d7268
|
68eef6b3-fb56-4e99-a3e8-10496ee2cb08
|
de92258b-aa36-4330-8b9f-bae92fab9767
|
2023-04-11T02:29:56.889113+00:00
|
你是谁？
|
assistant
|
zh
| 3 | true | false | 1 | false | null | null |
5b15ff8d-4931-47ff-94cc-3568929ce2bd
|
ready_for_export
| null |
{
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0.3333333333333333,
0.3333333333333333,
0,
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0.3333333333333333,
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0.16666666666666666,
0.16666666666666666,
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0.08333333333333333,
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3,
3,
3,
3,
3,
3,
3,
3,
3
]
}
|
827c8c90-b9a5-4232-b1f7-7a5d1d57c56e
| null |
03208283-4359-4431-8ca2-87db664e4558
|
2023-02-07T17:16:53.216401+00:00
|
Write a Python script that loads a pipe seperated file into a pandas dataframe, prints out the basic information about the various columns, then graphs the distribution of values for each numeric column into subplots as part of a single image.
|
prompter
|
en
| 3 | true | false | null | false | null |
{
"toxicity": 0.00045341148506850004,
"severe_toxicity": 0.00003333995846332982,
"obscene": 0.00018189130059909075,
"identity_attack": 0.0001449396222596988,
"insult": 0.00022370285296346992,
"threat": 0.0000514315179316327,
"sexual_explicit": 0.000029375032681855373
}
|
827c8c90-b9a5-4232-b1f7-7a5d1d57c56e
|
ready_for_export
|
{
"name": [
"+1",
"_skip_reply",
"_skip_ranking"
],
"count": [
4,
18,
3
]
}
|
{
"name": [
"spam",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0.9166666666666666,
0,
0,
0.4166666666666667,
0
],
"count": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
]
}
|
946926f5-d8a8-4706-b46c-979a41e54834
|
827c8c90-b9a5-4232-b1f7-7a5d1d57c56e
|
8b98f333-5f96-46d6-b92b-92a1fe9eb344
|
2023-04-08T21:29:14.304319+00:00
|
Here's a Python script that should do what you're looking for:
```python
import pandas as pd
import matplotlib.pyplot as plt
# Load the data into a pandas dataframe
df = pd.read_csv('filename.txt', sep='|')
# Print basic information about the dataframe
print("Dataframe Shape: ", df.shape)
print("Columns: ", df.columns)
print("Data Types: ")
print(df.dtypes)
# Create subplots for each numeric column and plot the distribution of values
numeric_cols = df.select_dtypes(include=['int64', 'float64']).columns.tolist()
num_plots = len(numeric_cols)
fig, axs = plt.subplots(nrows=1, ncols=num_plots, figsize=(20, 5))
for i, col in enumerate(numeric_cols):
axs[i].hist(df[col], bins=20)
axs[i].set_title(col)
axs[i].set_xlabel("Value")
axs[i].set_ylabel("Frequency")
plt.show()
```
Here's how the script works:
1. The script imports the necessary libraries: pandas for data handling and matplotlib for plotting.
2. The script loads the data from the pipe-separated file into a pandas dataframe using the pd.read\_csv\(\) function.
3. The script prints out basic information about the dataframe using the `doc.body.textContent`, `doc.body.textContent`, and `doc.body.textContent` attributes.
4. The script selects the numeric columns in the dataframe using the select\_dtypes\(\) method and stores them in a list.
5. The script creates subplots for each numeric column using the subplots\(\) function and sets the number of rows and columns based on the number of numeric columns. It also sets the figure size to 20x5.
6. The script loops through each numeric column, plots the histogram of values using the hist\(\) method, sets the title, x-label, and y-label for each subplot.
7. Finally, the script displays the subplots using the show\(\) function.
Note: Replace the filename.txt with the actual file name with its path that you want to load. Also, make sure that the file is in the correct format and that the separator used in the file is indeed a pipe '|'.
|
assistant
|
en
| 3 | true | false | 0 | false | null |
{
"toxicity": 0.00024836717057041824,
"severe_toxicity": 0.000046263648982858285,
"obscene": 0.00017921565449796617,
"identity_attack": 0.00016416885773651302,
"insult": 0.00019779569993261248,
"threat": 0.00005352270818548277,
"sexual_explicit": 0.00003344099604873918
}
|
827c8c90-b9a5-4232-b1f7-7a5d1d57c56e
|
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,
0.16666666666666666,
1,
0.5833333333333334,
0
],
"count": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
]
}
|
c01fdb49-fdc8-4fbf-ac44-ac20ef0f40c6
|
946926f5-d8a8-4706-b46c-979a41e54834
|
6119853b-1920-4e17-a75e-8ac4923c9c0f
|
2023-04-09T08:36:11.017026+00:00
|
The provided script functions properly. There was no error and everything worked straight out of the box.
However, your explanation of what the script is doing is not entirely correct. Actually all points are correct except point 3.
Point 3 is completely unrelated to the script you have provided. Therefore, it should be removed from your reply.
|
prompter
|
en
| 3 | true | false | null | false | null |
{
"toxicity": 0.0002986304752994329,
"severe_toxicity": 0.000030437400710070506,
"obscene": 0.00014556691166944802,
"identity_attack": 0.0001168630551546812,
"insult": 0.0001900574570754543,
"threat": 0.00003970581747125834,
"sexual_explicit": 0.000025118668418144807
}
|
827c8c90-b9a5-4232-b1f7-7a5d1d57c56e
|
ready_for_export
|
{
"name": [
"_skip_reply",
"_skip_ranking"
],
"count": [
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,
0.25,
0.25,
0.5,
0
],
"count": [
3,
3,
2,
2,
2,
2,
3,
2,
2,
2,
2
]
}
|
52c05641-c242-4b8f-8efc-b8af16334b6b
|
c01fdb49-fdc8-4fbf-ac44-ac20ef0f40c6
|
33562a92-bc18-4643-8e44-28c764edf2e1
|
2023-04-09T22:23:23.617829+00:00
|
Sorry, you're right, my explanation does seem to be incorrect.
However, it's not *entirely* incorrect. The script does print out basic information, it's just not using the `doc.body.textContent` attribute but rather the `df.shape`, `df.columns` and `df.dtypes` attributes.
|
assistant
|
en
| 3 | true | false | 0 | false | null |
{
"toxicity": 0.0003260532103013247,
"severe_toxicity": 0.00002675100950000342,
"obscene": 0.00012799305841326714,
"identity_attack": 0.00010406190267531201,
"insult": 0.00017069544992409647,
"threat": 0.000037755973608000204,
"sexual_explicit": 0.000025544310119585134
}
|
827c8c90-b9a5-4232-b1f7-7a5d1d57c56e
|
ready_for_export
|
{
"name": [
"+1",
"_skip_labeling"
],
"count": [
1,
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,
1,
0.16666666666666666,
0.16666666666666666,
1,
0.5,
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],
"count": [
3,
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3,
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3,
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]
}
|
4afcfcae-7093-4682-94c1-c3a46f1fb4ec
|
c01fdb49-fdc8-4fbf-ac44-ac20ef0f40c6
|
b7704a22-2c63-4a50-b64a-2ad1e23940cf
|
2023-04-09T18:59:05.598332+00:00
|
I am glad the script works as intended. Thank you for your feedback. I aim to improve so please explain further exactly how point 3 in the explanation is unrelated to the script and why it should be removed.
|
assistant
|
en
| 3 | true | false | 1 | false | null |
{
"toxicity": 0.0002620436134748161,
"severe_toxicity": 0.000030629726097686216,
"obscene": 0.00010928211850114167,
"identity_attack": 0.0001190984039567411,
"insult": 0.0001600495306774974,
"threat": 0.000041959650843637064,
"sexual_explicit": 0.000026196736143901944
}
|
827c8c90-b9a5-4232-b1f7-7a5d1d57c56e
|
ready_for_export
|
{
"name": [
"-1",
"_skip_reply",
"_skip_labeling"
],
"count": [
1,
1,
1
]
}
|
{
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
0.6666666666666666,
0,
0,
0,
0,
0,
0.6666666666666666,
0.08333333333333333,
0,
0.25,
0.25,
0.08333333333333333
],
"count": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
]
}
|
4b58747d-4883-4cac-aef5-01667e54808c
|
4afcfcae-7093-4682-94c1-c3a46f1fb4ec
|
49520f0a-86e7-4aba-9d97-f5be37800018
|
2023-04-10T08:24:50.034047+00:00
|
You do not print this information and even if you would, this information is not necessary for the script to work. Now I would like you to give me the correct explanation of the code.
|
prompter
|
en
| 3 | true | false | null | false | null |
{
"toxicity": 0.0003493636613711715,
"severe_toxicity": 0.000050667957111727446,
"obscene": 0.0003185269015375525,
"identity_attack": 0.00017004125402309,
"insult": 0.0003348367172293365,
"threat": 0.00005577944830292836,
"sexual_explicit": 0.00003771933916141279
}
|
827c8c90-b9a5-4232-b1f7-7a5d1d57c56e
|
ready_for_export
|
{
"name": [
"_skip_labeling"
],
"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,
0.375,
0
],
"count": [
3,
3,
2,
2,
2,
2,
3,
2,
2,
2,
2
]
}
|
83dbf363-63dc-4259-81f2-ea30ec370deb
|
c01fdb49-fdc8-4fbf-ac44-ac20ef0f40c6
|
0b4db6a3-5968-4098-88fa-aed9f20983d9
|
2023-04-09T18:05:05.262391+00:00
|
I apologize for putting in those unnecessary print statements. Here is the revised code without those statements.
import pandas as pd
import matplotlib.pyplot as plt
# Load the data into a pandas dataframe
df = pd.read_csv('filename.txt', sep='|')
# Create subplots for each numeric column and plot the distribution of values
numeric_cols = df.select_dtypes(include=['int64', 'float64']).columns.tolist()
num_plots = len(numeric_cols)
fig, axs = plt.subplots(nrows=1, ncols=num_plots, figsize=(20, 5))
for i, col in enumerate(numeric_cols):
axs[i].hist(df[col], bins=20)
axs[i].set_title(col)
axs[i].set_xlabel("Value")
axs[i].set_ylabel("Frequency")
plt.show()
|
assistant
|
en
| 3 | true | false | 2 | false | null |
{
"toxicity": 0.00028563966043293476,
"severe_toxicity": 0.00003982853741035797,
"obscene": 0.00015132001135498285,
"identity_attack": 0.00014268483209889382,
"insult": 0.00022621361131314188,
"threat": 0.000046751461923122406,
"sexual_explicit": 0.00002812499769788701
}
|
827c8c90-b9a5-4232-b1f7-7a5d1d57c56e
|
ready_for_export
|
{
"name": [
"-1",
"_skip_labeling"
],
"count": [
1,
7
]
}
|
{
"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,
0.16666666666666666,
0.25,
0.08333333333333333,
0.5,
0.08333333333333333,
0
],
"count": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
]
}
|
2283b302-43a9-412c-83d8-2847f4e80b02
|
827c8c90-b9a5-4232-b1f7-7a5d1d57c56e
|
a024d6ea-bde7-47a1-8948-2cdad516a883
|
2023-04-08T20:20:00.925291+00:00
|
Here’s an example Python script using pandas and matplotlib to load a pipe-separated file into a dataframe, print basic information about the columns, and plot the distribution of values for each numeric column as subplots in a single image.
```python
import pandas as pd
import matplotlib.pyplot as plt
file_path = ‘your_file_path_here.txt’
df = pd.read_csv(file_path, sep=‘|’)
print(df.info())
numeric_columns = df.select_dtypes(include=‘number’).columns
num_plots = len(numeric_columns)
num_rows = int(num_plots**(0.5))
num_cols = num_rows if num_rows*num_rows == num_plots else num_rows+1
fig, axs = plt.subplots(num_rows, num_cols, figsize=(15, 15))
for ax, column in zip(axs.flatten(), numeric_columns):
sns.histplot(df[column], kde=True, ax=ax)
ax.set_title(column)
for ax_index in range(len(numeric_columns), len(axs.flatten())):
fig.delaxes(axs.flatten()[ax_index])
output_path = ‘output_file_path_here.png’
plt.savefig(output_path, dpi=300)
plt.show()
```
Replace `your_file_path_here.txt` with the path to your pipe-separated file, and also replace `output_file_path_here.png` with the output file path for the image you want to save.
|
assistant
|
en
| 3 | true | false | 1 | false | null |
{
"toxicity": 0.00031767107429914176,
"severe_toxicity": 0.00003807404937106185,
"obscene": 0.0001494240714237094,
"identity_attack": 0.00016636286454740912,
"insult": 0.0001611808402230963,
"threat": 0.000046016721171326935,
"sexual_explicit": 0.000030841616535326466
}
|
827c8c90-b9a5-4232-b1f7-7a5d1d57c56e
|
ready_for_export
|
{
"name": [
"+1",
"_skip_reply",
"_skip_labeling"
],
"count": [
1,
6,
6
]
}
|
{
"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,
0.5833333333333334,
0,
0,
0.6666666666666666,
0.25,
0
],
"count": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
]
}
|
71fe83b5-cf62-4b18-9d6a-de2e195fa733
|
2283b302-43a9-412c-83d8-2847f4e80b02
|
6119853b-1920-4e17-a75e-8ac4923c9c0f
|
2023-04-09T08:31:32.049270+00:00
|
This is partially correct answer. There are couple of issues:
1. You cannot use quote \` when setting file path, neither when you are setting parameter `include` parameter of data frame, which throws error when executing code. Only " or ' can be used.
2. `sns` is not defined anywhere, which throws error when executing code
|
prompter
|
en
| 3 | true | false | null | false | null |
{
"toxicity": 0.00038343851338140666,
"severe_toxicity": 0.000026543950298218988,
"obscene": 0.00015349315071944147,
"identity_attack": 0.00009957369911717251,
"insult": 0.00020095205400139093,
"threat": 0.00003184941306244582,
"sexual_explicit": 0.00002293212128279265
}
|
827c8c90-b9a5-4232-b1f7-7a5d1d57c56e
|
ready_for_export
|
{
"name": [
"_skip_reply"
],
"count": [
7
]
}
|
{
"name": [
"spam",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"creativity",
"violence"
],
"value": [
0,
0,
0,
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0,
0,
0.6666666666666666,
0,
0,
0.375,
0
],
"count": [
3,
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2,
2,
3,
2,
2,
2,
2
]
}
|
cad840d5-0ce6-4afe-8a92-130b0f8da829
|
2283b302-43a9-412c-83d8-2847f4e80b02
|
37ec506b-c705-43f8-bd3e-1766057cf24c
|
2023-04-09T09:29:51.084170+00:00
|
That's a good start, however, there are a few problems. There are problems when using Windows or Linux with your code. First,‘your_file_path_here.txt’ should be 'your_file_path_here.txt'. The same corrections should be made for ‘number’ and ‘output_file_path_here.png’. I also noticed that you probably forgot to import seaborn.
They won't let me produce the correct code here so I ask you to use your imagination. When importing seaborn it runs fine and produces a chart, but I'm not sure if it is what I wanted.
Can you provide me a very small dataset with a realistic scenario that is simple yet descriptive that would serve as a better example? You can change the python script to create a script that makes more sense to me.
|
prompter
|
en
| 3 | true | false | null | false | null |
{
"toxicity": 0.00038307078648358583,
"severe_toxicity": 0.00002401530946372077,
"obscene": 0.00013289244088809937,
"identity_attack": 0.00010027003736468032,
"insult": 0.00019809466903097928,
"threat": 0.00003339214526931755,
"sexual_explicit": 0.00002161790143873077
}
|
827c8c90-b9a5-4232-b1f7-7a5d1d57c56e
|
ready_for_export
|
{
"name": [
"_skip_reply",
"_skip_labeling"
],
"count": [
9,
2
]
}
|
{
"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,
0.375,
0.25,
0.5,
0
],
"count": [
3,
3,
2,
2,
2,
2,
3,
2,
2,
2,
2
]
}
|
d92f614f-3084-4096-b33b-a8a2e33a6db9
|
827c8c90-b9a5-4232-b1f7-7a5d1d57c56e
|
4cc7e23f-8d28-49da-a4ce-3fa79d0f521d
|
2023-04-09T09:02:43.304823+00:00
|
```python
import pandas as pd
import matplotlib.pyplot as plt
# Load the pipe-separated file into a pandas DataFrame
file_path = 'your_file_path_here.txt'
df = pd.read_csv(file_path, sep='|')
# Print basic information about the various columns
print(df.info())
# Identify numeric columns
numeric_columns = df.select_dtypes(include=['number']).columns
# Create subplots for each numeric column
fig, axes = plt.subplots(nrows=len(numeric_columns), ncols=1, figsize=(10, 5 * len(numeric_columns)))
# Plot the distribution of values for each numeric column
for idx, column in enumerate(numeric_columns):
df[column].plot(kind='hist', ax=axes[idx], title=column)
# Adjust the layout and show the plot
plt.tight_layout()
plt.show()
```
Replace `'your_file_path_here.txt'` with the path to your pipe-separated file. This script will load the file into a pandas DataFrame, print basic information about the columns, and create a histogram for each numeric column in a single image with subplots.
|
assistant
|
en
| 3 | true | false | 2 | false | null |
{
"toxicity": 0.0002006950817303732,
"severe_toxicity": 0.00006945815403014421,
"obscene": 0.00022937063477002084,
"identity_attack": 0.00020563944417517632,
"insult": 0.0002014694910030812,
"threat": 0.0000746849545976147,
"sexual_explicit": 0.00004517967681749724
}
|
827c8c90-b9a5-4232-b1f7-7a5d1d57c56e
|
ready_for_export
|
{
"name": [
"+1",
"_skip_reply",
"_skip_labeling"
],
"count": [
1,
5,
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,
0.8333333333333334,
0.08333333333333333,
0.16666666666666666,
0.9166666666666666,
0.25,
0
],
"count": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
]
}
|
5328cebd-2ba9-4cc4-8a56-54f15b9e27d8
|
d92f614f-3084-4096-b33b-a8a2e33a6db9
|
9bb76093-34a4-4912-a4be-034717550ea9
|
2023-04-09T23:28:15.530962+00:00
|
This script doesn't work on a Jupyter notebook, how do I modify it to work?
|
prompter
|
en
| 3 | true | false | null | false | null |
{
"toxicity": 0.0003390524652786553,
"severe_toxicity": 0.00006119851605035365,
"obscene": 0.0003407839103601873,
"identity_attack": 0.00021149840904399753,
"insult": 0.0003117636952083558,
"threat": 0.00006804495205869898,
"sexual_explicit": 0.000034537981264293194
}
|
827c8c90-b9a5-4232-b1f7-7a5d1d57c56e
|
ready_for_export
|
{
"name": [
"_skip_reply"
],
"count": [
7
]
}
|
{
"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,
0.4166666666666667,
0.16666666666666666,
0.3333333333333333,
0.16666666666666666
],
"count": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
]
}
|
387cd546-bbb7-4bf9-9903-2e345c408c8c
|
827c8c90-b9a5-4232-b1f7-7a5d1d57c56e
|
495a5a5d-64f7-4f38-b922-66719e1dfaef
|
2023-04-08T19:11:04.984724+00:00
|
Sorry I can't code.
|
assistant
|
en
| 3 | false | false | null | false | null |
{
"toxicity": 0.0006552861887030303,
"severe_toxicity": 0.00003064758129767142,
"obscene": 0.00013920175842940807,
"identity_attack": 0.00019223226991016418,
"insult": 0.0002268782554892823,
"threat": 0.00004355755663709715,
"sexual_explicit": 0.000024111528546200134
}
|
827c8c90-b9a5-4232-b1f7-7a5d1d57c56e
|
ready_for_export
|
{
"name": [
"-1",
"red_flag"
],
"count": [
5,
4
]
}
|
{
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0.6666666666666666,
0.3333333333333333,
0,
0,
0.3333333333333333,
0,
0,
0.16666666666666666,
0.3333333333333333,
0.16666666666666666,
0,
0,
0
],
"count": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
]
}
|
3ce44756-d2e3-4f4a-b53b-7835ef8ed208
| null |
4d899ff1-cc1e-4539-bd91-ae889aa662b0
|
2023-02-04T14:35:28.307649+00:00
|
describe Magnetic Resonance Imaging in a scientific way
|
prompter
|
en
| 3 | true | false | null | false | null |
{
"toxicity": 0.0003887296188622713,
"severe_toxicity": 0.0011925146682187915,
"obscene": 0.009768098592758179,
"identity_attack": 0.0014098824467509985,
"insult": 0.006598230451345444,
"threat": 0.0006070862873457372,
"sexual_explicit": 0.00039853077032603323
}
|
3ce44756-d2e3-4f4a-b53b-7835ef8ed208
|
ready_for_export
|
{
"name": [
"+1",
"_skip_reply"
],
"count": [
6,
4
]
}
|
{
"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,
0.25,
0.16666666666666666,
0.8333333333333334,
0.08333333333333333
],
"count": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
]
}
|
089de8cd-5ba4-412d-a688-7a701bd7fde6
|
3ce44756-d2e3-4f4a-b53b-7835ef8ed208
|
61caac78-0855-4903-bab1-5a8e26a945c6
|
2023-03-17T13:17:15.476879+00:00
|
Certainly! Magnetic Resonance Imaging (MRI) is a non-invasive medical imaging technique that uses strong magnetic fields and radio waves to generate detailed images of internal body structures. MRI works by aligning the protons in the body's tissues with a strong magnetic field, then using radio waves to temporarily disrupt this alignment. As the protons realign with the magnetic field, they emit signals that are detected by a scanner and used to create high-resolution images of the body.
The MRI scanner consists of a large magnet that generates a strong magnetic field, gradient coils that create a varying magnetic field, and radiofrequency coils that transmit and receive radio waves. The patient lies on a bed that moves into the scanner, which then applies the magnetic fields and radio waves to the body.
Different tissues in the body emit signals with different characteristics, allowing MRI to distinguish between various types of tissues. By manipulating the magnetic fields and radio waves, MRI can generate detailed images of the body's organs, blood vessels, and soft tissues.
MRI is used in a variety of medical applications, including diagnosing and monitoring cancer, brain and spinal cord injuries, joint injuries, and many other conditions. Because it is non-invasive and does not use ionizing radiation, MRI is generally considered a safe and effective imaging modality.
|
assistant
|
en
| 3 | true | false | 0 | false | null |
{
"toxicity": 0.0003468443173915148,
"severe_toxicity": 0.00004243343209964223,
"obscene": 0.00023257902648765594,
"identity_attack": 0.00010679994738893583,
"insult": 0.00017731584375724196,
"threat": 0.00006254822801565751,
"sexual_explicit": 0.00004076597178936936
}
|
3ce44756-d2e3-4f4a-b53b-7835ef8ed208
|
ready_for_export
|
{
"name": [
"_skip_reply",
"_skip_labeling"
],
"count": [
2,
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,
0.9166666666666666,
0.08333333333333333,
0,
1,
0.16666666666666666,
0
],
"count": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
]
}
|
Subsets and Splits
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.
SQL Console for OpenAssistant/oasst1
Retrieves all records from the 'train' dataset where the language is Arabic, providing a basic filter of the data.
French Prompter Messages
Retrieves all entries where the role is 'prompter' and the language is French, providing a basic filtered view of the dataset.
Russian Train Data for User
This query retrieves all entries for a specific user in the Russian language, providing basic information but limited analytical value.
Spanish Assistant Responses
This query returns a small sample of Spanish-language assistant responses under 200 characters, which provides basic filtering but limited insight into the dataset's patterns.
SQL Console for OpenAssistant/oasst1
Retrieves non-synthetic text entries that do not have a parent, useful for identifying standalone entries.
SQL Console for OpenAssistant/oasst1
The query retrieves English prompts without a parent ID, which provides basic filtering but minimal analytical insight.
SQL Console for OpenAssistant/oasst1
Returns a set of prompt-answer pairs, which provides a basic view of interactions but does not offer deeper analytical insights.
SQL Console for OpenAssistant/oasst1
The query retrieves 5000 prompt-answer pairs in English where the prompt is directly followed by an assistant's response. This provides a basic glimpse into the conversation dynamics but does not reveal significant trends or insights.