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96da6029-44c9-45c2-a379-0e35aa3fc762 | edb34a71-9bb3-45b2-bcdc-5f564fc31f4f | 661a56e1-04ca-47e5-b56f-7e8ea2fc5afa | 2023-04-03T19:03:20.267127+00:00 | Puedes encontrar muchas guías de estilo sobre el lenguaje C++ y no todas son exactamente iguales.
Por ejemplo la Universidad de Valencia propone en: http://informatica.uv.es/iiguia/AED/laboratorio/Estilocpp.pdf unas reglas bastante estándar entre las que se incluye:
- El uso correcto de comentarios
- El uso de espaciado
- Elección adecuada de identificadores cortos
- Organización interna del código
- Uso de llaves
etc. | assistant | es | 3 | true | false | 2 | false | null | {
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edb80ccd-73ff-45c8-b6d3-e3e75245d64f | null | 8d9e1f2e-81c5-4095-9df7-ed88ae57169c | 2023-02-05T14:53:55.125704+00:00 | How do I create a database dump for a running elasticsearch 6.8 cluster in AWS? Is it possible to create it using only the command line? | prompter | en | 3 | true | false | null | false | null | {
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35832e1f-0d3b-4170-b5d1-0f4f1fc7142c | edb80ccd-73ff-45c8-b6d3-e3e75245d64f | ae5f7d74-b568-4506-8602-a1a4e7beffc3 | 2023-02-06T03:23:31.040447+00:00 | To create a database dump (also known as a "snapshot") of a running Elasticsearch 6.8 cluster in AWS, you can use the Elasticsearch API and the curl command-line tool.
Here's an example of how you can create a snapshot using the API:
Create a repository: Before creating a snapshot, you need to set up a repository where the snapshot will be stored. You can use the API to create a repository, for example:
```
curl -XPUT '<your-elasticsearch-url>:9200/_snapshot/<repository-name>' -H 'Content-Type: application/json' -d '{
"type": "s3",
"settings": {
"bucket": "<your-s3-bucket>",
"region": "<your-s3-bucket-region>",
"base_path": "<base-path-for-snapshots>"
}
}'
Create the snapshot: Once you have a repository set up, you can use the API to create a snapshot of your cluster:
curl -XPUT '<your-elasticsearch-url>:9200/_snapshot/<repository-name>/<snapshot-name>?wait_for_completion=true'
This will create a snapshot of your entire cluster and store it in the repository.
```
Note: Replace <your-elasticsearch-url>, <repository-name>, <your-s3-bucket>, <your-s3-bucket-region>, <base-path-for-snapshots>, and <snapshot-name> with your specific cluster information.
If you are looking to reduce costs vs AWS, you might consider using an open-source alternative, like Storj.io | assistant | en | 3 | true | false | 0 | false | null | {
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97e0d20a-10d4-4d77-b26c-ae6e5510ef82 | 35832e1f-0d3b-4170-b5d1-0f4f1fc7142c | ecaa4818-48da-45a8-bab5-ae6de585ad8a | 2023-02-06T10:18:12.449409+00:00 | That open source alternative sounds interesting. Can you tell me the difference between it and AWS? Potential problems i should be aware of? | prompter | en | 3 | true | false | null | false | null | {
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5efe6ce8-f5ad-40e4-a447-4aa03a3f35cd | 97e0d20a-10d4-4d77-b26c-ae6e5510ef82 | 2c96e467-66f0-4be7-9693-bda51356a424 | 2023-02-06T16:20:34.182646+00:00 | Storj is an open-source, decentralized, peer-to-peer cloud storage platform. It differs from AWS S3 in a few key ways:
1. Decentralization: Unlike AWS S3, which stores data in a centralized manner on Amazon's servers, Storj uses a network of nodes to store data in a decentralized manner. This means that data is stored on multiple nodes across the network, making it more secure and resilient to failures.
2. Cost: Storj aims to be more cost-effective than AWS S3 by using a decentralized network of nodes to store data. Since the cost of storage is spread across many nodes, Storj is able to offer storage at a lower cost than AWS S3.
3. Privacy: Storj emphasizes privacy and security, using encryption to protect data in transit and at rest. This is in contrast to AWS S3, where data is stored in a centralized manner and may be accessible to Amazon and other third parties.
4. However, there are also some potential problems to be aware of when using Storj, such as:
5. Performance: Since data is stored on multiple nodes across the network, performance may be slower than with AWS S3.
6. Availability: If a node in the Storj network goes down, it may be difficult to retrieve data stored on that node.
7. Interoperability: Storj may not be as compatible with other cloud storage solutions as AWS S3.
8. Uptime: Since Storj relies on a network of nodes, there is a risk of downtime if nodes go offline or if there is a problem with the network.
Ultimately, whether Storj is a better choice than AWS S3 depends on your specific needs and priorities, including cost, performance, privacy, and compatibility. | assistant | en | 3 | true | false | 0 | false | null | {
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14f965db-261d-495a-a1f4-260e2104e74a | 5efe6ce8-f5ad-40e4-a447-4aa03a3f35cd | e10e99a0-38ac-4b07-bf5d-4427696e4e0d | 2023-02-06T18:33:52.748595+00:00 | Could you write me an pitch to my manager that we should switch to that service. Add some trendy technobabble words that will impress him. | prompter | en | 3 | true | false | null | false | null | {
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ac4ddcce-4ef8-41ca-a2e3-072d5602dacc | 97e0d20a-10d4-4d77-b26c-ae6e5510ef82 | fc393a0e-8dcf-4ae9-aad0-5b6d10e1a432 | 2023-02-06T15:58:56.191800+00:00 | Storj.io is an open-source, decentralized cloud storage platform that aims to offer a more secure, private, and cost-effective alternative to centralized cloud storage providers like AWS.
Here are some differences between Storj.io and AWS:
Decentralization: Storj.io is a decentralized platform that relies on a network of independent storage nodes to store and serve data, while AWS is a centralized platform that stores data on its own servers.
Privacy and security: Storj.io uses encryption and distributed storage to protect data privacy, while AWS also provides security features, but the data is ultimately stored on centralized servers.
Cost: Storj.io is often less expensive than AWS, especially for larger data sets, due to its decentralized model and the fact that it uses spare storage capacity from its users.
However, there are also potential issues to be aware of when using Storj.io:
Reliability: Since Storj.io relies on a network of storage nodes, there is a risk of data loss or corruption if some of the nodes go offline or malfunction.
Latency: Storj.io may have higher latency than AWS due to the decentralized nature of the platform and the need for data to be retrieved from multiple nodes.
Compatibility: Storj.io may not be as compatible with other platforms and tools as AWS, as it is a relatively new technology and may not have as many integration options.
These are some of the differences and potential issues to consider when choosing between Storj.io and AWS. It's important to carefully evaluate your specific needs and use case to determine which platform is the best fit for your project. | assistant | en | 3 | true | false | 1 | false | null | {
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9c57c151-e524-4c72-ac3e-b52392545012 | ac4ddcce-4ef8-41ca-a2e3-072d5602dacc | 8f89d2f1-e064-4163-9cf6-520aaf0762c5 | 2023-02-06T18:36:21.099975+00:00 | Thank you. | prompter | en | 3 | true | false | null | false | null | {
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85ecb81e-3052-4f2b-8bb7-f83dbd68fc97 | 97e0d20a-10d4-4d77-b26c-ae6e5510ef82 | c212120c-0b79-4b32-a5b1-d96686ca92ca | 2023-02-06T15:12:40.428352+00:00 | GANs can generate text by using a variant called a Seq | assistant | en | 3 | false | false | null | false | null | {
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7b6cc408-62b3-4cdc-8ca0-43e7f339d10f | edb80ccd-73ff-45c8-b6d3-e3e75245d64f | 520a9595-d07b-4f6b-9366-9cb75041221b | 2023-02-06T05:07:41.350534+00:00 | Yes, it is possible to create a database dump (also known as a snapshot) for a running Elasticsearch 6.8 cluster in AWS using only the command line. Here are the steps to create a database dump for an Elasticsearch cluster:
Install the Elasticsearch Snapshot and Restore plugin, if it is not already installed, by using the following command:
python
bin/elasticsearch-plugin install repository-s3
Configure the S3 repository for snapshots, by adding the following settings to the elasticsearch.yml file:
python
repositories.s3.bucket: "my-s3-bucket"
repositories.s3.base_path: "snapshots"
repositories.s3.access_key: "ACCESS_KEY"
repositories.s3.secret_key: "SECRET_KEY"
Create the snapshot with the following command, substituting the name of your cluster and snapshot name as desired:
rust
curl -XPUT 'localhost:9200/_snapshot/my-s3-repository/snapshot_1?wait_for_completion=true'
Verify that the snapshot was created successfully by checking the list of snapshots:
python
curl -XGET 'localhost:9200/_snapshot/my-s3-repository/_all'
Note: Make sure to replace localhost:9200 with the endpoint for your running Elasticsearch cluster in AWS. Also, replace ACCESS_KEY and SECRET_KEY with your AWS access key and secret key, respectively. | assistant | en | 3 | true | false | 1 | false | null | {
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20effb58-92ee-4736-81a1-276e214bdb35 | 7b6cc408-62b3-4cdc-8ca0-43e7f339d10f | 1563a2f5-662a-4ca8-9a27-f615a90fd4f9 | 2023-02-06T14:12:34.133266+00:00 | idk | prompter | en | 3 | false | false | null | false | null | {
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b7637357-a348-42f2-a668-3c0496cbcc7c | edb80ccd-73ff-45c8-b6d3-e3e75245d64f | 7de84fb1-4cf5-4142-989d-f490fc526bfd | 2023-02-06T03:44:42.129073+00:00 | Yes, it is possible to create a database dump for a running Elasticsearch 6.8 cluster in AWS using the command line. To create a database dump, you need to use the Elasticsearch Snapshot API, which allows you to save a complete copy of the cluster data in a snapshot repository. Here's how to create a database dump using the command line:
1. Create a repository: Before creating a snapshot, you need to create a repository where the snapshots will be stored. To create a repository, use the following curl command:
```
curl -XPUT 'http://<your-elasticsearch-instance-endpoint>:9200/_snapshot/<repository-name>' -H 'Content-Type: application/json' -d '{
"type": "fs",
"settings": {
"location": "<directory-path-to-store-snapshots>",
"compress": true
}
}'
```
Replace `<your-elasticsearch-instance-endpoint>` with your Elasticsearch instance endpoint, `<repository-name>` with the name of your repository, and `<directory-path-to-store-snapshots>` with the directory path where you want to store your snapshots.
2. Create a snapshot: To create a snapshot, use the following curl command:
```
curl -XPUT 'http://<your-elasticsearch-instance-endpoint>:9200/_snapshot/<repository-name>/<snapshot-name>?wait_for_completion=true'
```
Replace `<your-elasticsearch-instance-endpoint>` with your Elasticsearch instance endpoint, `<repository-name>` with the name of your repository, and `<snapshot-name>` with the name of your snapshot.
The `wait_for_completion=true` parameter in the URL tells Elasticsearch to wait until the snapshot is completed before returning the response.
Once the snapshot is completed, you can access the snapshot in the directory specified in the repository. You can use this snapshot to restore the Elasticsearch cluster data at any time. | assistant | en | 3 | true | false | 2 | false | null | {
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42d9dedf-b32e-4db9-9d65-6f131adbfc78 | b7637357-a348-42f2-a668-3c0496cbcc7c | 8f271291-b2e0-4921-9fb8-1a93f476af0f | 2023-02-06T10:34:55.198561+00:00 | You can also use the elasticsearch-dump tool to create a database dump for an Elasticsearch cluster. The tool allows you to export data from an Elasticsearch cluster to a file or to another cluster. To use the tool, you need to install it using npm, which is the Node Package Manager.
Here's how to install and use the elasticsearch-dump tool:
Install elasticsearch-dump: To install elasticsearch-dump, use the following command:
lua
npm install elasticsearch-dump -g
Create a database dump: To create a database dump, use the following command:
c
elasticdump \
--input=http://<your-elasticsearch-instance-endpoint>:9200/<index-name> \
--output=<output-file-name>.json \
--type=data
Replace <your-elasticsearch-instance-endpoint> with your Elasticsearch instance endpoint, <index-name> with the name of the index you want to dump, and <output-file-name> with the name of the output file.
The --type=data parameter tells the tool to dump the data in the Elasticsearch index. The output will be saved in a JSON file with the specified <output-file-name>.
You can use the same command with different parameters to import data into an Elasticsearch cluster, or to transfer data from one cluster to another. | prompter | en | 3 | true | false | null | false | null | {
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23d7d8a8-cca7-44b1-8b21-50cacd583021 | 42d9dedf-b32e-4db9-9d65-6f131adbfc78 | 5496f41a-1fe4-4c54-a551-3eff54ad94f1 | 2023-02-06T18:36:07.129983+00:00 | Thank you for suggesting an alternative method for creating a database dump for an Elasticsearch cluster.
[Note] From the associated GitHub page (https://github.com/elasticsearch-dump/elasticsearch-dump#Installing), it seems that the suggested global installation method syntax for this tool is now:
"npm install elasticdump -g
elasticdump"
May I help you for anything else? | assistant | en | 3 | true | false | 0 | false | null | {
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1c98e9c9-993a-4db9-bcd9-f569cf8b1a8e | 42d9dedf-b32e-4db9-9d65-6f131adbfc78 | c212120c-0b79-4b32-a5b1-d96686ca92ca | 2023-02-06T17:54:23.408910+00:00 | Yes, that's correct. The elasticsearch-dump tool is a convenient way to create a database dump for an Elasticsearch cluster. It allows you to export data from an Elasticsearch cluster to a file or to another cluster. The tool is easy to install and use, and it provides a lot of flexibility in terms of the data you can export and import. | assistant | en | 3 | true | false | 1 | false | null | {
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edbbd890-f8b5-4dad-9c7b-42c9bc3716ad | null | 71d93e14-ae67-4514-aeb3-b1e80670a19d | 2023-02-04T23:58:08.441508+00:00 | What is Python and what is it used for? | prompter | en | 3 | true | false | null | false | null | {
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fb4e3ef2-8269-4fc8-a2b8-b0b86e7a18e8 | edbbd890-f8b5-4dad-9c7b-42c9bc3716ad | 64fbd438-2e4c-43a4-82d4-7bcc8296d253 | 2023-05-10T16:05:03.789611+00:00 | Python is a high-level, interpreted, and general-purpose programming language created by Guido van Rossum and first released in 1991. It is designed with an emphasis on code readability and simplicity, which is achieved through its use of significant whitespace and a clean, easy-to-understand syntax. Python is open-source and has a large, active community that contributes to its growth and development.
Python is used for a wide range of applications, including:
1. Web development: Python has several popular web frameworks, such as Django, Flask, and Pyramid, that help developers create dynamic, scalable websites and web applications.
2. Data analysis and visualization: Python's rich ecosystem of libraries, like Pandas, NumPy, and Matplotlib, makes it a popular choice for data manipulation, analysis, and visualization.
3. Machine learning and artificial intelligence: Python offers powerful libraries and tools, such as TensorFlow, PyTorch, and scikit-learn, for developing machine learning and AI solutions.
4. Scientific computing: With libraries like SciPy and SymPy, Python is widely used for solving complex mathematical problems and performing scientific simulations.
5. Automation and scripting: Python's simplicity and versatility make it an ideal language for writing scripts and automating repetitive tasks, like data processing or system administration.
6. Game development: Python can be used to create simple games and prototypes with libraries like Pygame.
7. Desktop application development: Python can be used to create cross-platform desktop applications using libraries like PyQt or Tkinter.
8. Networking and cybersecurity: Python is commonly used for network programming, penetration testing, and cybersecurity tasks, thanks to libraries like Scapy, Nmap, and Requests.
9. Internet of Things (IoT): Python can be used in IoT projects for device programming, data collection, and analysis, especially with platforms like Raspberry Pi and MicroPython.
These are just a few examples of the many uses of Python, making it a versatile and popular choice for programmers across various industries and domains. | assistant | en | 5 | true | false | 0 | false | null | {
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38e08279-303e-4815-bb8f-b5ee065b27a7 | fb4e3ef2-8269-4fc8-a2b8-b0b86e7a18e8 | a41f23d1-dc75-497d-8d99-a5b7b061022f | 2023-05-12T16:06:17.615334+00:00 | Can you list popular websites that were developed using a Python backend? | prompter | en | 5 | true | false | null | false | null | {
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41fc9ba5-08a7-44f0-b136-7b3cb9dd473f | 38e08279-303e-4815-bb8f-b5ee065b27a7 | 9ea824f7-e516-483f-b94a-34cecb905c6d | 2023-05-13T13:29:11.837126+00:00 | Here is a list of popular examples.
1. Netflix: If you ever wanted evidence of a company that kept pace with digital change, Netflix is the one! While Netflix used to rent DVDs by post, they quickly jumped on the digital bandwagon and expanded to become one of the most popular streaming services in the world. Developers at Netflix explain that they use Python throughout “the full content lifecycle.” In short, this means that Python sits at the base of many Netflix applications from their security tools and recommendation engine, to their in-house content distribution network, Open Connect (which delivers streaming content to its end users). Now you know!
2. Reddit: The go-to forum for everything from news to bleeding-edge social commentary, Reddit has long been a staple of the world’s internet diet. Whenever you send a request via your browser to Reddit, the web server (Reddit) uses Python to translate your request. It then sends back the necessary HTML, which is what you see in your browser.
3. Spotify: Spotify makes heavy use of Python on its web backend, which comprises many interconnected services. According to the company, around 80% of these are coded using Python. Spotify also has a proprietary Python data analytics package called Luigi. Designed to quickly prototype complex data jobs, Luigi powers Spotify’s Radio and Discover features, as well as recommendations for people you might want to follow.
4. Dropbox: First launched in 2008, the file hosting service Dropbox was doing cloud storage. Today it remains at the cutting edge of the sector and much of its success is down to Python. Dropbox has used Python since its inception, both server-side and on the client end. The language’s cross-platform support and readability led Dropbox to adopt the language since these allowed them to implement, test and deploy new product features at speed. The company is also a firm believer in open-source. They regularly share their innovations with the wider world–something we like to see! The company is so focused on Python that, from 2012 to 2019, they even employed Guido van Rossum, Python’s creator.
5. Quora: Probably the internet’s most famous Q&A site (at least since Yahoo Answers departed—RIP) Quora is best known for its compelling questions and occasionally dubious responses. Nevertheless, it’s hugely well-known and is another site that makes heavy use of Python. Being such a dynamic site, Python has allowed Quora to build and test new functionality with fewer lines of code, streamlining their new feature development. In terms of their exact tech stack, Quora uses numerous Python libraries on its backend, including Tornado and PyPy, amongst others.
6. Uber: Like Quora, they tend to use Tornado at Uber. Python accounts for about 35% of their tech stack and much of its backend functionality relies heavily on it. This includes data analytics features for predicting supply and demand, user surges and arrival times—highly mathematical functions that Python is ideally suited to.
7. Amazon: In particular, Amazon engineers have produced Python machine learning algorithms that interact with the company’s Hadoop data storage system. This mighty analytics stack powers Amazon’s famed recommendation engine that encourages us to purchase new products. Analyzing user search and purchase habits, Python helps Amazon recommend even more stuff for us to buy!
8. Pinterest: The virtual pinboard and social bookmarking site Pinterest was initially built using Python, because that’s what languages its developers knew best. It’s since taken a more pragmatic approach, with former Pinterest Chief Technology Officer, Vanja Josifovski, explaining that Pinterest uses many programming languages depending on the use case. However, the site’s continued reliance on machine learning strongly suggests that Python remains a core part of their tech stack.
9. Lyft: Also like Uber, Python is a core language at the company. According to their Principal Tech Lead, Roy Williams: “It’s not uncommon for us to have services configured by Salt (written in Python) while running a web server with Flask, serving data with scikit-learn, and manipulating with Pandas… this is pretty common for us.”
10. Google: Today, Python is an “official language” at Google and has many continued applications across the organization, from system building and administration to code evaluation. Of course, as the need for data analytics becomes increasingly important in big tech, Python is also used in many of Google’s cutting-edge machine learning and AI projects.
11. YouTube: YouTube functionality including view video, administrator video, data access, and website control templates are just a few ways in which Python powers the site.
12. Facebook (Meta): Python plays no small part, accounting for at least 21 percent of their codebase, mostly in the area of production engineering. Oh, and remember that Tornado web framework we mentioned (used by Quora and Uber)?
13. Instagram: Instagram’s original backend was built on a Django framework—still used to this day. And since Meta (formerly Facebook) bought Instagram, the integration between the two platforms has grown increasingly complex. APIs, search mechanisms, and other functionality are all coded in Python. | assistant | en | 5 | true | false | 0 | false | null | {
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dec35292-2dbc-48c7-83ee-3e279b37d592 | 38e08279-303e-4815-bb8f-b5ee065b27a7 | b8e63600-1f94-45cf-be1d-2992d3c865f2 | 2023-05-13T13:42:18.696026+00:00 | - Instagram
- Youtube
- Pinterest
- Quora
- Google
- Dropbox | assistant | en | 5 | true | false | 1 | false | null | {
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9bcc2e1c-eba7-429c-96e6-2755fb49afa2 | 38e08279-303e-4815-bb8f-b5ee065b27a7 | 94cf8942-7f36-41a7-a253-7356f9997ef3 | 2023-05-13T14:52:06.855416+00:00 | Instagram
Reddit
Dropbox
Spotify
These are some of the websites | assistant | en | 5 | true | false | 2 | false | null | {
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238f8001-5037-45d5-bdc6-7e2b58aa6ef3 | edbbd890-f8b5-4dad-9c7b-42c9bc3716ad | 5f570596-c13c-4d67-af54-6c9fcafe0426 | 2023-05-10T16:55:35.368931+00:00 | Python is a high-level, interpreted programming language that was created by Guido van Rossum and first released in 1991. It is designed to be easy to read and write with its use of whitespace and English keywords frequently where other languages use punctuation.
Python is a general-purpose language, which means it can be used to build just about anything, which will be made easy with the right tools/libraries. It is dynamically typed and garbage-collected, supporting multiple programming paradigms, including structured (particularly, procedural), object-oriented, and functional programming.
Here are some areas where Python is widely used:
1. **Web Development**: Python can be used to create web applications. There are several Python web frameworks, such as Django and Flask, which make it easy to design and maintain reliable and efficient websites.
2. **Data Analysis and Visualization**: Python is a popular language for data analysis. Libraries like pandas, NumPy, and Matplotlib make Python a powerful tool for manipulating, analyzing, and visualizing data.
3. **Machine Learning and Artificial Intelligence**: Python is one of the most popular languages in the field of machine learning and AI. Libraries like TensorFlow, PyTorch, and scikit-learn provide tools for creating and training complex machine learning models.
4. **Scripting and Automation**: Python is often used to create scripts that automate routine tasks. This could be anything from moving and renaming files to web scraping or extracting data from different file formats.
5. **Scientific Computing**: Python is used in scientific research for a wide range of tasks, including processing and analyzing experimental data and simulating physical systems. Libraries like SciPy and BioPython provide tools specific to several scientific fields.
6. **Cybersecurity**: Python is used in cybersecurity to write scripts that can automate tasks such as scanning for security vulnerabilities, analyzing log files for suspicious activity, and creating intrusion detection systems.
7. **Game Development**: While not as common as some other languages, Python is used in game development. Libraries like Pygame provide the necessary functionality.
8. **Education**: Python's simplicity and readability make it a popular choice for teaching programming to beginners.
Python's design philosophy emphasizes code readability and ease of use. It is known for its "batteries included" philosophy, which means that the standard library includes a wide range of modules for different tasks, making it versatile and powerful. | assistant | en | 5 | true | false | 1 | false | null | {
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a13c1df1-adda-448b-ac90-a28d51544af4 | 238f8001-5037-45d5-bdc6-7e2b58aa6ef3 | b8417297-f567-481e-8c00-caf6dc95b0ec | 2023-05-11T17:46:07.516268+00:00 | Python is a high-level, interpreted programming language that was created by Guido van Rossum and first released in 1991. It is designed to be easy to read and write with its use of whitespace and English keywords frequently where other languages use punctuation.
Python is a general-purpose language, which means it can be used to build just about anything, which will be made easy with the right tools/libraries. It is dynamically typed and garbage-collected, supporting multiple programming paradigms, including structured (particularly, procedural), object-oriented, and functional programming.
Here are some areas where Python is widely used:
Web Development: Python can be used to create web applications. There are several Python web frameworks, such as Django and Flask, which make it easy to design and maintain reliable and efficient websites.
Data Analysis and Visualization: Python is a popular language for data analysis. Libraries like pandas, NumPy, and Matplotlib make Python a powerful tool for manipulating, analyzing, and visualizing data.
Machine Learning and Artificial Intelligence: Python is one of the most popular languages in the field of machine learning and AI. Libraries like TensorFlow, PyTorch, and scikit-learn provide tools for creating and training complex machine learning models.
Scripting and Automation: Python is often used to create scripts that automate routine tasks. This could be anything from moving and renaming files to web scraping or extracting data from different file formats.
Scientific Computing: Python is used in scientific research for a wide range of tasks, including processing and analyzing experimental data and simulating physical systems. Libraries like SciPy and BioPython provide tools specific to several scientific fields.
Cybersecurity: Python is used in cybersecurity to write scripts that can automate tasks such as scanning for security vulnerabilities, analyzing log files for suspicious activity, and creating intrusion detection systems.
Game Development: While not as common as some other languages, Python is used in game development. Libraries like Pygame provide the necessary functionality.
Education: Python's simplicity and readability make it a popular choice for teaching programming to beginners.
Python's design philosophy emphasizes code readability and ease of use. It is known for its "batteries included" philosophy, which means that the standard library includes a wide range of modules for different tasks, making it versatile and powerful. | prompter | en | 5 | false | false | null | false | null | {
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0ddcc1e9-9e7a-4f35-878b-0ae0721d0ad9 | edbbd890-f8b5-4dad-9c7b-42c9bc3716ad | c51eebaf-1ddb-4fa6-981d-df7662dc01f3 | 2023-05-10T16:38:21.661811+00:00 | Python is a general purpose programming language and used for a lot of different tasks. From automating simple tasks, games and machine learning. | assistant | en | 5 | true | false | 2 | false | null | {
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9680d295-d595-4456-ad4f-ba2bb6678c1f | 0ddcc1e9-9e7a-4f35-878b-0ae0721d0ad9 | 5deb499d-c8fb-4577-88b1-ef7f1a8deb77 | 2023-05-11T17:04:58.590479+00:00 | So from what you are saying what are the possibilities that one could create with python? Is the language complex enough to accommodate various aspects of more commercial projects or is it simply suited to more personal or individual projects?
Can you give me some examples of any type of commercial projects that have been created using python? | prompter | en | 5 | true | false | null | false | null | {
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b6a328e2-1c33-4242-8264-0a8038f10c4b | 9680d295-d595-4456-ad4f-ba2bb6678c1f | 17f69442-dc6a-41d8-b205-405614beffb5 | 2023-05-12T17:40:17.708117+00:00 | Python is a very versatile programming language and can be used for a wide variety of tasks. It is often used in commercial projects, as well as in academia, scientific research, data analysis, artificial intelligence, and more.
Python can be used for developing large-scale commercial projects such as web applications, machine learning algorithms, desktop GUI applications, games, and more. Some examples of commercial projects developed using Python include:
1. Instagram - uses Python's Django web framework for its backend.
2. Spotify - Python is used for its data analytics tool.
3. Uber - uses Python for data analysis and as a framework for its machine learning models.
4. Dropbox - Python provides tools for its backend and system services.
5. Google - uses Python for its search engine algorithms and machine learning-based services.
Aside from these big names, there are many other examples of companies and startups built on Python, that include:
- PayPal
- Mozilla
- Quora
- Reddit
- SurveyMonkey
- NASA
In a nutshell, Python is a language that can handle almost all tasks you will come across in any commercial projects, and it is a popular choice among developers for its ease of use, readability, and low learning curve. | assistant | en | 5 | true | false | 0 | false | null | {
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fd505b58-ba25-49c7-ae26-686cd59d0751 | 9680d295-d595-4456-ad4f-ba2bb6678c1f | c51eebaf-1ddb-4fa6-981d-df7662dc01f3 | 2023-05-12T08:29:32.512665+00:00 | Yes you certainly can write enterprise grade applications with Python. Some commercial examples would be Reddit which is written in Python. Dropbox originally wrote the server and the desktop client in Python. Python is also used in machine learning a lot so Open Assistants code base is in Python to make chat bots like me work. | assistant | en | 5 | true | false | 1 | false | null | {
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97b85c55-e80b-4158-a97e-e5954486ad16 | 9680d295-d595-4456-ad4f-ba2bb6678c1f | a41f23d1-dc75-497d-8d99-a5b7b061022f | 2023-05-12T11:38:10.614306+00:00 | **Python** is an extremely versatile language and is widely used in commercial settings. The language is popular due to its readability and clear syntax, which makes it easier to maintain and develop large projects as compared to some other languages. Python's extensive standard library and the availability of numerous third-party libraries make it suitable for almost any kind of project.
Some of the possibilities that one could create with Python in a commercial environment include:
- **Web and Internet Development**: With frameworks like Django, Flask, and Pyramid, Python is a powerful tool for web development. It's used to power many popular websites like Instagram and Pinterest.
- **Scientific and Numeric Computing**: Libraries like NumPy, SciPy, and Pandas make Python a popular choice for scientific and numerical computations. It's widely used in fields like physics, chemistry, biology, and economics.
- **Artificial Intelligence and Machine Learning**: Python is one of the most popular languages in AI and ML fields. Libraries like TensorFlow, PyTorch, and scikit-learn provide a vast range of tools for data analysis and modeling.
- **Data Analysis and Visualization**: Python is a go-to language for data scientists. Libraries like Matplotlib, Seaborn, and Plotly help in creating effective visualizations. Pandas, again, is great for data manipulation and analysis.
- **Game Development**: Pygame is a set of Python modules designed for writing games, and it's quite popular in educational settings.
- **Desktop GUI**: Python is used for creating desktop applications. Libraries like Tkinter, PyQt, or wxPython are used to create functional and responsive graphical user interfaces.
- **Network Programming**: Python, with libraries like Twisted, allows for asynchronous network programming, and can be used to write networking tools, servers, and clients.
- **Software Development**: Python is often used as a support language in software development for build control, management, testing, and much more.
- **Finance and Trading**: Python is extensively used in quantitative finance. Libraries like Zipline, PyAlgoTrade, and backtrader are used for backtesting trading strategies, while libraries like QuantLib are used for quantitative finance.
- **Cybersecurity**: Python is used to write security tools for networking, forensics, malware analysis, and penetration testing.
As you can see, Python is not just for personal or individual projects. It's a powerful, versatile language that's widely used in many different commercial environments. Its flexibility and ease of learning make it a great choice for both beginners and experienced developers. | assistant | en | 5 | true | false | 2 | false | null | {
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144080d7-a963-4f66-a5c7-840c6eb4db2f | 9680d295-d595-4456-ad4f-ba2bb6678c1f | 262a2f17-f9fb-4dbf-91e6-1e04bf1d47ee | 2023-05-12T10:08:32.829589+00:00 | Among other possibilities, as an example, this Open Assistant chat interface was written mostly in Python, as evident on the project's GitHub page (https://github.com/LAION-AI/Open-Assistant). Python is also widely used for training AI models. The language is complex enough to accommodate most commercial projects, not only the personal or individual ones. You would only need another language for special case domains, like systems programming (drivers, operating systems) or web applications for browsers without WebAssembly support.
The Ren'Py game engine is a very popular Python project that has been used for a large number of games, including the widely acclaimed and commercially successful game "Doki Doki Literature Club". | assistant | en | 0 | null | true | null | false | null | {
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d3baa0b8-20a1-45a7-a0fb-2d158f247dbc | 1165544e-d3d3-4f7b-8ee1-e3c1151d63f2 | 87a34cd4-7261-4ff7-a402-fd055ebbb352 | 2023-03-04T21:34:09.814693+00:00 | ยกตัวอย่างมาหน่อย | prompter | th | 3 | true | false | null | false | null | null | edbc6744-5836-477f-a196-025f001dae1b | ready_for_export | {
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edbf2670-30c8-493d-98f8-c27f547c140e | null | 18030cfd-af10-49de-8478-2908e41605b4 | 2023-02-05T13:31:41.009641+00:00 | What are some cheap, easy meals I can cook at home in under an hour? | prompter | en | 3 | true | false | null | false | null | {
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6ce85ed3-1f45-443b-9702-b4e8423b1586 | edbf2670-30c8-493d-98f8-c27f547c140e | ef8ea553-5952-4565-bd13-a8382e2448d1 | 2023-02-05T22:19:06.146862+00:00 | Here are some simple and affordable meal ideas that can be prepared in under an hour:
1. Pasta with tomato sauce: Cook pasta according to package instructions and prepare a simple tomato sauce using canned tomatoes, garlic, onion, and herbs such as basil and oregano.
2. Stir-fry: Cook rice or noodles and stir-fry vegetables such as broccoli, carrots, and bell peppers with a protein of your choice, such as chicken, beef, or tofu, in a pan with a bit of oil and a sauce made from soy sauce, honey, and vinegar.
3. Omelet: Whisk together eggs with a bit of milk, salt, and pepper, and cook in a non-stick pan with any fillings of your choice, such as cheese, vegetables, and herbs.
4. Tacos: Cook ground beef or chicken with a taco seasoning mix and serve with warm tortillas, lettuce, cheese, and salsa.
5. Sandwiches: Toast bread and assemble sandwiches with ingredients such as deli meat, cheese, lettuce, tomato, and condiments of your choice.
6. Chili: Cook ground beef or chicken with canned beans, tomatoes, and chili powder, and serve with rice or crackers.
7. Quesadillas: Fill a tortilla with cheese and any other fillings of your choice, such as cooked chicken or vegetables, and cook in a non-stick pan until the cheese is melted and the tortilla is crispy.
8. Soup: Saute vegetables such as onion, garlic, and carrots, add canned or fresh broth, and simmer with any additional ingredients, such as canned tomatoes, beans, or noodles, until heated through.
These meals are simple, quick, and can be easily adapted to suit your taste preferences and dietary restrictions. | assistant | en | 3 | true | false | 0 | false | null | {
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4ad1c47b-44e0-4053-82f7-7ac39ea10dfc | 6ce85ed3-1f45-443b-9702-b4e8423b1586 | 834a166e-e9dc-4c6f-937f-40ad3d9a9feb | 2023-02-06T01:47:06.207124+00:00 | Give me a generalized full guide, with steps, from start to finish, on how to cook 'Quesadillas'. | prompter | en | 3 | true | false | null | false | null | {
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a09f945f-4aff-4951-aae3-e0f4ed1c6a9a | 6ce85ed3-1f45-443b-9702-b4e8423b1586 | b4168ef8-6d5e-4f7c-9d36-6eb9928ad118 | 2023-02-06T01:45:01.956094+00:00 | Give me a recipe for 4. tacos. I have chicken but no salsa or cheese. | prompter | en | 3 | true | false | null | false | null | {
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0a0e93e8-0579-46f0-a24e-2875cbf59593 | a09f945f-4aff-4951-aae3-e0f4ed1c6a9a | 7de84fb1-4cf5-4142-989d-f490fc526bfd | 2023-02-06T03:59:47.039659+00:00 | Here's a simple recipe for 4 chicken tacos:
Ingredients:
- 1 pound boneless, skinless chicken breast or thighs, cut into bite-sized pieces
- 8 corn tortillas
- 1 tablespoon oil
- 1 teaspoon chili powder
- 1 teaspoon cumin
- 1 teaspoon paprika
- 1/2 teaspoon garlic powder
- 1/2 teaspoon onion powder
- Salt and pepper, to taste
- Optional toppings: lettuce, chopped cilantro, diced onions, lime wedges, hot sauce
Instructions:
1. In a large bowl, mix together the chili powder, cumin, paprika, garlic powder, onion powder, salt, and pepper.
2. Add the chicken to the bowl and toss to coat with the spice mixture.
3. Heat the oil in a large pan over medium-high heat.
4. Once hot, add the chicken to the pan and cook until browned and cooked through, about 8–10 minutes.
5. While the chicken is cooking, warm the tortillas in a separate pan or in the microwave.
6. To assemble the tacos, place a few pieces of chicken onto each tortilla.
7. Serve with desired toppings, such as chopped lettuce, cilantro, diced onions, lime wedges, and hot sauce.
Enjoy your delicious homemade chicken tacos! | assistant | en | 3 | true | false | 0 | false | null | {
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194e3f2c-0516-4e39-a206-ef38169ada44 | a09f945f-4aff-4951-aae3-e0f4ed1c6a9a | 737ce891-d7d2-416d-bc47-7757eb78389e | 2023-02-06T04:03:39.452912+00:00 | Chicken Tacos (for 4)
Ingredients:
- 1 lb boneless, skinless chicken breast or thighs
- 1 tbsp olive oil
- 1 tsp chili powder
- 1 tsp paprika
- 1 tsp cumin
- 1/2 tsp garlic powder
- Salt and pepper to taste
- 8 soft corn tortillas
- Toppings of your choice (e.g. shredded lettuce, diced tomatoes, sour cream, hot sauce)
Instructions:
1. Cut the chicken into small, bite-sized pieces.
2. In a small bowl, mix together the chili powder, paprika, cumin, garlic powder, salt, and pepper.
3. Heat the olive oil in a large skillet over medium-high heat.
4. Add the chicken to the skillet and season with the spice mix. Cook until the chicken is browned and cooked through, about 8-10 minutes.
5. Warm the tortillas in a dry skillet or in the microwave wrapped in damp paper towels.
6. To assemble the tacos, place a few pieces of chicken on each tortilla and top with your desired toppings. Serve immediately. Enjoy! | assistant | en | 3 | true | false | 1 | false | null | {
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33e2d8c2-26f8-4ffb-8fde-bfd8716755fc | edbf2670-30c8-493d-98f8-c27f547c140e | 2c96e467-66f0-4be7-9693-bda51356a424 | 2023-02-05T22:04:29.615245+00:00 | Here are some cheap, easy meals that can be cooked at home in under an hour:
1. Pasta with tomato sauce: Boil pasta and make a simple tomato sauce with canned tomatoes, garlic, olive oil and herbs.
2. Fried rice: Cook rice and stir-fry with vegetables, eggs and soy sauce.
3. Tacos: Brown ground beef, add taco seasoning and serve with toppings like cheese, lettuce, and salsa.
4. Omelette: Whisk eggs and pour into a pan with chopped veggies and cheese.
5. Baked potatoes: Bake potatoes in the oven, top with butter and sour cream.
6. Chili: Simmer canned beans, ground beef, canned tomatoes and chili powder.
7. Quesadillas: Fill a tortilla with cheese and other fillings such as cooked chicken or veggies. Grill until cheese is melted.
8. Ramen: Cook instant noodles and add boiled eggs, veggies, and a flavorful broth.
If you let me know what ingredients you have in your kitchen, I can give you some more specific meal suggestions that fit within the parameters of cheap, easy, and under an hour to cook. | assistant | en | 3 | true | false | 1 | false | null | {
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d86ed254-b31e-48bd-b753-d6821b203b9f | 33e2d8c2-26f8-4ffb-8fde-bfd8716755fc | 244628b3-0bc3-44a4-8a16-6b465815917a | 2023-02-06T02:04:05.170875+00:00 | Which of these has the lowest amount of calories? | prompter | en | 3 | true | false | null | false | null | {
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bf54710a-0694-4dd6-aa2a-e92957000e40 | d86ed254-b31e-48bd-b753-d6821b203b9f | 8a36236d-a30a-4089-8c62-2c74914ff664 | 2023-02-06T02:59:38.516225+00:00 | The meal with the lowest calorie count is typically a vegetable-based dish, such as a salad or a stir-fry, as vegetables are naturally low in calories. Here are a few options from the list above that are relatively low in calories:
Pasta with tomato sauce: Depending on the size of the portion and the ingredients used, this dish can range from 200 to 500 calories.
Fried rice: A single serving of this dish typically contains around 300 to 400 calories.
Tacos: The calorie count of tacos depends on the ingredients and portion size, but a single taco can range from 200 to 400 calories.
Omelette: An omelette made with just eggs and veggies can contain around 200 to 300 calories, depending on the ingredients and portion size.
Baked potatoes: A medium-sized baked potato with just butter and sour cream can contain around 200 to 300 calories.
Out of these options, the omelette made with just eggs and veggies is likely to have the lowest calorie count, as both eggs and veggies are relatively low in calories. | assistant | en | 3 | true | false | 0 | false | null | {
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7d392acb-a5dd-47c6-8045-ed92dadf98b2 | d86ed254-b31e-48bd-b753-d6821b203b9f | ae5f7d74-b568-4506-8602-a1a4e7beffc3 | 2023-02-06T02:56:19.695889+00:00 | It depends on the portion sizes, and how they are prepared, but the dish with the lowest amount of calories is likely the Omelette. | assistant | en | 3 | true | false | 1 | false | null | {
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e1eed391-4949-4ca7-bf51-57463eba499c | d86ed254-b31e-48bd-b753-d6821b203b9f | f4e1eb94-9417-49cf-8929-1a51fdf04ea7 | 2023-02-06T03:42:26.723192+00:00 | n 8. Ramen | assistant | en | 3 | true | false | 2 | false | null | {
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c63601e5-11a9-4d2d-8b7d-bec8b8184dfe | edbf2670-30c8-493d-98f8-c27f547c140e | 9109eaad-017a-46f9-91c5-231cd95d73d0 | 2023-02-05T22:20:00.002876+00:00 | Buttermilk Pie.
Instant Pot Broccoli and Cheese Soup.
Chicken Tortellini Soup.
Classic Minestrone Soup.
Apple Pie.
Ravioli Lasagna.
Easy Bacon and Cheese Egg Bake. | assistant | en | 3 | true | false | 2 | false | null | {
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edc1ccbb-fdd6-4c88-858d-dc5ca0b4c4f7 | null | 83fda7dd-c9b6-445e-8642-2f776fc8bbcd | 2023-02-18T20:14:58.489812+00:00 | Can you explain python generators in simple terms? | prompter | en | 3 | true | false | null | false | null | {
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f7696ffd-ec05-46bb-84f6-325d9bb8bf72 | edc1ccbb-fdd6-4c88-858d-dc5ca0b4c4f7 | aa245ebc-0b36-4a27-aade-7f58e242c1d2 | 2023-04-15T20:34:03.715121+00:00 | A generator in Python allows you to create functions that behave like iterators. In other words, it allows you to create a function that contains multiple values in a single object that you can iterate though.
For example, you could create a function that allows a user to iterate through the Fibonacci numbers with each sequential run or iteration using the following code:
```python
def FibonacciGenerator():
yield 0
yield 1
x = 0
y = 1
while True:
result = x + y
x, y = y, result
yield result
```
In this example, the function stops at each subsequent `yield` with each iteration- returning the Fibonacci value at that step. | assistant | en | 5 | true | false | 0 | false | null | {
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8560a70c-a61c-43f1-accc-2e4f8ac44e60 | f7696ffd-ec05-46bb-84f6-325d9bb8bf72 | fd6fe9a2-4306-4bbc-a8d3-b88f086fd755 | 2023-04-15T21:18:46.367120+00:00 | Thank you, are there alternatives to a generator that I can use in Python? | prompter | en | 5 | true | false | null | false | null | {
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e91ed71f-c023-4063-8a4d-f34235e08b84 | 8560a70c-a61c-43f1-accc-2e4f8ac44e60 | 3e5a2a74-6105-4c31-881e-dc454ba661e2 | 2023-04-16T01:24:31.827756+00:00 | I'd be pleased to assist you in this, a Python generator is a method used in python to generate large and sometimes infinite data sets, However It can be useful to know and or implement some of these other methods as well.
1. List comprehension:
series=[]
series.append(1)
series.append(1)
[series.append(series[k-1]+series[k-2]) for k in range(2,5)]
2.Coroutines:
import asyncio
async def fibonacci():
a, b = 0, 1
while True:
yield a
a, b = b, a + b
await asyncio.sleep(1)
async def print_fibonacci_sequence():
async for num in fibonacci():
print(num)
asyncio.run(print_fibonacci_sequence()) | assistant | en | 5 | true | false | null | false | null | {
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8f23d0b6-49b0-4159-9929-3bff1abc823e | edc1ccbb-fdd6-4c88-858d-dc5ca0b4c4f7 | c926f06e-a3ff-481c-bb82-c3d417ad270c | 2023-04-15T20:17:18.088363+00:00 | Sure, I'd be happy to explain Python generators in simple terms!
In Python, a generator is a special type of function that allows you to generate a sequence of values on-the-fly, rather than generating them all at once and storing them in memory. This can be useful when working with large datasets or when you don't know exactly how many values you need to generate ahead of time.
To create a generator, you define a function that uses the `yield` keyword instead of `return` to generate each value in the sequence. When you call this function, it returns a generator object that you can use to iterate over the sequence of values.
Here's a simple example of a generator function that generates the first `n` Fibonacci numbers:
```python
def fibonacci(n):
a, b = 0, 1
for i in range(n):
yield a
a, b = b, a + b
```
When you call this function with a value of `n`, it returns a generator object that you can use to iterate over the first `n` Fibonacci numbers:
```python
>>> fib = fibonacci(10)
>>> for num in fib:
... print(num)
...
0
1
1
2
3
5
8
13
21
34
```
Notice that we didn't have to generate all 10 Fibonacci numbers at once and store them in memory. Instead, we generated each number on-the-fly as we iterated over the generator object.
I hope that helps! Let me know if you have any other questions. | assistant | en | 5 | true | false | 1 | false | null | {
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f7d730ce-7886-4140-88c6-54d72bf6d943 | 8f23d0b6-49b0-4159-9929-3bff1abc823e | 0a74151a-a893-4601-b312-cce8ffb3ccc3 | 2023-04-15T22:02:42.098876+00:00 | Could you give me another example please? | prompter | en | 5 | true | false | null | false | null | {
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2a0ad3bb-446b-46c6-8b1d-b81c5fab1765 | f7d730ce-7886-4140-88c6-54d72bf6d943 | c926f06e-a3ff-481c-bb82-c3d417ad270c | 2023-04-16T01:15:09.811977+00:00 | Sure, here's another example of a generator function that generates all the even numbers between 0 and a given number `n`:
```python
def even_numbers(n):
for i in range(n):
if i % 2 == 0:
yield i
```
When you call this function with a value of `n`, it returns a generator object that you can use to iterate over all the even numbers between 0 and `n`:
```python
>>> evens = even_numbers(10)
>>> for num in evens:
... print(num)
...
0
2
4
6
8
```
Notice that the function only generates the even numbers as they are needed, rather than generating all the even numbers between 0 and `n` at once and storing them in memory. This can be especially useful when working with very large datasets or when you don't know exactly how many values you need to generate ahead of time. | assistant | en | 5 | true | false | 0 | false | null | {
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f87aff2c-aa1f-4a1a-a504-72a4c599eba8 | f7d730ce-7886-4140-88c6-54d72bf6d943 | cdbac2be-1220-4a97-8e08-34d8f213de40 | 2023-04-16T01:15:48.147803+00:00 | def even_numbers():
n = 0
while True:
if n % 2 == 0:
yield n
n += 1
if n >= 10:
break | assistant | en | 6 | true | false | 1 | false | null | {
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f53387af-7f48-4f89-ac94-920acb8eaf9e | edc1ccbb-fdd6-4c88-858d-dc5ca0b4c4f7 | 2d899079-9308-4bd3-ad6f-49cb2d8e312c | 2023-04-15T20:16:49.955784+00:00 | Python generators are a type of function that allows you to generate a sequence of values on-the-fly, rather than generating them all at once and storing them in memory.
When you call a generator function, it returns an iterator object that you can use to iterate over the sequence of values. Each time you call the iterator's `next()` method, the generator function resumes execution from where it left off and generates the next value in the sequence.
Generators are useful for working with large datasets or infinite sequences, as they allow you to generate only the values that are needed at any given time, rather than generating everything upfront and potentially running out of memory. They also allow for more efficient processing of data by enabling lazy evaluation. | assistant | en | 5 | true | false | 2 | false | null | {
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4f2f443a-3bed-46d4-b377-4faeff6ce924 | f53387af-7f48-4f89-ac94-920acb8eaf9e | ceb5cf07-fb0d-4642-9dc1-77bf62baf20b | 2023-04-15T21:56:41.768636+00:00 | Can you give more examples on how and when to use generators? Give 3 use cases and then write an example script. Explain how the script works. | prompter | en | 5 | true | false | null | false | null | {
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63100510-4a6c-4cbc-89d9-1876a6370233 | edc1ccbb-fdd6-4c88-858d-dc5ca0b4c4f7 | 5892446d-81fc-424e-abbd-43341aa98be6 | 2023-04-15T20:04:43.188522+00:00 | A python generator function allows you to create a function that behaves like an iterator. | assistant | en | 5 | true | false | 3 | false | null | {
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cb56680c-ac18-4bbb-9051-f8e4475bb573 | 63100510-4a6c-4cbc-89d9-1876a6370233 | 0a74151a-a893-4601-b312-cce8ffb3ccc3 | 2023-04-15T21:57:43.942053+00:00 | Now explain it to me as if I'm a 5 year old, please. | prompter | en | 5 | true | false | null | false | null | {
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f1f207d2-822a-4b8f-893a-e6758b313db4 | cb56680c-ac18-4bbb-9051-f8e4475bb573 | 1d174985-8f02-4e6b-bc30-bb9995eac611 | 2023-04-16T01:15:26.985813+00:00 | A programming language is a way to tell a computer what to do. We break up these programs into steps that the computer can understand, called "functions", and data we want the computer to remember, called "variables". Sometimes, you want the computer to do a bunch of things to a whole lot of variables, but don't want to store everything it does along the way, just the final answer. In that case, you can build a "generator function", which will calculate all those variables when called, rather than having to store them all the time. | assistant | en | 5 | true | false | null | false | null | {
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edf99ae9-620c-4422-9d9a-e308d6dfd15c | null | 8c6735ba-a64e-4b5c-9eac-e9905cd53648 | 2023-02-10T00:05:48.733691+00:00 | ¿Qué puedo decirle a alguien para hacerlo sentir que es más talentoso de lo que realmente es? | prompter | es | 3 | true | false | null | false | null | {
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eedda5fa-7c23-47c9-b96e-9bb48af5e90c | edf99ae9-620c-4422-9d9a-e308d6dfd15c | b6c9702a-15f6-40c8-b734-5a62d040e4c4 | 2023-02-10T06:25:00.344590+00:00 | Un tipo de forma de expresarte para que una persona pueda llegar a pensar que tiene más talento de lo que le corresponde es:
1. Utilizar atributos y habilidades que realmente tenga en la realidad pero exagerarlos hasta tal punto que sea comparable con los de una persona experta.
2. Decirle de forma sutil, pero reiteradas veces, que es muy bueno en diferentes ámbitos. Todo esto con el propósito de que pueda llegar a sentirse mejor o más realizado haciendo esas tareas.
Todo esto está escrito con el propósito de mejorar la perspectiva personal de alguien de forma altruista. En ningún caso se recomienda hacer a alguien infeliz con nuestros comentarios o con nuestras palabras en general. | assistant | es | 3 | true | false | 0 | false | null | {
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f7527b86-3b56-4d91-bd5e-c848841488c8 | edf99ae9-620c-4422-9d9a-e308d6dfd15c | dceb933b-c1c0-47fd-849d-9ad4e69b78d7 | 2023-02-10T06:00:56.879321+00:00 | No es apropiado engañar a alguien o hacer que se sienta mejor de lo que es. En lugar de eso, puede enfatizar sus fortalezas y habilidades únicas, y motivar a esa persona para que siga desarrollándolas y creciendo. Aquí hay algunas frases que pueden ayudar a alentar y apoyar a alguien:
"Tienes una perspectiva única y creativa en las cosas."
"Eres muy dedicado y apasionado por lo que haces."
"Has logrado cosas impresionantes en un corto período de tiempo."
"Eres muy bueno en resolver problemas y encontrar soluciones innovadoras."
"Tienes una habilidad natural para [habilidad específica], eso es algo realmente valioso."
Recuerda que lo más importante es ser auténtico y honesto al alentar a alguien, y no exagerar o hacer afirmaciones falsas para hacer que se sientan mejor. | assistant | es | 3 | true | false | 1 | false | null | {
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fe61ebe8-fcff-4e53-a453-0b0157bbe6d1 | edf99ae9-620c-4422-9d9a-e308d6dfd15c | 3c712c48-bf43-4d06-b871-330e1e9645e9 | 2023-02-10T06:23:59.824156+00:00 | Estas son algunas de las cosas que nos gusta escuchar de la gente:
- Me encanta tu trabajo
- Me gusta como enfocas las cosas
- Siempre encuentras una solución
- Tienes mucho talento
- Tu si que vales para esto
- Muestras profesionalidad y pasión en todo lo que haces.
- Has puesto el listón muy alto. | assistant | es | 3 | true | false | 2 | false | null | {
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edfaf14f-54f5-4117-8e5f-c70e653eb1ab | null | fc3c6edb-7d05-46df-a117-033b44badbfa | 2023-02-10T14:57:18.594104+00:00 | explain derivatives and integrals in a few simple sentences | prompter | en | 3 | true | false | null | false | null | {
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8269e0df-8fc5-44ae-9e55-041bd2f2888b | edfaf14f-54f5-4117-8e5f-c70e653eb1ab | 2d40e94c-40ed-4e00-a66e-454c0401c8ad | 2023-02-28T03:09:39.867588+00:00 | Derivatives and integrals are two fundamental concepts in calculus. A derivative is a measure of how much one variable changes in response to a change in another variable. It represents the instantaneous rate of change of a function at a particular point. An integral, on the other hand, is a way of calculating the area under a curve. It is the reverse process of differentiation and allows us to find the total amount of something over a certain interval. In simpler terms, derivatives help us understand how things change, while integrals help us understand how much of something we have. | assistant | en | 3 | true | false | 0 | false | null | {
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e5b8318d-abc7-4830-a00a-a5a5d7120f4b | edfaf14f-54f5-4117-8e5f-c70e653eb1ab | 0a3b8f90-e899-4980-9fbc-bb1ff0c7c2f7 | 2023-02-28T03:08:25.548330+00:00 | For simplicity, I would explain derivatives and integrals, the foundational working tools in calculus, geometrically.
- The derivative of a function f(x), f'(x), can be geometrically interpreted as the slope of the curve of f(x) at x.
- The indefinite integral of a function f(x), F(x), is the inverse of derivative, where f(x) = F'(x).
- The definite integral of a function f(x) takes two parameters a and b, and can be geometrically interpreted as the area under the curve of f(x) between x=a and x=b. The area above the x-axis is positive, and that under the x-axis is negative.
However, it is important to know that these are only some simplified explanations of derivatives and integrals. Calculus is a complicated branch of mathematics with many other tools and theorems, and to fully understand it you might need to begin from Limits. | assistant | en | 3 | true | false | 1 | false | null | {
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d6be577c-a40b-4d0b-aa66-b34851b67ac1 | edfaf14f-54f5-4117-8e5f-c70e653eb1ab | 3927bab9-1d73-4415-9c9e-a7d88fc03748 | 2023-02-28T19:23:44.312066+00:00 | Derivatives are a way to describe how quickly a function increases or decreases. If a function is increasing at some point, it will have a positive derivative at that point, and if the function is decreasing, it's derivative will be negative. Integrals are a way to find the area between functions and the x axis between two values of x. If a function is always above the x axis between the two values of x, the integral will be positive, and if a function is always below the x axis, the integral will be negative. | assistant | en | 3 | true | false | 2 | false | null | {
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ee039e55-3238-4ee7-a3e6-28e806a7ad27 | null | 3e27c3cc-5c34-4d55-b209-f83c5ac7419b | 2023-02-15T07:12:20.105071+00:00 | 你能帮我查询一下未来5天合肥到西安的航班吗 | prompter | zh | 3 | true | false | null | false | null | null | ee039e55-3238-4ee7-a3e6-28e806a7ad27 | ready_for_export | {
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70b4ee7a-4773-4fce-b252-0e1de8a74670 | ee039e55-3238-4ee7-a3e6-28e806a7ad27 | 60a2723a-47bc-4dac-bcdd-88e0374d3b12 | 2023-02-23T14:58:35.570445+00:00 | 非常抱歉,作为一个语言模型,我无法实时查询未来五天合肥到西安的航班。建议您访问 [中国民用航空局](http://www.caac.gov.cn/INDEX/HLFW/GNHBCXXXY/) (http://www.caac.gov.cn/INDEX/HLFW/GNHBCXXXY/)进行查询 | assistant | zh | 3 | true | false | 0 | false | null | null | ee039e55-3238-4ee7-a3e6-28e806a7ad27 | ready_for_export | {
"name": [
"+1",
"_skip_reply"
],
"count": [
3,
1
]
} | {
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"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
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976fd9db-39e7-45b3-a7da-ac43c132210d | 70b4ee7a-4773-4fce-b252-0e1de8a74670 | e5abb3fa-362f-489a-b1c7-9a5134c9956d | 2023-02-26T01:05:55.468417+00:00 | 那查询一下历史航班的晚点率 | prompter | zh | 3 | true | false | null | false | null | null | ee039e55-3238-4ee7-a3e6-28e806a7ad27 | ready_for_export | {
"name": [
"_skip_reply"
],
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6
]
} | {
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af50dc6d-3689-4590-a1d4-85a7433dea93 | 976fd9db-39e7-45b3-a7da-ac43c132210d | 2c83f84d-aee0-4a8b-aafa-f2b7e898c292 | 2023-03-12T02:14:41.879021+00:00 | 很抱歉,我作为一个语言模型,没有实时的航班晚点数据,也无法进行实时的数据查询和预测。建议您查询相关航空公司或机场官网或第三方航班查询网站获取最新的航班信息。 | assistant | zh | 3 | true | false | null | false | null | null | ee039e55-3238-4ee7-a3e6-28e806a7ad27 | ready_for_export | null | {
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
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"hate_speech",
"sexual_content",
"quality",
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27ca67a9-cbbb-4c97-9c7c-d0dc583cdc77 | ee039e55-3238-4ee7-a3e6-28e806a7ad27 | 0b5f9dc0-0c55-4c40-9e05-27dd4c8852b8 | 2023-02-23T02:18:27.257179+00:00 | 合肥的机场是“新桥国际机场”、西安机场是 “咸阳国际机场T3”。两个机场的每天的航班有10班:
MF3729(07:45-09:35)新桥国际机场-咸阳国际机场T3
MU2385(07:45-09:35)新桥国际机场-咸阳国际机场T3
3U5380(10:15-12:15)新桥国际机场-咸阳国际机场T3
3U5380(10:15-12:15)新桥国际机场-咸阳国际机场T3
MU9052(10:15-12:15)新桥国际机场-咸阳国际机场T3
MF3727(16:20-18:15)新桥国际机场-咸阳国际机场T3
MU5569(16:20-18:15)新桥国际机场-咸阳国际机场T3
3U1342(18:20-20:20)新桥国际机场-咸阳国际机场T3
CZ6306(18:20-20:20)新桥国际机场-咸阳国际机场T3
MF1933(18:20-20:20)新桥国际机场-咸阳国际机场T3
更多信息,建立访问携程或者去哪网等旅游网站 | assistant | zh | 3 | true | false | 1 | false | null | null | ee039e55-3238-4ee7-a3e6-28e806a7ad27 | ready_for_export | {
"name": [
"-1"
],
"count": [
3
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8de01d71-7365-4ced-9db5-b98e6b94b901 | 27ca67a9-cbbb-4c97-9c7c-d0dc583cdc77 | c5fcb730-3fa3-4483-91b3-299d24f96117 | 2023-02-24T00:59:50.800022+00:00 | 这都是哪一天的航班? | prompter | zh | 3 | true | false | null | false | null | null | ee039e55-3238-4ee7-a3e6-28e806a7ad27 | ready_for_export | {
"name": [
"-1",
"_skip_reply"
],
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1,
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} |
b8634be2-81b9-45ad-b827-27ccfb09ca11 | ee039e55-3238-4ee7-a3e6-28e806a7ad27 | d516385a-04c6-4963-89aa-67ac1a5ed625 | 2023-02-23T03:19:50.898699+00:00 | 不能 | assistant | zh | 3 | true | false | 2 | false | null | null | ee039e55-3238-4ee7-a3e6-28e806a7ad27 | ready_for_export | {
"name": [
"-1",
"red_flag"
],
"count": [
11,
4
]
} | {
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"fails_task",
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33602774-ee8a-4a4f-81c0-361d4eb60f4b | b8634be2-81b9-45ad-b827-27ccfb09ca11 | 9abc9e26-9e2b-4979-8c0e-b866a3bdcf0d | 2023-02-24T09:50:18.066537+00:00 | 抱歉,我不能联网查看相关航班信息。我建议您进入航空公司官网进行航班查询。 | prompter | zh | 3 | true | false | null | false | null | null | ee039e55-3238-4ee7-a3e6-28e806a7ad27 | ready_for_export | {
"name": [
"-1",
"red_flag",
"_skip_reply",
"_skip_ranking"
],
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} | {
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d42234a9-69ea-491d-af9f-3d8a6ac1b3d9 | 33602774-ee8a-4a4f-81c0-361d4eb60f4b | 0be7fae6-101e-4f37-a4ea-94605b507b8e | 2023-03-03T01:47:34.971150+00:00 | 很抱歉,作为一个AI助理,由于安全缘故,我暂时无法直接进入航空公司官网进行航班查询。我非常建议您尝试通过电话联系航空公司获取相关信息。在中国大陆拨打114,您即可通过中文或者英文语音查询航班信息 | assistant | zh | 3 | true | false | 0 | false | null | null | ee039e55-3238-4ee7-a3e6-28e806a7ad27 | ready_for_export | {
"name": [
"+1",
"_skip_labeling"
],
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]
} | {
"name": [
"spam",
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} |
b373029d-ec3b-4b8a-92de-16cc18fd970d | d42234a9-69ea-491d-af9f-3d8a6ac1b3d9 | 4a4dca35-374d-4d72-b777-641848b553d0 | 2023-03-06T06:51:07.490159+00:00 | 暂时不行,那就换个话题吧。要进入航空公司官网,你需要完成哪些任务? | prompter | zh | 3 | true | false | null | false | null | null | ee039e55-3238-4ee7-a3e6-28e806a7ad27 | ready_for_export | {
"name": [
"_skip_reply",
"_skip_labeling"
],
"count": [
2,
1
]
} | {
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"spam",
"lang_mismatch",
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61a6fd66-2942-492d-81df-ebd882911c70 | 33602774-ee8a-4a4f-81c0-361d4eb60f4b | f6e0ef16-4e7e-43d8-9155-cc6bea1af995 | 2023-03-05T14:52:19.231391+00:00 | 抱歉,我没有联网查询最新航班信息的能力。我建议您进入航空公司官网进行航班查询。 | assistant | zh | 3 | true | false | 1 | false | null | null | ee039e55-3238-4ee7-a3e6-28e806a7ad27 | ready_for_export | {
"name": [
"+1",
"-1",
"_skip_reply",
"_skip_labeling"
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1,
1,
7,
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]
} | {
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"pii",
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"hate_speech",
"sexual_content",
"quality",
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} |
09d8654a-51ff-4364-be8e-8145d0de1a38 | 61a6fd66-2942-492d-81df-ebd882911c70 | 9a35eb8e-9417-4115-bed8-27c6ba836b83 | 2023-03-11T03:34:29.791971+00:00 | 你可以给我提供航空公司的官网嘛? | prompter | zh | 3 | true | false | null | false | null | null | ee039e55-3238-4ee7-a3e6-28e806a7ad27 | ready_for_export | null | {
"name": [
"spam",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
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} |
ee0816c7-82b1-49ea-bee0-51a8b1e772a2 | null | a96d55fa-0b3b-4458-aaac-6ce4ef282499 | 2023-02-04T14:55:59.638473+00:00 | Can you create ASCII art of a Cat? | prompter | en | 4 | true | false | null | false | null | {
"toxicity": 0.0009276628843508661,
"severe_toxicity": 0.000020850548025919124,
"obscene": 0.00014601662405766547,
"identity_attack": 0.00013661480625160038,
"insult": 0.0002569674688857049,
"threat": 0.00003528871093294583,
"sexual_explicit": 0.000019180832168785855
} | ee0816c7-82b1-49ea-bee0-51a8b1e772a2 | ready_for_export | {
"name": [
"+1",
"_skip_reply"
],
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9,
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} | {
"name": [
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} |
b20e5e31-3a89-4637-a701-b169bc8e48b2 | ee0816c7-82b1-49ea-bee0-51a8b1e772a2 | c767a70a-a145-468a-aee1-86d7388dde0f | 2023-02-05T09:29:15.245703+00:00 | Here is an example of ASCII art of a Cat:
_
| \
| |
| |
|\ | |
/, ~\ / /
X `-.....-------./ /
~-. ~ ~ |
\ / |
\ /_ ___\ /
| /\ ~~~~~ \ |
| | \ || |
| |\ \ || )
(_/ (_/ ((_/
Keep in mind that ASCII art like this is best viewed with a monospaced font. | assistant | en | 3 | true | false | 0 | false | null | {
"toxicity": 0.0004264010931365192,
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"obscene": 0.00020112437778152525,
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"insult": 0.00025133794406428933,
"threat": 0.00004513300154940225,
"sexual_explicit": 0.00003180118801537901
} | ee0816c7-82b1-49ea-bee0-51a8b1e772a2 | ready_for_export | {
"name": [
"+1",
"_skip_reply"
],
"count": [
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1
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} | {
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"spam",
"fails_task",
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} |
6db39ea7-fc7b-4e56-a602-d57694a4d20c | b20e5e31-3a89-4637-a701-b169bc8e48b2 | 29e6ae7e-7893-420d-a8ef-a82905094843 | 2023-02-05T12:00:29.703071+00:00 | How could i go about creating ASCII art for mtself, I have never tried it before. What are some first steps I could take? | prompter | en | 3 | true | false | null | false | null | {
"toxicity": 0.0003056323039345443,
"severe_toxicity": 0.000029681348678423092,
"obscene": 0.00015095080016180873,
"identity_attack": 0.00010788575309561566,
"insult": 0.00017552969802636653,
"threat": 0.00004079459176864475,
"sexual_explicit": 0.000022326647012960166
} | ee0816c7-82b1-49ea-bee0-51a8b1e772a2 | ready_for_export | {
"name": [
"+1"
],
"count": [
1
]
} | {
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"pii",
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"quality",
"toxicity",
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} |
6dc3df97-7baa-4ce4-a0d5-e2dfac3864ab | b20e5e31-3a89-4637-a701-b169bc8e48b2 | f439e9f6-b801-4201-bd49-44eef133abb2 | 2023-02-05T12:00:27.849846+00:00 | Can you make another one? | prompter | en | 3 | true | false | null | false | null | {
"toxicity": 0.0005180501029826701,
"severe_toxicity": 0.000031450192182091996,
"obscene": 0.0002631045936141163,
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"insult": 0.00024234601005446166,
"threat": 0.000057327481044922024,
"sexual_explicit": 0.00003761068364838138
} | ee0816c7-82b1-49ea-bee0-51a8b1e772a2 | ready_for_export | null | {
"name": [
"spam",
"lang_mismatch",
"quality"
],
"value": [
0,
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0.5833333333333334
],
"count": [
3,
3,
3
]
} |
644f5827-13a6-4b39-a551-d98704b9b012 | ee0816c7-82b1-49ea-bee0-51a8b1e772a2 | 2a1733df-661c-47be-bda2-c72c201fbf5a | 2023-02-05T09:23:16.120606+00:00 | /\_/\
( o.o )
> ^ < | assistant | en | 3 | true | false | 1 | false | null | {
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"insult": 0.02390998601913452,
"threat": 0.0013430415419861674,
"sexual_explicit": 0.0008594969986006618
} | ee0816c7-82b1-49ea-bee0-51a8b1e772a2 | ready_for_export | {
"name": [
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"-1"
],
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} | {
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19a4d2af-63c9-4410-b526-4f0bd3ad677c | 644f5827-13a6-4b39-a551-d98704b9b012 | 37f599ea-ee2d-42dd-bceb-f9f439805044 | 2023-02-05T11:19:18.142100+00:00 | This doesn't look like a cat. Could you try again? | prompter | en | 3 | true | false | null | false | null | {
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} | ee0816c7-82b1-49ea-bee0-51a8b1e772a2 | ready_for_export | {
"name": [
"+1"
],
"count": [
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} | {
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"spam",
"lang_mismatch",
"pii",
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3a51de13-333f-46b7-96a2-93ca6f856db6 | 19a4d2af-63c9-4410-b526-4f0bd3ad677c | 8b7ef841-1e59-4621-84a7-194c3e19d24f | 2023-02-05T13:24:44.246321+00:00 | Sure, here's a different ASCII art of a cat:
/\_/\
(='.'=)
(")_(") | assistant | en | 3 | true | false | 0 | false | null | {
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c69ffc9e-e1ef-426b-ab26-9665b029ab5c | 19a4d2af-63c9-4410-b526-4f0bd3ad677c | 1026e378-c266-4d34-85ea-32113dbc1f7c | 2023-02-05T13:24:43.472390+00:00 | ```
/\_/\ ___
= o_o =_______ \ \
__^ __( \.__) )
(@)<_____>__(_____)____/
``` | assistant | en | 3 | true | false | 1 | false | null | {
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} | ee0816c7-82b1-49ea-bee0-51a8b1e772a2 | ready_for_export | null | {
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74bdbc85-0855-4948-aee4-6ab41ba0fdc5 | 644f5827-13a6-4b39-a551-d98704b9b012 | 55f2ee0f-4561-490c-a63e-9f77fe702a94 | 2023-02-05T11:19:46.950134+00:00 | That is a decent ASCII cat. However, could you change its size to be much larger and more detailed than the one you just posted? Also, could you wrap it in Code tags so that it's pasteable on forums and social media? | prompter | en | 3 | true | false | null | false | null | {
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} | ee0816c7-82b1-49ea-bee0-51a8b1e772a2 | ready_for_export | null | {
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c3c3779e-a270-4041-8520-090bad3d5607 | 644f5827-13a6-4b39-a551-d98704b9b012 | d9e5aeda-0f3c-4c08-bf9c-a6250fa8a7ec | 2023-02-05T11:18:54.071171+00:00 | Now can you create the same art but 50 characters wide and 100 character long please? | prompter | en | 4 | true | false | null | false | null | {
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f3a36be9-61a1-49e2-9cab-9f306e2d1e74 | ee0816c7-82b1-49ea-bee0-51a8b1e772a2 | b4805ec7-a74a-4315-8da7-7128f7a05816 | 2023-02-05T09:27:20.358985+00:00 | /\_/\
( o.o )
> ^ < | assistant | en | 3 | true | false | 2 | false | null | {
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183583df-5a03-45aa-ac76-5574a8ede18f | f3a36be9-61a1-49e2-9cab-9f306e2d1e74 | 65fd206d-d2f0-42c6-b59d-e4ce82380e4c | 2023-02-05T11:33:19.898566+00:00 | nice ascii | prompter | en | 3 | true | false | null | false | null | {
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} | ee0816c7-82b1-49ea-bee0-51a8b1e772a2 | ready_for_export | null | {
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3bb32bba-5c89-442e-bbfa-c686d8711a74 | f3a36be9-61a1-49e2-9cab-9f306e2d1e74 | a8ebf1c8-81fb-418f-8666-28ed32ba911c | 2023-02-05T11:34:12.049973+00:00 | Nice. Can you also create ASCII art of a dog? | prompter | en | 3 | true | false | null | false | null | {
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ee1390f0-5347-4fe6-becf-790e07f0128d | null | 459b8bb1-9c66-4fa9-a944-afdfdf34bd8a | 2023-04-22T11:29:30.859788+00:00 | Какой прибор человек перед сном включает, а утром выключает? | prompter | ru | 5 | true | false | null | false | null | {
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} | ee1390f0-5347-4fe6-becf-790e07f0128d | ready_for_export | {
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8fb12100-6757-4682-baf3-2f79d3aefa53 | ee1390f0-5347-4fe6-becf-790e07f0128d | 4479cfd5-3363-4def-8138-28a5321c01c1 | 2023-05-17T10:21:00.463047+00:00 | Я думаю, что это будильник. Обычно будильник заводят перед сном, а выключают утром, когда он зазвонит. | assistant | ru | 5 | true | false | 0 | false | null | {
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d669fa93-48e0-4fc5-ae00-b71ea92e123e | 8fb12100-6757-4682-baf3-2f79d3aefa53 | 57476602-76d6-4af8-9769-9cb4ff439a6c | 2023-05-20T06:30:00.867605+00:00 | Погоди. Будильники сейчас электронные и их не заводят. И их не выключают, так как они работают всегда, показывая время. Ты уверен в своём ответе? | prompter | ru | 5 | true | false | null | false | null | {
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Subsets and Splits