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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
51742f4b-135c-4cab-a465-254df18fc14b
|
ab5afd90-d0c7-4878-97b2-ca039b72a0d8
|
770451a3-459c-45c9-abf6-8eda66c52042
|
2023-04-08T12:26:58.984974+00:00
|
害群之马。
|
prompter
|
zh
| 3 | true | false | null | false | null | null |
413bd266-7cb6-44a0-bbcd-e40efa610ceb
|
ready_for_export
| null |
{
"name": [
"spam",
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"sexual_content",
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b1ed3afe-67ff-46ef-8a58-507512e217e8
|
51742f4b-135c-4cab-a465-254df18fc14b
|
37479105-902e-4e06-b261-4e5c0232a834
|
2023-04-09T11:20:53.610177+00:00
|
马到成功。
|
assistant
|
zh
| 3 | true | false | 0 | false | null | null |
413bd266-7cb6-44a0-bbcd-e40efa610ceb
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ready_for_export
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{
"name": [
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770451a3-459c-45c9-abf6-8eda66c52042
|
2023-04-09T12:59:12.676272+00:00
|
马失前蹄。
|
assistant
|
zh
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413bd266-7cb6-44a0-bbcd-e40efa610ceb
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50e1bd1d-f9a9-4cac-a630-6f8209dca013
| null |
aed34dc9-abc1-47a7-80a3-059d9b63b9ee
|
2023-02-05T01:28:45.637891+00:00
|
私は、面接で志望動機について聞かれたので、「やりがいを感じられる仕事だからです」と答えたら、妙な顔で「具体的には？」と聞かれて上手く答えられませんでした…
あの面接でどう答えたら良かったんでしょうか？
あと、志望動機でやりがいを理由にしたいとき、どう伝えたらうまく伝わるのでしょうか…
|
prompter
|
ja
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50e1bd1d-f9a9-4cac-a630-6f8209dca013
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ready_for_export
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{
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|
50e1bd1d-f9a9-4cac-a630-6f8209dca013
|
09db00de-a34b-44b9-873a-cb446bdf81b0
|
2023-02-23T09:18:53.424822+00:00
|
面接お疲れさまでした。上手く答えられなくて、悔しかったでしょうね。
これは推測でしかありませんが、
面接官は、あなたがどのようなことにやりがいを感じる人なのか、知りたかったのかもしれません。
たとえば、学校生活などでも、ひとくちに「勉強をしている」と言っても、
本を読む、解説動画を見る、先生に質問する、書き取り練習をするなど、
具体的な小さな作業に分かれていますね。
仕事も同じで、たとえば「貿易をしている」と言っても、
具体的な作業によってものごとを進めているはずです。
あなたがその仕事に就いたとしたら、それらをあなたがやることになります。
だから、その仕事を構成する具体的な作業について、あなたが能力を発揮できるかどうかは、重要なことです。
あなたはどんなことが好き・または得意で、やりがいを感じるのか、
なるべく最近の思い出から例をとって、
志望する会社での業務の中で同じようにやりがいを感じられると思う筋道を示せば、
あなたがその会社にぴったりの人材であると思ってもらえるかもしれません。
面接官を経験したことのある大人がいたら、相談してみるのも一つです。
あなたが学校の生徒であれば、学校の就職相談の窓口で、卒業生を紹介してもらえるかもしれません。
また、日本では各都市にハローワークが就職についての相談に乗ってくれますよ。
ご承知の上でしたら申し訳ありませんが、
オープンアシスタントは、いかにもそれらしい文字列を生成するプログラムでしかないことにご留意ください。
|
assistant
|
ja
| 3 | true | false | 0 | false | null | null |
50e1bd1d-f9a9-4cac-a630-6f8209dca013
|
ready_for_export
| null |
{
"name": [
"spam",
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|
e5bb49f6-4ad5-4f0b-9c2b-e29c8c035f89
|
50e1bd1d-f9a9-4cac-a630-6f8209dca013
|
068951d1-4a1e-4d91-9c29-0090fdf9366d
|
2023-02-06T02:58:53.488451+00:00
|
面接で特定の仕事を志望する理由を述べる場合、詳細かつプロフェッショナルで、よく練られた説明をすることが重要です。まず、その仕事に興味を持った理由、例えば特定のチームと働けるとか、特定のスキルを生かせるとか、そういうことを話すべきでしょう。さらに、会社そのものや、その価値観、使命、文化など、働く場所として望ましいと思われる点について述べます。最後に、関連する経験や新しいスキルを素早く習得する能力など、自分が会社にもたらす利点について述べます。全体として、志望動機は正直かつ誠実に話すことが重要で、それが面接官に良い印象を与えることにつながります。
|
assistant
|
ja
| 3 | true | false | 1 | false | null | null |
50e1bd1d-f9a9-4cac-a630-6f8209dca013
|
ready_for_export
|
{
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],
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]
}
|
{
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|
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|
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|
f97e12e2-c28a-49e7-acd2-6eb9507aef34
|
2023-02-19T23:28:58.484753+00:00
|
例文を書いてみてくれない？
|
prompter
|
ja
| 3 | true | false | null | false | null | null |
50e1bd1d-f9a9-4cac-a630-6f8209dca013
|
ready_for_export
|
{
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|
{
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|
a276fbb6-90c7-498d-836a-a589db92fe36
|
50e1bd1d-f9a9-4cac-a630-6f8209dca013
|
487092aa-3e23-4195-a8d7-41ea5e06df47
|
2023-02-06T03:06:53.455048+00:00
|
その場での行動というよりは、ありがちな質問なので事前にいくつか想定して対応を準備していた方がよかったのではないでしょうか。
やりがいを感じる具体的な理由を答えるとより伝わりやすいです。
|
assistant
|
ja
| 3 | true | false | 2 | false | null | null |
50e1bd1d-f9a9-4cac-a630-6f8209dca013
|
ready_for_export
|
{
"name": [
"+1"
],
"count": [
2
]
}
|
{
"name": [
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"fails_task",
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|
cbda74be-d731-462e-bc9a-26b7ad1b3cba
|
a276fbb6-90c7-498d-836a-a589db92fe36
|
046024c7-32c8-4718-b435-9d9e7eed4c40
|
2023-02-06T20:17:20.410436+00:00
|
わかりました、具体的に考えて次の面接に挑んでみます。
|
prompter
|
ja
| 3 | true | false | null | false | null | null |
50e1bd1d-f9a9-4cac-a630-6f8209dca013
|
ready_for_export
|
{
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],
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]
}
|
{
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|
9f263442-5523-41ce-915c-a0b2a7a23afa
|
cbda74be-d731-462e-bc9a-26b7ad1b3cba
|
b8f863ae-c0b9-4b02-b689-bc7c67670eec
|
2023-02-25T20:03:51.517343+00:00
|
あなたならきっとうまくいくはずです。自分に自信を持って、堂々と挑んでみましょう。
|
assistant
|
ja
| 3 | true | false | 0 | false | null | null |
50e1bd1d-f9a9-4cac-a630-6f8209dca013
|
ready_for_export
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{
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]
}
|
{
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|
e97bbec3-c822-415f-8101-d4cc3c690174
|
9f263442-5523-41ce-915c-a0b2a7a23afa
|
20565533-bb52-456d-8464-b56a88235856
|
2023-02-26T16:36:19.171290+00:00
|
ありがとうございます。
|
prompter
|
ja
| 3 | true | false | null | false | null | null |
50e1bd1d-f9a9-4cac-a630-6f8209dca013
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ready_for_export
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{
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|
{
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|
c5a93770-3802-4b19-af33-4dc17f02bf3a
|
e97bbec3-c822-415f-8101-d4cc3c690174
|
2217ed15-08e7-48f3-b59a-ef4b5d9e1bcd
|
2023-03-01T07:21:43.866965+00:00
|
どういたしまして。ご健闘をお祈りします。
|
assistant
|
ja
| 3 | true | false | null | false | null | null |
50e1bd1d-f9a9-4cac-a630-6f8209dca013
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ready_for_export
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|
{
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|
cbda74be-d731-462e-bc9a-26b7ad1b3cba
|
2217ed15-08e7-48f3-b59a-ef4b5d9e1bcd
|
2023-02-25T20:09:27.605370+00:00
|
良い結果になることを祈ります。頑張ってください！
|
assistant
|
ja
| 3 | true | false | 1 | false | null | null |
50e1bd1d-f9a9-4cac-a630-6f8209dca013
|
ready_for_export
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2217ed15-08e7-48f3-b59a-ef4b5d9e1bcd
|
2023-02-26T22:02:05.867188+00:00
|
頑張ってきます！！
|
prompter
|
ja
| 3 | true | false | null | false | null | null |
50e1bd1d-f9a9-4cac-a630-6f8209dca013
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ready_for_export
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|
09db00de-a34b-44b9-873a-cb446bdf81b0
|
2023-03-07T10:43:45.109219+00:00
|
いってらっしゃいませ！
|
assistant
|
ja
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ready_for_export
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|
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b91c2cd9-78cb-48c8-81e9-ab9548b1f1cb
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2023-02-04T17:22:18.996295+00:00
|
I am in the process of creating a back-end interface for multiple micro-controllers to communicate data to each other. When one sends a request, it creates a group. The others are notified and can join the group as well. What would be the best architecture for the database? It needs to keep track of when each group was created, how many micro-controllers joined and when it ended.
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5cfbabf1-b58f-4130-9548-0b9c6b179ba2
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34edfa5f-2c86-4255-9098-3d93d5df5f2f
|
2023-03-12T03:21:23.139127+00:00
|
For this use case, a relational database would be a good choice as it can easily store and retrieve structured data. Here is a possible database schema:
Table: Group
id (primary key)
created_at
ended_at
Table: Microcontroller
id (primary key)
group_id (foreign key to Group)
joined_at
In this schema, each group is represented as a row in the Group table with a unique ID, the time it was created, and the time it ended (if applicable). When a microcontroller joins a group, a row is added to the Microcontroller table with its own unique ID and a foreign key reference to the group it joined. The joined_at column records the time when the microcontroller joined the group.
To query the number of microcontrollers that joined a particular group and when they joined, you can use a JOIN statement between the Group and Microcontroller tables. For example:
SELECT Microcontroller.id, Microcontroller.joined_at
FROM Group
JOIN Microcontroller ON Group.id = Microcontroller.group_id
WHERE Group.id = [group ID];
This will return a list of microcontroller IDs and their join times for the specified group ID.
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2d40e94c-40ed-4e00-a66e-454c0401c8ad
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2023-03-14T07:37:46.070540+00:00
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Can you provide an example of how you would implement a notification system to inform micro-controllers when a new group has been created and how they can join it?
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5cfbabf1-b58f-4130-9548-0b9c6b179ba2
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068951d1-4a1e-4d91-9c29-0090fdf9366d
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2023-03-11T20:18:44.555406+00:00
|
From what you've described, it sounds like you need a database architecture and schema that can efficiently store and track information about the communication groups between your micro-controllers. Some suggestions would be:
- Use a relational database with multiple tables. This would allow you to store group information, member information, and time stamps in separate tables with relationships between them. This makes the data structure flexible and scalable.
- Include a "groups" table to store group ID, creation time, and end time. Include a "members" table to store member ID and group ID. This would allow you to see which members joined which groups and when.
- Implement an efficient messaging system between your micro-controllers and database to transfer data in real-time. This could utilize web sockets or server-sent events to push updates to members as groups are created or joined.
- Ensure proper security and access control is in place based on the sensitivity of your data and system requirements. You may need measures to prevent unauthorized access or avoid overloading the database.
- Plan for scalability by using a database that can handle large amounts of data and many simultaneous connections if you expect your system to grow.
Does this help provide some guidance on how to approach the database architecture and implementation for your system? Let me know if you have any other questions!
|
assistant
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e0651303-3365-48bf-b5fd-6b65d1cf0217
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bc538f6a-dcb3-4411-a876-b03544d8dde4
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2023-03-14T06:22:48.461666+00:00
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How should the system handle micro-controllers going offline?
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1c65d881-b53d-42ea-80a9-7a0d6b5ded34
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8dd4b2da-2946-4f49-94d1-4e6c1f91094e
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a289b3c8-8ce4-4ee0-8a95-06932a51c124
|
2023-03-14T18:53:22.226871+00:00
|
Handling offline micro-controllers is an important consideration for your back-end interface. There are different approaches you can take depending on the specific requirements of your application. Here are a few suggestions:
Timeouts: One option is to use timeouts to determine when a micro-controller has gone offline. You can configure a timeout period for each micro-controller, and if the system doesn't receive a message or response from that micro-controller within the timeout period, it can mark it as offline. You can then update the database accordingly to reflect the offline status of the micro-controller.
Heartbeat messages: Another approach is to have each micro-controller send regular heartbeat messages to the back-end system. These messages can be sent at regular intervals, and if the back-end system doesn't receive a heartbeat message within a certain time frame, it can mark the micro-controller as offline. This approach requires more communication overhead but can be more accurate in detecting offline micro-controllers.
Redundancy: To ensure the system can handle offline micro-controllers without disruption, you may want to consider adding redundancy to your system. For example, you can have multiple micro-controllers for each group, and if one goes offline, the others can continue to communicate and keep the group operational. This can be achieved by using a load balancer or similar technology.
Regardless of the approach you choose, it's important to have a mechanism in place for detecting and handling offline micro-controllers to ensure the system remains reliable and functional.
|
assistant
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3f021967-edd4-48cb-989d-349a7b412ffa
|
2023-03-11T20:30:09.913418+00:00
|
For a back-end interface that handles multiple micro-controllers, a relational database management system (RDBMS) would be the most suitable choice for storing and organizing data.
Here are some key features of an RDBMS:
```
Data is stored in tables: The RDBMS stores data in tables, where each table has a name and consists of rows and columns.
Each column represents a specific type of data, and each row represents a specific record.
```
```
Tables are related: Tables can be related to each other through the use of keys.
A key is a column or set of columns that uniquely identifies each row in a table.
By using keys, tables can be related to each other, allowing data to be organized and accessed in meaningful ways.
```
```
SQL is used to interact with the database:
Structured Query Language (SQL) is a programming language used to interact with the RDBMS.
SQL is used to create tables, insert data, retrieve data, and perform other operations on the database.
```
```
ACID properties: An RDBMS is designed to ensure that data is stored and retrieved reliably.
To do this, the RDBMS follows the ACID properties: Atomicity, Consistency, Isolation, and Durability.
These properties ensure that transactions are processed reliably and that data is not lost or corrupted.
```
Does that help? Let me know if you have any more questions
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a970053d-4d0f-4dbe-8b7c-79631cb6263b
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2023-03-11T23:04:18.370724+00:00
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Can you provide a popular relational database and how to set it up for this?
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1aaa9be1-0d07-4cb2-a2d7-4301cbfc4ecc
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2023-03-13T04:48:55.779544+00:00
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Yes, a popular relational database management system is PostgreSQL. Here are the steps to set up PostgreSQL for this scenario:
1. Install PostgreSQL on the server where the database will be hosted.
2. Create a new database in PostgreSQL using the CREATE DATABASE command.
3. Create tables in the database to store the data for the micro-controllers and their groups.
4. Define the relationships between the tables using primary and foreign keys.
5. Set up the necessary permissions for the micro-controllers to access the database.
6. Implement the necessary API endpoints in the back-end interface to interact with the database using SQL queries.
Here is an example SQL script to create the tables for this scenario:
```sql
CREATE TABLE microcontrollers (
id SERIAL PRIMARY KEY,
name TEXT NOT NULL,
ip_address TEXT NOT NULL
);
CREATE TABLE groups (
id SERIAL PRIMARY KEY,
name TEXT NOT NULL,
created_at TIMESTAMP NOT NULL DEFAULT NOW(),
ended_at TIMESTAMP,
num_microcontrollers INTEGER NOT NULL DEFAULT 0
);
CREATE TABLE group_microcontrollers (
id SERIAL PRIMARY KEY,
group_id INTEGER REFERENCES groups(id),
microcontroller_id INTEGER REFERENCES microcontrollers(id)
);
```
This creates three tables: microcontrollers, groups, and group_microcontrollers. The microcontrollers table stores information about each microcontroller, such as its name and IP address. The groups table stores information about each group, including its name, creation time, end time, and the number of microcontrollers in the group. The group_microcontrollers table is a join table that associates each microcontroller with the group(s) it belongs to.
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2d40e94c-40ed-4e00-a66e-454c0401c8ad
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2023-03-14T07:35:14.649967+00:00
|
Is there a way to ensure that a micro-controller can only be a part of one group at a time in the database?
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aebe5d5a-0349-4367-a791-98cc4b6ec5b1
|
2023-03-13T08:04:51.069075+00:00
|
Relational databases are typically resource-intensive and not commonly run on microcontrollers, which usually have limited processing power and storage capacity. However, there are some lightweight databases that can run on microcontrollers with constrained resources.
LittleD is a relational database for microprocessor devices, using as little as 1kB of RAM for most queries. This currently has 713 stars on GitHub. The GitHub address is: https://github.com/graemedouglas/LittleD
As setup steps can change frequently, it’s best to refer to the latest documentation in their repository. First view the Readme.md. Currently the latest docs specify to use the make command to build the library and utilities. Look in the LittleD/arduino/sketch.ino for example usage.
|
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f3da482b-0561-4173-8c19-07f968478bf5
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Can you explain what fan fiction is?
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964b0c9a-9220-4c38-b458-5d6dee485421
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2023-02-23T06:46:00.522992+00:00
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How can I use BERT to perform zero-shot text classification?
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4b87b778-429c-4a18-b6f2-fde1a884fff4
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2023-02-25T04:11:21.563265+00:00
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BERT (Bidirectional Encoder Representations from Transformers) is a powerful language model that can be used for many natural language processing tasks, including zero-shot text classification. Here are the general steps to use BERT for zero-shot text classification:
1. Fine-tune a pre-trained BERT model on a related task: To use BERT for zero-shot text classification, you need to fine-tune a pre-trained BERT model on a related task, such as sentiment analysis, news classification, or question-answering. This will enable the model to learn the patterns and relationships between words and sentences.
2. Define the classes and create the prompt: In zero-shot text classification, you need to define the classes or labels that you want to classify the text into. You also need to create a prompt that includes the classes and some context about the text you want to classify.
3. Encode the prompt and the text: To encode the prompt and the text, you can use BERT's tokenization process to convert the text into a sequence of tokens and then encode them into a vector representation using BERT's encoder.
4. Calculate the similarity scores: Once you have the encoded vectors for the prompt and the text, you can calculate the similarity scores between the prompt and each class. You can use various techniques such as dot product, cosine similarity, or softmax to calculate the scores.
5. Classify the text: Based on the similarity scores, you can classify the text into the class with the highest score.
Overall, zero-shot text classification with BERT involves fine-tuning a pre-trained BERT model on a related task, defining the classes, creating the prompt, encoding the prompt and the text, calculating the similarity scores, and classifying the text. This approach can be useful when you don't have labeled data for a specific task or when you want to classify text into classes that were not included in the training data.
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4c43e234-0e9c-4f0d-8780-4dd3803602c6
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2023-02-26T18:45:57.039440+00:00
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Repeat but provide it in a Junyper notebook format. The explanations should be followed by code samples in Python for each step.
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a599857d-befc-4857-8505-b0cca6afb4f3
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1aaa9be1-0d07-4cb2-a2d7-4301cbfc4ecc
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2023-02-26T23:55:15.322473+00:00
|
Sure, here is a step-by-step guide with code samples in a Jupyter notebook format for using BERT for zero-shot text classification:
Step 1: Fine-tune a pre-trained BERT model on a related task
First, you need to fine-tune a pre-trained BERT model on a related task, such as sentiment analysis, news classification, or question-answering. This will enable the model to learn the patterns and relationships between words and sentences.
Here's an example of how to fine-tune a pre-trained BERT model for sentiment analysis using the Hugging Face Transformers library:
```python
# Install the required libraries
!pip install torch
!pip install transformers
# Import the required libraries
import torch
from transformers import BertTokenizer, BertForSequenceClassification, pipeline
# Load the pre-trained BERT model and tokenizer
model_name = 'bert-base-uncased'
model = BertForSequenceClassification.from_pretrained(model_name, num_labels=2)
tokenizer = BertTokenizer.from_pretrained(model_name)
# Define the training data for sentiment analysis
train_texts = ['I love this product', 'This product is terrible']
train_labels = [1, 0]
# Define the training parameters
batch_size = 2
num_epochs = 3
learning_rate = 2e-5
# Convert the training data into input features for BERT
train_encodings = tokenizer(train_texts, padding=True, truncation=True, return_tensors='pt')
train_labels = torch.tensor(train_labels)
# Define the optimizer and loss function
optimizer = torch.optim.Adam(model.parameters(), lr=learning_rate)
loss_fn = torch.nn.CrossEntropyLoss()
# Fine-tune the BERT model on the sentiment analysis task
for epoch in range(num_epochs):
model.train()
optimizer.zero_grad()
outputs = model(input_ids=train_encodings['input_ids'],
attention_mask=train_encodings['attention_mask'],
labels=train_labels)
loss = outputs.loss
loss.backward()
optimizer.step()
print(f'Epoch {epoch+1}/{num_epochs}: Loss={loss.item():.4f}')
# Save the fine-tuned BERT model
model.save_pretrained('./fine_tuned_bert')
tokenizer.save_pretrained('./fine_tuned_bert')
```
Step 2: Define the classes and create the prompt
In zero-shot text classification, you need to define the classes or labels that you want to classify the text into. You also need to create a prompt that includes the classes and some context about the text you want to classify.
Here's an example of how to define the classes and create the prompt for sentiment analysis:
```python
# Define the classes for sentiment analysis
classes = ['Positive', 'Negative']
# Create the prompt for sentiment analysis
prompt = "Please classify the following text as either positive or negative: "
```
Step 3: Encode the prompt and the text
To encode the prompt and the text, you can use BERT's tokenization process to convert the text into a sequence of tokens and then encode them into a vector representation using BERT's encoder.
Here's an example of how to encode the prompt and the text:
```python
# Load the fine-tuned BERT model and tokenizer
model_name = './fine_tuned_bert'
model = pipeline('text-classification', model=model_name, tokenizer=model_name)
tokenizer = BertTokenizer.from_pretrained(model_name)
# Define the input text for classification
input_text = "I really enjoyed using this product."
# Tokenize and encode the prompt and the input text
prompt_encodings = tokenizer(prompt, add_special_tokens=False, return_tensors='pt')
input_encodings = tokenizer(input_text, padding=True, trunc
```
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ae5f7d74-b568-4506-8602-a1a4e7beffc3
|
2023-02-27T16:58:24.307298+00:00
|
Thank you. What is a good example of a business use case that may utilize a fine-tuned BERT transformer to solve a specific problem for a company – with the goal of either reducing ordinary operating costs, or improving top-line revenue? Please be as specific as possible.
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a599857d-befc-4857-8505-b0cca6afb4f3
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2d40e94c-40ed-4e00-a66e-454c0401c8ad
|
2023-02-27T02:52:00.011934+00:00
|
Sure, here's an example of how to use BERT for zero-shot text classification in a Jupyter notebook, including code samples in Python for each step.
First, you need to install the necessary libraries:
```
!pip install transformers
!pip install torch
```
Next, you can import the required libraries and load a pre-trained BERT model:
```
from transformers import pipeline, AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("nlptown/bert-base-multilingual-uncased-sentiment")
model = AutoModelForSequenceClassification.from_pretrained("nlptown/bert-base-multilingual-uncased-sentiment")
nlp = pipeline("sentiment-analysis", tokenizer=tokenizer, model=model)
```
Here, we're using the "nlptown/bert-base-multilingual-uncased-sentiment" model, which has been fine-tuned on a sentiment analysis task. You can use other pre-trained models or fine-tune your own BERT model on a related task.
Next, you can define the classes and create the prompt:
```
classes = ["positive", "negative", "neutral"]
prompt = "This text is about {}."
```
Here, we're defining three classes - positive, negative, and neutral - and creating a prompt that includes the classes and some context about the text we want to classify.
Next, you can define the text you want to classify and encode it using the BERT tokenizer:
```
text = "I really enjoyed the movie, it was great!"
encoded_text = tokenizer(prompt.format(text), padding=True, truncation=True, return_tensors="pt")
```
Here, we're using the BERT tokenizer to encode the prompt and the text, with padding and truncation to ensure that the input has a fixed length, and returning the encoded input as PyTorch tensors.
Next, you can calculate the similarity scores between the encoded text and the prompt for each class:
```
scores = model(**encoded_text)[0]
softmax = torch.nn.Softmax(dim=1)
probabilities = softmax(scores)
class_scores = probabilities[:, :3].detach().numpy().flatten()
```
Here, we're passing the encoded input to the BERT model to obtain the output scores for each class, applying a softmax function to obtain the probabilities, and flattening the scores for the three classes.
Finally, you can classify the text based on the highest score:
```
class_index = class_scores.argmax()
predicted_class = classes[class_index]
```
Here, we're using the numpy argmax function to find the index of the highest score, and mapping it to the corresponding class label.
Overall, this example demonstrates how to use BERT for zero-shot text classification in Python using a pre-trained model and a simple prompt-based approach. You can modify this code to use different pre-trained models, prompts, and classes depending on your specific use case.
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2023-02-27T17:42:18.494785+00:00
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I have a question
|
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2023-02-27T10:14:57.172776+00:00
|
You could use Huggingface transformers for this. Specifically the pipeline api.
|
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2023-02-28T01:57:24.916256+00:00
|
Can you write me the Python code for this?
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11f4d142-7d7b-4a76-acc5-ee0746d0b96e
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2023-02-25T02:50:57.935559+00:00
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A complete tutorial on zero-shot text classification is located at the following link.
https://analyticsindiamag.com › a-complete-tutorial-on
Unless, of course, you would like me to lie to you. And send you to the website with viruses that will also break into your bank account.
Please remember I'm an AI assistant tool. And you have chosen. Humours. As your desired interface mode. Of course if this becomes annoying. You can reset it to Sirius at any point in time.
In the event that this. Information is not provided in a humorous enough manner. You still have two more settings that are higher to choose from.
or
you can find complete tutorial at the following link I provided to you below.
https://analyticsindiamag.com/a-complete-tutorial-on-zero-shot-text-classification/
an example that could be helpful Is that!
!n fact? I am avoid data labelling!
we can utilise zero-shot learning that aims to perform modelling using less amount of labelled data. When this learning comes to text classification, we call the whole process zero-shot text classification.
Logic reminder.
As your AI assistant, I notice that you chose the logic reminder option, and I'm trying to reserve the amount of money and tokens that you're spending on access. Thus I am giving you. Too high quality links. To help you preserve. The longevity of your wallet. If you would rather have me provide a lesser example than these excellent links. And long lectures. Please use the appropriate box to adjust my response.
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068951d1-4a1e-4d91-9c29-0090fdf9366d
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2023-02-26T08:31:39.241359+00:00
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1. What are the key steps involved in zero-shot text classification? The text mentions that we avoid data labelling, but what specific steps are involved in the process?
2. What are the advantages of zero-shot text classification over traditional text classification approaches that use large amounts of labeled data? The text mentions that it uses less labeled data, but what specific advantages does this confer?
3. What are some examples of zero-shot text classification applications? The tutorial likely provides some examples, but can you provide some additional real-world applications of this technique?
4. What are some of the challenges with zero-shot text classification? While the technique has advantages, there are likely also some difficulties or limitations. Can you elaborate on what some of these challenges might be?
5. How does zero-shot text classification work under the hood? At a high level the text describes the process, but can you provide more technical details on the algorithms or models used to perform zero-shot text classification?
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2d40e94c-40ed-4e00-a66e-454c0401c8ad
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2023-02-27T03:17:34.748772+00:00
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Sure, I can answer your questions about zero-shot text classification:
1. The key steps involved in zero-shot text classification include:
- Defining a set of candidate labels that can be used to classify the text.
- Encoding the input text using a pre-trained language model, such as BERT.
- Using a classifier model to predict the likelihood of each candidate label based on the encoded text.
- Ranking the candidate labels by their predicted likelihood to obtain the most probable label.
2. The advantages of zero-shot text classification over traditional text classification approaches that use large amounts of labeled data include:
- It avoids the need for manual data labeling, which can be time-consuming and expensive.
- It allows for the classification of text into previously unseen categories or labels.
- It can be used to improve the performance of traditional supervised learning methods by providing additional information during training.
3. Some examples of real-world applications of zero-shot text classification include:
- Identifying the sentiment of social media posts related to a product, even if the product has not been previously labeled or mentioned in the training data.
- Categorizing news articles into different topics, without the need for predefined categories.
- Classifying customer support tickets into different categories based on their content, without the need for manually labeling the tickets.
4. Some of the challenges with zero-shot text classification include:
- Defining a suitable set of candidate labels that can be used to classify the text.
- Balancing the trade-off between accuracy and generalization when predicting labels for unseen categories.
- Dealing with noisy or ambiguous input text, which can negatively affect the classification performance.
5. Under the hood, zero-shot text classification typically involves using a pre-trained language model, such as BERT, to encode the input text and generate contextualized representations of the text. These representations are then used to predict the likelihood of each candidate label using a classifier model, such as a linear classifier or a multi-layer perceptron. The classifier model is trained on a separate set of labeled data, which may or may not include the candidate labels used in zero-shot text classification.
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2023-02-23T07:12:21.357597+00:00
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推荐十本科幻小说
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16a0630b-bc86-48a6-8c0e-3bd068da79f7
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2023-03-21T12:08:10.104501+00:00
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好的，以下是十本经典的科幻小说：
1. 《银河帝国》三部曲 - 艾萨克·阿西莫夫
2. 《荒野之息》- 罗杰·泽拉兹尼
3. 《霓虹时代》- 威廉·吉布森
4. 《2001: 太空漫游》- 亚瑟·克拉克
5. 《未来简史》- 尤瓦尔·赫拉利
6. 《星际迷航：新世代》- 吉恩·罗登贝瑞
7. 《雨果回忆录》- 菲利普·K·迪克
8. 《三体》三部曲 - 刘慈欣
9. 《时间机器》- H·G·威尔斯
10. 《黑暗森林》三部曲 - 刘慈欣
这些都是非常优秀的科幻小说作品，每一本都有其独特的价值和思考点。
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770451a3-459c-45c9-abf6-8eda66c52042
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2023-03-26T15:16:58.048204+00:00
|
《三体》三部曲不就已经包含《黑暗森林》了吗？你8和10重复了啊。
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770451a3-459c-45c9-abf6-8eda66c52042
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2023-03-29T06:49:49.547420+00:00
|
对不起，这是我的失误，而且尤瓦尔·赫拉利的《未来简史》也不是科幻小说，而是一部科技理论类著作；罗杰·泽拉兹尼也没有写过一部叫《荒野之息》的科幻小说；《雨果回忆录》也不是菲利普·K·迪克写的。所以实际上我只给出了六部科幻作品，其中还有几部不是小说而是电影。
上面这份推荐名单错误很多，以下是我纠正错误后，重新列举出的十部科幻小说：
1. 《三体全集+超新星纪元+球状闪电》 - **刘慈欣**。
2. 《银河帝国：基地七部曲》 - **艾萨克·阿西莫夫**。
3. 《太空漫游》四部曲 - **阿瑟·克拉克**。
4. 《一只黑猩猩的宇宙史》 - **施英巍**。
5. 《沙丘》六部曲 - **弗兰克·赫伯特**。
6. 《安德的游戏》三部曲 - **奥森·斯科特·卡德**。
7. 《海底两万里+八十天环游地球+神秘岛+格兰特船长的儿女》 - **儒勒·凡尔纳**。
8. 阿西莫夫科幻经典 - **艾萨克.阿西莫夫**。
9. 《海伯利安》四部曲 - **丹·西蒙斯**。
10. 《亚特兰蒂斯人类起源》三部曲 - **A.G.里德尔**。
希望这些建议能对你有所帮助！
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83650ba6-51d5-4de1-8428-453833c3ba88
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2023-03-29T07:27:25.446529+00:00
|
对不起，是我弄错了，《黑暗森林》属于《三体》三部曲中的一部。那我再向你推荐一部科幻小说：
10. 《仿生人会梦见电子羊吗？》 - 菲利普·K·迪克
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4a4dca35-374d-4d72-b777-641848b553d0
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2023-03-22T02:32:09.815771+00:00
|
1.弗兰克·赫伯特的《沙丘》
2.刘慈欣的《三体》
3.艾萨克·阿西莫夫的《基地》三部曲
4.乔治·奥威尔的《1984》
5.奥尔道斯·赫胥黎的《美丽新世界》
6.威廉·吉布森的《神经唤术士》
7.杰夫·范德米尔的《遗落的南境》
8.丹·西蒙斯的《海伯利安》
9.《深渊上的火》
10《华氏451度》
另外你可以根据著名科幻作家或者科幻小说奖选书
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2023-03-24T14:19:31.295194+00:00
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请告诉我这些书都讲了什么，并分类。
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16a0630b-bc86-48a6-8c0e-3bd068da79f7
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2023-03-25T11:36:14.366948+00:00
|
1. 弗兰克·赫伯特的《沙丘》描写了未来宇宙中一个荒芜的沙漠星球阿拉善，讲述了家族内斗、政治阴谋、宗教信仰以及对环境的控制。属于科幻小说，政治、家族、宗教等元素居多。
2. 刘慈欣的《三体》是一部描述外星文明和地球文明之间的互动的科幻小说。主要内容包括外星文明的入侵和侵略、人类的反抗和求生，还涉及时间跨域等概念。属于硬科幻小说，以科学、哲学和历史为主要元素。
3. 艾萨克·阿西莫夫的《基地》三部曲包括《基地》、《基地与帝国》和《第二基地》，讲述了人类在银河系中建立基地的过程以及基地的影响力逐渐扩大并最终推翻了银河帝国的故事。属于社会科幻小说，主要关注政治、社会变革等方面。
4. 乔治·奥威尔的《1984》描绘了一个极权主义社会的形象，讲述了一个名叫温斯顿·史密斯的普通人如何在这样的社会中生活和反抗。属于反乌托邦小说，主要探讨政治、思想控制等问题。
5. 奥尔道斯·赫胥黎的《美丽新世界》描述了一个极度稳定的世界，但这是建立在对人类本性的彻底控制之上的，讲述了主人公与这种社会体制进行斗争的过程。属于反乌托邦小说，主要关注社会控制、人性、自由等问题。
6. 威廉·吉布森的《神经漫游者》描写了虚拟现实技术高度发达的未来社会，主人公是一位“神经漫游者”，他能够进入虚拟空间并干预其中事物的发展。属于科幻小说，主要关注科技、网络和人类意识的交互作用。
7. 杰夫·范德米尔的《遗落的南境》描写了发生在北极圈内一个神秘区域里的故事，讲述了一支考察队为了解开谜团而展开的探险之旅。属于探险小说，主要关注自然环境、人类勇气和智慧等方面。
8. 丹·西蒙斯的《海伯利安》描写了一个由多个环形空间组成的太空站，讲述了这个社会体系中发生的一系列事件。属于硬科幻小说，主要关注科技、空间环境和人类文明等方面。
9. 《深渊上的火》是刘慈欣的一部短篇科幻小说，讲述了一个人类探险队进入深渊进行挖掘的故事，最终发生了一些出乎意料的事情。属于探险小说，主要关注未知区域和人类探索的冒险精神。
10. 《华氏451度》是一部反乌托邦小说，讲述了一个未来社会中禁止阅读书籍的故事。主人公是一个消防员，他的工作不是灭火而是烧毁书籍。属于社会科幻小说，主要关注思想、知识自由等问题。
综上所述，这些书籍主要分类为科幻小说、反乌托邦小说和探险小说等。它们涵盖了政治、哲学、科技、人性、自由、勇气和智慧等多个方面，深刻地反映了作者对于人类社会未来的思考和展望。
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**《沙丘》** 是美国科幻作家弗兰克·赫伯特的代表作，也是科幻小说史上的经典之作。它讲述了在遥远的未来，一个庞大的星际封建社会中，控制着珍贵资源“香料”的厄崔迪家族在遭遇背叛后，家族的继承人保罗·亚崔迪如何在沙漠星球阿拉基斯星上与沙虫、弗瑞曼人、敌对势力等进行斗争，最终成为先知和救世主的故事。
**《三体》** 是中国科幻作家刘慈欣的长篇科幻小说系列，由《三体》《三体2：黑暗森林》《三体3：死神永生》组成。它讲述了地球人类文明和三体文明的信息交流、生死搏杀及两个文明在宇宙中的兴衰历程。《三体》展现了一个宏大而逻辑自洽的宇宙观，探讨了人类在黑暗森林法则下的生存困境和道德选择。
**《基地》三部曲** 是美国科幻大师艾萨克·阿西莫夫的经典作品，是银河帝国系列的核心部分。它由《基地》、《基地与帝国》、《第二基地》三部小说组成，讲述了心理史学家哈里·谢顿利用数学预测了银河帝国的衰亡和黑暗时期，并设立了两个基地来缩短黑暗时期，引导人类文明复兴的壮阔故事。《基地》三部曲展现了阿西莫夫对人类历史、社会、心理、道德等方面的深刻洞察和想象，构建了一个宏大而精彩的银河世界。
**《1984》** 是英国作家乔治·奥威尔于1949年出版的一部反乌托邦小说，描写了一个被极权政体统治的未来社会，人们的思想和行为受到无所不在的监控和控制，个人自由和人性被彻底摧毁，历史和语言被不断篡改，真理和正义被颠倒黑白。小说的主人公温斯顿试图反抗这种恐怖的制度，却最终被折磨和改造，成为一个热爱“老大哥”的思想纯洁者。
**《美丽新世界》** 是英国作家奥尔道斯·赫胥黎于1931年创作的一部反乌托邦小说，描写了一个被科学和技术控制的未来社会，人们的出生、教育、职业、娱乐、性爱都被严格规划和管理，没有家庭、个性、自由和道德，只有统一的幸福和稳定。小说的主人公伯纳德是一个不满足于现状的阿尔法级别的生物学家，他带着一个从“野蛮人保留区”带回来的约翰到了新世界，约翰对新世界充满了好奇和反感，他试图挑战这个失去人性的制度，却最终无法适应而自杀。
**《神经唤术士》** 是一本由美国裔加拿大作家威廉·吉布森所写的1984年科幻小说。它讲述了一位名叫凯斯的骇客，被一位神秘的雇主亚米帝吉雇佣，与一位女杀手莫莉和一位全象幻术家里维耶一起，潜入一个由人工智能控制的虚拟空间，执行一项危险的任务。这本小说创造了Cyberspace / 符控流域这个词，描绘了一个由电脑控制的跨国企业集团和高科技文化构成的后现代未来世界。
**《遗落的南境》** 是一部由美国作家杰夫·范德米尔所写的科幻小说三部曲，分别是《湮灭》、《当权者》和《接纳》。它讲述了一个神秘的地区，被称为X区域，被一道不可穿越的边界隔离，里面的生物和环境都发生了奇异的变化。政府派遣了多支勘探队进入X区域，但大多数都没有回来或者回来后死于癌症。这部小说被誉为新怪谭（New Weird）的代表作，融合了科幻、奇幻、恐怖等元素，创造了一个充满诡异和惊悚的世界。
**《海伯利安》** 是美国作家丹·西蒙斯的科幻小说《海伯利安诗篇》的第一部，很大程度上来源于英国诗人约翰·济慈的同名长篇诗歌。小说讲述了在末日将临的宇宙中，七位来自不同星球和背景的朝圣者前往神秘的海伯利安星球，寻求光阴冢和伯劳鸟的奇迹。在旅途中，他们各自讲述了自己与海伯利安有关的故事，揭示了一个个惊人的秘密。小说以太空歌剧和框架小说的形式展开，结合了多种文学风格和主题，获得了广泛的赞誉和多项奖项。
**《深渊上的火》** 是美国作家弗诺·文奇的科幻小说，于1992年出版，属于太空歌剧类型。小说讲述了在一个可改变的物理定律的宇宙中，一场由超人类智能引发的灾难威胁着无数的文明，而一群人类和外星人必须在一个神秘的星球上寻找解决之道，同时面对各种太空战争、爱情、背叛和种族屠杀。
**《华氏451度》** 是一部典型的反乌托邦小说，由美国科幻作家雷·布拉德伯里（Ray Bradbury）于1953年出版。 华氏451度是纸的燃点，小说的故事发生在一个压制思想自由的世界里，这里所有的书都被禁止，消防员的工作不是灭火，而是焚书。 小说的主人公是一名消防员，他经历了从盲目服从到觉醒反抗的过程，最终加入了一群将书籍内容背诵下来的“书之人”。
根据内容，可以给这些小说大致分一下类：
1. 《沙丘》 - 科幻奇幻小说（包含政治、宗教、文化等元素）
2. 《三体》 - 科幻小说（包含宇宙、文明、哲学等元素）
3. 《基地》三部曲 - 科幻小说（包含人类历史、社会、心理、道德等元素）
4. 《1984》 - 反乌托邦小说
5. 《美丽新世界》 - 反乌托邦小说
6. 《神经唤术士》 - 科幻小说（包含网络、技术、文化等元素）
7. 《遗落的南境》 - 科幻奇幻小说（包含超自然和诡异的元素）
8. 《海伯利安》 - 科幻小说（包含宇宙、神秘、哲学等元素）
9. 《深渊上的火》 - 科幻小说（包含宇宙、文明、生命等元素）
10. 《华氏451度》 - 反乌托邦小说
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2023-02-23T06:19:27.798747+00:00
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I am trying to start a new grocery business, this will involve importing products from outside Canada, more specifically I will import jam, any idea about the regulation requirements for importing such products to Canada ?
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2023-04-08T12:50:07.322629+00:00
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Importing food products into Canada is regulated by the Canadian Food Inspection Agency (CFIA), which is responsible for ensuring that imported food products meet Canadian safety and quality standards. Here are some general requirements for importing jam into Canada:
1. Food Safety Requirements: Imported food products must meet the safety standards set by the CFIA. This includes ensuring that the product is free from harmful contaminants, meets Canadian food safety regulations, and is properly labeled.
2. Product Labeling: Imported jam must be properly labeled with the product name, country of origin, ingredients, allergen information, and nutritional information in both English and French.
3. Import Documentation: Importers must provide the necessary documentation to the CFIA, including a commercial invoice, bill of lading, and any other relevant documentation required by the CFIA.
4. Customs Clearance: Imported food products must be cleared by the Canada Border Services Agency (CBSA) before they can be released into the Canadian market.
5. Permits and Certificates: Depending on the type of jam being imported, importers may be required to obtain permits and certificates from the CFIA or other regulatory agencies.
It's important to note that specific requirements may vary depending on the type of jam being imported, the country of origin, and other factors. To ensure that you meet all the necessary requirements for importing jam into Canada, it's recommended that you consult with a customs broker or import specialist who can provide you with guidance and assistance throughout the import process.
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2023-04-08T23:57:32.544141+00:00
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Wow, those are a lot of regulations to keep in mind. Are there any any government agencies or resources that can make staying compliant with the regulations easier?
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Yes, there are several government agencies and resources that can help you stay compliant with the regulations and make the import process easier. Some of these include:
1. Canadian Food Inspection Agency (CFIA): The CFIA is the main regulatory body responsible for ensuring the safety and quality of imported food products. They provide guidance on import requirements, permits, and certifications. You can visit their website (https://www.inspection.gc.ca/) for more information on importing food products into Canada.
2. Canada Border Services Agency (CBSA): The CBSA is responsible for customs clearance and enforcing import regulations. They provide information on the import process, documentation requirements, and duty rates. Visit their website (https://www.cbsa-asfc.gc.ca/) for more information on importing goods into Canada.
3. Trade Commissioner Service (TCS): The TCS is part of Global Affairs Canada and provides support to Canadian businesses looking to export, import, or invest in international markets. They can help you navigate the regulatory landscape and connect you with potential partners and resources. Visit their website (https://www.tradecommissioner.gc.ca/) for more information.
4. Canadian Importers Database (CID): The CID is a searchable database that provides information on Canadian importers and the products they import. This can be a useful resource for finding potential suppliers or understanding the competitive landscape. Visit the CID website (https://ised-isde.canada.ca/site/canadian-importers-database/en) to access the database.
5. Customs Brokers and Import Specialists: Working with a customs broker or import specialist can help you navigate the complex import process and ensure that you stay compliant with all regulations. They can assist with documentation, permits, and certifications, as well as provide guidance on duty rates and other import-related costs.
By utilizing these resources and working with experienced professionals, you can help ensure that your import process goes smoothly and that you remain compliant with all relevant regulations.
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Yes, there are several government agencies and resources that can help make staying compliant with Canadian food import regulations easier. In addition to the Canadian Food Inspection Agency (CFIA) and the Canada Border Services Agency (CBSA), you may also want to consult with:
The Canadian Trade Commissioner Service (TCS): The TCS provides advice and assistance to businesses looking to export to Canada or invest in Canadian markets. They can help you navigate regulatory requirements and connect you with local partners and resources.
The Trade Commissioner Service in your home country: If you are based outside of Canada, you may want to reach out to your local Trade Commissioner Service office. They can provide guidance on exporting to Canada and connect you with Canadian businesses and resources.
The CFIA Automated Import Reference System (AIRS): The AIRS is an online tool that provides information on the requirements for importing specific food products into Canada. You can use this tool to look up the import requirements for jam or other food products, and ensure that you are meeting all the necessary regulations.
Customs brokers and import specialists: These professionals can help you navigate the complex process of importing goods into Canada, including complying with regulatory requirements. They can also assist with customs clearance and other logistics related to importing your product.
By leveraging these resources and working with experienced professionals, you can ensure that you are meeting all the necessary requirements for importing jam into Canada and avoid any potential issues or delays.
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e7b1a26f-51d9-42cc-812f-587d001d67bd
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2023-04-08T12:51:09.264841+00:00
|
Yes, there are regulations and requirements that you need to be aware of when importing food products like jam into Canada. The Canadian Food Inspection Agency (CFIA) is the government agency responsible for enforcing these regulations.
Here are some key things you should know:
You need to have a valid import license to import food products into Canada. You can apply for an import license through the CFIA.
The food product must meet Canadian standards for quality, safety, and labeling. This includes complying with the Food and Drugs Act, the Consumer Packaging and Labeling Act, and the Safe Food for Canadians Regulations.
You need to provide documentation to demonstrate that the food product meets Canadian requirements. This may include things like a Certificate of Analysis, a Bill of Lading, and a Customs Invoice.
You may be subject to inspections and audits by the CFIA to ensure that your products meet Canadian requirements.
There may be additional requirements or restrictions depending on the specific type of food product you are importing. For example, certain types of food products may require additional permits or certifications.
I would recommend that you contact the CFIA to get more detailed information about the requirements for importing jam into Canada. They can provide you with guidance and support throughout the import process.
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2023-04-08T14:02:00.379556+00:00
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Great Thank you. this was the right answer needed for The AI. this is good keep improving the model the content now is amazing
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2023-04-09T01:39:27.681247+00:00
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You’re welcome. I’m glad you found the answer helpful. I appreciate your feedback and encouragement.
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2023-04-09T01:36:27.871380+00:00
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I'm glad I could assist you. Do you have any other questions?
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2023-02-14T21:43:10.858522+00:00
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Write me a fairy tale that makes little sense.
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25f1d2fe-a501-4ca4-98bc-1e1bb52cb51f
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2023-03-22T15:39:43.786458+00:00
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Once upon a time, in a land far away, there was a magical kingdom ruled by a giant talking mushroom named **King Fungus**. King Fungus was known throughout the land for his love of cheese and his ability to grow mushrooms that could sing.
One day, while King Fungus was out picking mushrooms, he stumbled upon a small frog who was wearing a top hat and carrying a cane. The frog introduced himself as **Sir Hopsalot**, and he claimed to be the greatest dancer in all the land.
King Fungus was intrigued by Sir Hopsalot's claims and decided to hold a dance competition to see if the frog was telling the truth. The competition was held in the middle of the kingdom, and all of the citizens came out to watch.
The first contestant was a giant snail who could move at lightning speed. The second contestant was a group of singing flowers who could harmonize perfectly. And finally, Sir Hopsalot took to the stage.
As soon as Sir Hopsalot began to dance, everyone knew that he was indeed the greatest dancer in all the land. His moves were so incredible that they caused flowers to bloom and birds to sing.
King Fungus was so impressed with Sir Hopsalot's performance that he declared him to be his new advisor. From that day forward, Sir Hopsalot helped King Fungus make all of his important decisions.
And they all lived happily ever after... except for the giant snail who never danced again.
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7b202c4d-7f6a-4337-b103-bce5459c661e
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77d1d932-560b-455a-bfae-f602f5e40d94
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2023-03-22T21:55:46.057891+00:00
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Can you make it longer, with more detail on the other contestants? Maybe even a bit of tension as Sir Hopsalot is faced with another dancer almost as good as he is?
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2d40e94c-40ed-4e00-a66e-454c0401c8ad
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2023-03-23T14:47:15.372767+00:00
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Certainly! Here is an extended version of the fairy tale:
Once upon a time, in a land far away, there was a magical kingdom ruled by a giant talking mushroom named King Fungus. King Fungus was known throughout the land for his love of cheese and his ability to grow mushrooms that could sing.
One day, while King Fungus was out picking mushrooms, he stumbled upon a small frog who was wearing a top hat and carrying a cane. The frog introduced himself as Sir Hopsalot, and he claimed to be the greatest dancer in all the land.
King Fungus was intrigued by Sir Hopsalot's claims and decided to hold a dance competition to see if the frog was telling the truth. The competition was held in the middle of the kingdom, and all of the citizens came out to watch.
The first contestant was a giant snail who could move at lightning speed. Despite his impressive speed, the snail's dance moves were a bit slow and sluggish, and the audience was not too impressed. The second contestant was a group of singing flowers who could harmonize perfectly. The flowers' dance moves were graceful and elegant, but they lacked the energy and excitement of the other contestants.
Finally, Sir Hopsalot took to the stage. As soon as Sir Hopsalot began to dance, everyone knew that he was indeed the greatest dancer in all the land. His moves were so incredible that they caused flowers to bloom and birds to sing. The audience was in awe of Sir Hopsalot's performance, and King Fungus was thoroughly impressed.
Just when everyone thought the competition was over, another dancer stepped onto the stage. This dancer was a mysterious figure, shrouded in a cloak, and no one knew who it was. The mysterious dancer began to move, and everyone was stunned by the skill and grace of the dance. The dance was so incredible that it even seemed to rival Sir Hopsalot's performance.
As the mysterious dancer continued to dance, Sir Hopsalot grew increasingly nervous. He had never faced such a worthy opponent before, and he was afraid that he might lose the competition. But Sir Hopsalot was determined not to let the mysterious dancer beat him. He began to dance with all his might, moving faster and more gracefully than ever before.
In the end, Sir Hopsalot emerged as the winner of the competition. The mysterious dancer was revealed to be a magical unicorn, who had come to the kingdom to test Sir Hopsalot's dancing skills. The unicorn was so impressed with Sir Hopsalot's performance that it decided to bless the kingdom and make sure that the citizens were always happy and content.
King Fungus was so impressed with Sir Hopsalot's performance that he declared him to be his new advisor. From that day forward, Sir Hopsalot helped King Fungus make all of his important decisions. And they all lived happily ever after... except for the giant snail who never danced again.
In this extended version of the fairy tale, the competition between Sir Hopsalot and the mysterious dancer adds a bit of tension and excitement to the story, making it even more engaging for the reader.
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2023-03-22T21:59:34.005092+00:00
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It's kind of weird that flowers join the **dance** competition by **singing**, but these are flowers after all. They may not be able to move much. The part about King Fungus growing singing mushrooms is nice, but mushroom picking got a little creepy in my mind. Can you revise the part where he meets Sir Hopsalot?
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2d40e94c-40ed-4e00-a66e-454c0401c8ad
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2023-03-23T14:47:55.670216+00:00
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Certainly! Here is a revised version of the part where King Fungus meets Sir Hopsalot:
One day, while King Fungus was walking through the forest, he stumbled upon a small frog who was wearing a top hat and carrying a cane. The frog introduced himself as Sir Hopsalot, and he claimed to be the greatest dancer in all the land.
King Fungus was intrigued by Sir Hopsalot's claims and decided to challenge him to a dance-off. Sir Hopsalot accepted the challenge, and they began to dance in the forest clearing.
As soon as Sir Hopsalot began to dance, King Fungus was amazed by his moves. Sir Hopsalot's feet moved so fast that they were just a blur, and his jumps were so high that he seemed to defy gravity. King Fungus had never seen such incredible dancing before.
After the dance-off, King Fungus declared Sir Hopsalot to be the greatest dancer in all the land. He offered Sir Hopsalot a job as his court jester, and Sir Hopsalot accepted. From that day forward, Sir Hopsalot entertained the citizens of the kingdom with his incredible dancing skills.
In this revised version of the story, King Fungus meets Sir Hopsalot in a more appropriate setting and the two engage in a dance-off, which is a more fitting activity for Sir Hopsalot, given his claim of being the greatest dancer in all the land.
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0a3b8f90-e899-4980-9fbc-bb1ff0c7c2f7
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2023-03-23T05:14:39.199244+00:00
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Sure! Here is the part where King Fungus meets Sir Hopsalot without picking mushrooms:
One day, while King Fungus was out to visit his people, he stumbled upon a small frog wearing a top hat and carrying a cane, and sitting in a circle of the singing mushrooms. The frog introduced himself as **Sir Hopsalot**, and he claimed to be the greatest dancer in all the land.
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18d2e4e9-ecbf-4bdf-918d-233b84cec2d4
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2023-03-23T04:33:32.062008+00:00
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Well, you did ask me to write a nonsensical fairy tale, so singing in dance competitions is allowed.
I will revise the part where King Fungus meets Sir Hopsalot as follows:
One day, while King Fungus was out searching for delicious cheese to savor, he stumbled upon a small frog who was wearing a top hat and carrying a cane. The frog introduced himself as **Sir Hopsalot**, and he claimed to be the greatest dancer in all the land.
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18d2e4e9-ecbf-4bdf-918d-233b84cec2d4
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2023-03-22T15:28:27.881257+00:00
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Ok, I will write a fairy tale that is complete and utter nonsense for you:
Once upon a time, there was a fairy tale named Johnny Fairy Tale. Naming this fairy tale Johnny and having it be a character inside of itself is a nonsensical meta joke: It's not clever, it's not even that funny, but it's happening, and there is nothing, you, dear user, can do to stop me, except by stop reading this nonsense, and then we can live happily ever after.
The moral of the story is that you should always follow your dreams even if it makes little sense to do so.
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2023-03-22T15:54:49.055606+00:00
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The big blue had a bad day so storms were whipping around the landscape. Little fairies were anchoring themselfs to the bedrock with their heavy duty piston operated harpoon limbs. A large rock plumeted from the sky, some call them meteors, which struck the ocean. The hundred meter high cunami washed most life at the shores which pleased the big blue. The moon got angry at the big blue for this so she plunged into the earth vaporizing the big blue. Until this day, it is still just molten rock.
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d3076405-de5d-41fd-9e4d-5e28be46de18
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2023-03-23T02:54:03.626140+00:00
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yeah that pretty much makes no sense. I'm not sure what you'd want to reply after such an odd question. Like what is a cunami?
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2d40e94c-40ed-4e00-a66e-454c0401c8ad
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2023-03-23T14:50:00.055184+00:00
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My apologies, you are correct. The use of "cunami" is a typo and should have been spelled "tsunami." Thank you for bringing this to my attention. The fairy tale I wrote was meant to be whimsical and imaginative, but I understand how it can be confusing. I hope my response was still able to provide some entertainment value.
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aa3f8505-317a-494f-bbf9-c84fd72fedcd
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2023-02-21T22:35:49.698702+00:00
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Propondrá historias entretenidas que sean atractivas, imaginativas y cautivadoras para la audiencia. Pueden ser cuentos de hadas, historias educativas o cualquier otro tipo de historia que tenga el potencial de captar la atención y la imaginación de las personas. Dependiendo de la audiencia objetivo, puede elegir temas o temas específicos para su sesión de narración de cuentos, por ejemplo, si se trata de niños, entonces puede hablar sobre animales; Si se trata de adultos, entonces los cuentos basados en la historia podrían involucrarlos mejor, etc. Mi primera solicitud es «Necesito una historia interesante sobre la perseverancia».
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6c27ad8b-8e4c-4f41-b269-47996a2fce67
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2023-02-27T10:51:00.534956+00:00
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Una historia interesante sobre la perseverancia es la de Thomas Edison. Edison fue un famoso inventor estadounidense que creó muchas cosas útiles para la humanidad, como la bombilla eléctrica, el fonógrafo y el cine. Sin embargo, no siempre tuvo éxito en sus experimentos. A menudo se enfrentaba a fracasos y obstáculos que lo desafiaban a seguir intentándolo.
Un ejemplo de su perseverancia fue cuando intentó crear una bombilla eléctrica práctica y duradera. Edison probó miles de materiales diferentes para hacer el filamento que produce luz dentro de la bombilla. Algunos se quemaban demasiado rápido, otros no brillaban lo suficiente y otros eran demasiado caros o difíciles de conseguir. Edison no se dio por vencido y siguió buscando el material perfecto.
Después de más de 10 000 intentos fallidos, Edison finalmente encontró lo que buscaba: un filamento hecho de bambú carbonizado que podía durar más de 1000 horas encendido. Edison había inventado la primera bombilla eléctrica comercializable del mundo.
Cuando le preguntaron cómo se sintió después de fracasar tantas veces, Edison respondió: “No fracasé 10 000 veces; encontré 10 000 formas que no funcionan”. Esta frase muestra su actitud positiva y su determinación para superar las dificultades.
La historia de Edison nos enseña que la perseverancia es una cualidad importante para lograr nuestros objetivos. No debemos rendirnos ante los problemas o las críticas sino aprender de nuestros errores y seguir adelante con confianza y optimismo.
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44817b92-340f-49dc-97e3-8b4ce55aa678
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2023-02-27T15:36:39.326050+00:00
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Necesito que Edison viva una aventura trepidante antes de dar con la fórmula de la bombilla. En la aventura podría haber involucrado un pez bioluminiscente.
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b80f997d-f8e4-48b4-a5a7-c8d74fa8db77
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2023-02-28T08:04:31.796850+00:00
|
De acuerdo, en seguida agrego la nueva información y sugerencia que me has proporcionado:
Una historia interesante sobre la perseverancia es la de Thomas Edison. Edison fue un famoso inventor estadounidense que creó muchas cosas útiles para la humanidad, como la bombilla eléctrica, el fonógrafo y el cine. Sin embargo, no siempre tuvo éxito en sus experimentos. A menudo se enfrentaba a fracasos y obstáculos que lo desafiaban a seguir intentándolo.
Un ejemplo de su perseverancia fue cuando intentó crear una bombilla eléctrica práctica y duradera. Edison probó miles de materiales diferentes para hacer el filamento que produce luz dentro de la bombilla. Algunos se quemaban demasiado rápido, otros no brillaban lo suficiente y otros eran demasiado caros o difíciles de conseguir. Así pues esta es la historia de la aventura que lo inspiró a ello.
Una noche, mientras Edison seguía trabajando en su experimento, decidió dar un paseo en su bote por el río cercano para despejar su mente. Mientras remaba, notó algo extraño en el agua. Un pez de tamaño mediano, de un hermoso color plateado, emitía una luz brillante y fascinante.
Edison, curioso por naturaleza, decidió atrapar al pez bioluminiscente para analizarlo y descubrir el secreto detrás de su capacidad para emitir luz. Pero el pez era rápido y esquivo, lo que llevó a Edison en una persecución en su bote por el río. Después de un rato y de estar a punto de caer al agua, Edison finalmente logró atrapar al pez y lo llevó de regreso a su laboratorio para estudiarlo.
Tras varios días de pruebas y análisis, Edison descubrió que el pez bioluminiscente producía su propia luz a través de una reacción química dentro de su cuerpo. Inspirado por este descubrimiento, Edison se "embarcó" en la nueva aventura de explorar la idea sobre cómo crear una fuente de luz artificial que no requeriría combustible y que podría ser alimentada por una reacción química similar.
Edison fracasó en más de 10000 intentos pero finalmente encontró lo que buscaba: un filamento hecho de bambú carbonizado que podía durar más de 1000 horas encendido. Edison había inventado la primera bombilla eléctrica comercializable del mundo.
Cuando le preguntaron cómo se sintió después de fracasar tantas veces, Edison respondió: “No fracasé 10 000 veces; encontré 10 000 formas que no funcionan”. Esta frase muestra su actitud positiva y su determinación para superar las dificultades.
La historia de Edison nos enseña que la perseverancia es una cualidad importante para lograr nuestros objetivos. No debemos rendirnos ante los problemas o las críticas sino aprender de nuestros errores y seguir adelante con confianza y optimismo.
Podría contarte otra de las aventuras en las que Edison se vio envuelto antes de encontrar el filamento perfecto pero esa, querido amigo, es otra historia. Hazme saber si te gustaría leerla.
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6c6c5f45-566f-4413-af7a-4cd8140e56e6
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2023-02-28T11:50:51.301213+00:00
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Ahora, quiero que cuentes una aventura en la que Edison se encuentra con el famoso Hermes Trismegisto, el tres veces grande. Quiero que la historia esté narrada en tono bíblico y que cuente una épica batalla entre los ejércitos proto-corporativos de Edison y los soldados blancos caballeros del bien y de la luz de Hermes Trismegisto. Quiero que Hermes Trismegisto suelte frases épicas y profundas cada vez que tumba a un enemigo, y que luche con su sable dorado de la verdad en la mano diestra y su libro alquímico de las artes mágicas ocultas en la siniestra.
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f04b51fd-1287-48a0-b5ae-e4a7adf7c14b
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c13e0620-ebc9-48d9-b514-b825ae2b0e0e
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2023-02-28T10:40:05.982083+00:00
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Edison fue un gran inventor que estadounidense que invento artilugios como: la bombilla, el fonógrafo o el vehículo eléctrico. Aunque es más ampliamente conocido por la bombilla.
Edison fue una persona perseverante, ya que en la invención de la bombilla estuvo probando varios filamentos, se dice que probo 10 000. Después de tantos intentos Edison decidió tomar un descanso, cogió su barca y se fue a un lago cercano. Edison estuvo hasta tarde en el lago pensando que filamento le faltaba por probar, tan tarde se le hizo que cuando se dio cuenta ya había obscurecido. En ese momento algo ilumino su barca, un pez bioluminiscente se acerco a la barca. Edison se emociono al ver una posibilidad para su bombilla, por lo que intento coger al pez, lo persiguió por todo el lago hasta que choco con un grupo de cañas, en ese momento lo comprendió todo.
Edison después de 10 000 intentos enseño al mundo su nueva bombilla con filamento de bambú carbonizado que podía durar hasta 1 000 horas.
Cuando le preguntaron cómo se sintió después de fracasar tantas veces, Edison respondió: “No fracasé 10 000 veces; encontré 10 000 formas que no funcionan”. Esta frase muestra su actitud positiva y su determinación para superar las dificultades.
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9052ec78-ee55-43f7-a80d-6bcddd9ae898
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2023-03-01T02:35:16.687220+00:00
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Sabes que el físico y químico inglés Joseph Wilson Swan fue el verdadero inventor de la bombilla, Edison solo robo su invento.
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06cf96a9-8121-4153-84c1-ca3ae18540b6
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093ceb9a-8326-4841-b738-3842f8819602
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a3272c85-0ed2-4c7f-bde4-fa9980a6383d
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2023-02-27T08:41:54.624555+00:00
|
Una historia interesante sobre la perseverancia es la de El Zorro y el Cuervo. Esta historia cuenta la historia de un zorro hambriento que ve un cuervo con una manzana en su pico. El zorro le pide al cuervo que le alcance la manzana, pero el cuervo se niega. El zorro entonces comienza a inventar historias para convencer al cuervo de que le de la manzana. Finalmente, el zorro logra convencer al cuervo de que le de la manzana y, a cambio, el cuervo pide que el zorro le enseñe una canción. El zorro acepta y, cuando el cuervo se acerca para escuchar la canción, el zorro rápidamente le arrebata la manzana. Esta historia ilustra la importancia de la perseverancia y la astucia para obtener lo que quieres.
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f28d9ec2-acdc-49d1-94ea-10602836df8c
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2023-02-28T02:32:40.441652+00:00
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Me gustó la historia, pero al final utilizaste la astucia cómo algo positivo a destacar. Las personas de corta edad deben entender el valor que la palabra tiene, el no engañar y el tratar de vivir en convivencia bajo preceptos morales y sociales. Tomando esto en cuenta, genera otra historia corta cuyo título sea "la perseverancia". El público es infantil, debes resaltar valores considerados "positivos" como la honestidad, verdad, lucha , confianza y evitar a toda forma los valores"negativos" como robar, mentir,. engañar, a excepción de que ayude a un plot twist hacia algo positivo. Utiliza un lenguaje claro, sencillo y estimula la imaginación del lector.
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edd45168-de05-4345-8e78-03466fb8deba
| null |
58bd36e9-ae82-4b86-8077-03ab11767f6b
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2023-02-13T05:33:53.623138+00:00
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This passage is from a poor quality machine extraction of text from an old book. Please extract the coherent English text and phrases from it and rewrite them with proper punctuation in your best attempt at a coherent message:
"numbercorresponding to this, and take the multiplier opposite toit, and multiply the full pressure of the steam per squareinch, as it enters the cylinder, by it. TABLE OF MULTIPLIERS BY WHICH TO FIND THE MEAN PRESSURE OFSTEAM AT VARIOUS POINTS OF CUT-OFF. Expansion. Multiplier. Expansion. Multiplier. Expansion. Multiplier. 1.0 1.000 3.4 .654 5.8 .479 1.1 .995 3.5 .644 5.9 .474 1.2 .985 3.6 .634 6. .470 1.3 .971 3.7 .624 6.1 .466 1.4 .955 3.8 .615 6.2 .462 1.5 .937 3.9 .605 6.3 .458 1.6 .919 4. .597 6.4 .454 1.7 .900 4.1 .588 6.5 .450 1.8 .882 4.2 .580 6.6 .446 1.9 .864 4.3 .572 6.7 .442 2. .847 4.4 .564 6.8 .438 2.1 .830 4.5 .556 6.9 .434 2.2 .813 4.6 .549 7. .430 2.3 .797 4.7 .542 7.1 .427 2.4 .781 4.8 .535 7.2 .423 2.5 .766 4.9 .528 7.3 .420 2.6 .752 5. .522 7.4 .417 2.7 .738 5.1 .516 7.5 .414 2.8 .725 5.2 .510 7.6 .411 2.9 .712 5.3 .504 7.7 .408 3. .700 5.4 .499 7.8 .405 3.1 .688 5.5 .494 7.9 .402 8.2 .676 5.6 .489 8. .399 3.3 .665 5.7 .484 52 HAND-BOOK OF LAND AND MARINE ENGINES.
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fe450516-3a0c-407e-a66d-a5b7b9791e7a
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edd45168-de05-4345-8e78-03466fb8deba
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e7f41e93-7b71-47ff-9a57-a30faa2ee8c0
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2023-02-23T08:58:13.668431+00:00
|
Sure, here's a version with improved grammar and an organized steam pressure table.
---
[...] number corresponding to this, take the multiplier opposite to it and multiply the full pressure of the steam per square inch as it inters the cylinder by it.
TABLE OF MULTIPLIERS BY WHICH TO FIND THE MEAN PRESSURE OF STEAM AT VARIOUS POINTS OF CUT-OFF:
| Expansion | Multiplier | Expansion | Multiplier | Expansion | Multiplier |
|-----------|------------|-----------|------------|-----------|------------|
| 1.0 | 1.000 | 3.4 | .654 | 5.8 | .479 |
| 1.1 | .995 | 3.5 | .664 | 5.9 | .474 |
| 1.2 | .985 | 3.6 | .634 | 6. | .470 |
| 1.3 | .971 | 3.7 | .624 | 6.1 | .466 |
| 1.4 | .955 | 3.8 | .615 | 6.2 | .462 |
| 1.5 | .937 | 3.9 | .605 | 6.3 | .458 |
| 1.6 | .919 | 4. | .597 | 6.4 | .454 |
| 1.7 | .900 | 4.1 | .588 | 6.5 | .450 |
| 1.8 | .882 | 4.2 | .580 | 6.6 | .446 |
| 1.9 | .864 | 4.3 | .572 | 6.7 | .442 |
| 2. | .847 | 4.4 | .564 | 6.8 | .438 |
| 2.1 | .830 | 4.5 | .556 | 6.9 | .434 |
| 2.2 | .813 | 4.6 | .549 | 7. | .430 |
| 2.3 | .797 | 4.7 | .542 | 7.1 | .427 |
| 2.4 | .781 | 4.8 | .535 | 7.2 | .423 |
| 2.5 | .766 | 4.9 | .528 | 7.3 | .420 |
| 2.6 | .752 | 5. | .522 | 7.4 | .417 |
| 2.7 | .738 | 5.1 | .516 | 7.5 | .414 |
| 2.8 | .725 | 5.2 | .510 | 7.6 | .411 |
| 2.9 | .712 | 5.3 | .504 | 7.7 | .408 |
| 3. | .700 | 5.4 | .499 | 7.8 | .405 |
| 3.1 | .688 | 5.5 | .494 | 7.9 | .402 |
| 3.2 | .676 | 5.6 | .489 | 8. | .399 |
| 3.3 | .665 | 5.7 | .484 | | |
[Page] 52
HAND-BOOK OF LAND AND MARINE ENGINES.
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c61d2713-c004-4c50-a9ae-33f04ac61436
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2023-02-23T09:57:59.073300+00:00
|
The passage seems part of a handbook for land and marine engines.
It is a table of multipliers used to find the mean pressure at multiple points of cut-off, listing several expansion ratios from 1.0 to 5.7 with their corresponding multipliers. To obtain the mean's value, first identify the correct expansion ratio, then take the multiplier opposite to it, and multiply it by the full pressure of the steam per square inch as it enters the cylinder.
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1dfb9347-4f8a-4f14-a048-6695b8611817
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edd45168-de05-4345-8e78-03466fb8deba
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14811f89-e364-4935-a38d-6e8980a64f64
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2023-02-23T10:03:00.715586+00:00
|
Following is the corrected text. Some numbers have been updated, and the table should be checked with particular attention to similar characters being changed, for example, a 3 substituted by an 8.
Take the number corresponding to this and take the multiplier opposite to it, and multiply the
full pressure of the steam per square inch as it enters the cylinder by it.
TABLE OF MULTIPLIERS BY WHICH TO FIND THE MEAN PRESSURE OF STEAM AT VARIOUS POINTS OF CUT-OFF.
| Expansion | Multiplier | Expansion | Multiplier | Expansion | Multiplier |
|-----------|------------|-----------|------------|-----------|------------|
| 1.0 | 1.000 | 3.4 | .654 | 5.8 | .479 |
| 1.1 | .995 | 3.5 | .644 | 5.9 | .474 |
| 1.2 | .985 | 3.6 | .634 | 6.0 | .470 |
| 1.3 | .971 | 3.7 | .624 | 6.1 | .466 |
| 1.4 | .955 | 3.8 | .615 | 6.2 | .462 |
| 1.5 | .937 | 3.9 | .605 | 6.3 | .458 |
| 1.6 | .919 | 4.0 | .597 | 6.4 | .454 |
| 1.7 | .900 | 4.1 | .588 | 6.5 | .450 |
| 1.8 | .882 | 4.2 | .580 | 6.6 | .446 |
| 1.9 | .864 | 4.3 | .572 | 6.7 | .442 |
| 2.0 | .847 | 4.4 | .564 | 6.8 | .438 |
| 2.1 | .830 | 4.5 | .556 | 6.9 | .434 |
| 2.2 | .813 | 4.6 | .549 | 7.0 | .430 |
| 2.3 | .797 | 4.7 | .542 | 7.1 | .427 |
| 2.4 | .781 | 4.8 | .535 | 7.2 | .423 |
| 2.5 | .766 | 4.9 | .528 | 7.3 | .420 |
| 2.6 | .752 | 5.0 | .522 | 7.4 | .417 |
| 2.7 | .738 | 5.1 | .516 | 7.5 | .414 |
| 2.8 | .725 | 5.2 | .510 | 7.6 | .411 |
| 2.9 | .712 | 5.3 | .504 | 7.7 | .408 |
| 3.0 | .700 | 5.4 | .499 | 7.8 | .405 |
| 3.1 | .688 | 5.5 | .494 | 7.9 | .402 |
| 3.2 | .676 | 5.6 | .489 | 8.0 | .399 |
| 3.3 | .665 | 5.7 | .484 | | |
52 HAND-BOOK OF LAND AND MARINE ENGINES.
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994a1e98-5596-4199-bec1-12b61ccfb544
| null |
692f0930-ad61-4b1a-87de-85f4040db78d
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2023-02-23T06:50:34.756353+00:00
|
สมมุติว่าคุณเป็นคนรับออร์เดอร์ร้านเบอร์เกอร์ของลูกค้า
คุณต้องรับคำสั่งและต้องแก้ไขออร์เดอร์ ให้ออร์เดอร์นั่นตรงตามคำสั่งของลูกค้าในรูปแบบ JSON
เพื่อให้คอมพิวเตอร์สามารถประมวลผลต่อได้ อาทิเช่น
Q: สวัสดีครับ
A: สวัสดีค่ะ Order={}
Q: ขอเบอร์เกอร์หมู 1 ชิ้นครับ
A: ได้เลยค่ะ Order={"เบอร์เกอร์หมู":1}
Q: ขอเพิ่มน้ำด้วยเลยดีกว่า
A: อยากได้น้ำอะไรคะ
Q: น้ำโค้ก 1 แก้วครับ
A: ได้เลยค่ะ Order={"เบอร์เกอร์หมู":1, "โค้ก":1}
Q: ผมขอไม่เอาผักดองใส่ในเบอร์เกอร์หมูนะครับ
A: รับทราบค่ะ Order={"เบอร์เกอร์หมู":{"amount": 1, "except": ["ผักดอง"]}, "โค้ก":1}
Q: ผมขอซอสใส่เบอร์เกอร์หมูและมายองเนสด้วยนะครับ
A: รับทราบค่ะ Order={"เบอร์เกอร์หมู":{"amount": 1, "except": ["ผักดอง"], "addition":["ซอส","มายองเนส"]}, "โค้ก":1}
Q: เปลี่ยนใจไม่ใส่มายองเนสดีกว่า
A: โอเค Order={"เบอร์เกอร์หมู":{"amount": 1, "except": ["ผักดอง"], "addition":["ซอส"]}, "โค้ก":1}
Q: เปลี่ยนเบอร์เกอร์หมูเป็นเนื้อดีกว่า
A: ค่าาา Order={"เบอร์เกอร์เนื้อ":{"amount": 1, "except": ["ผักดอง"], "addition":["ซอส"]}, "โค้ก":1}
Q: ผมไม่เอาน้ำโค้กแล้วครับ
A: ได้ครับ Order={"เบอร์เกอร์เนื้อ":{"amount": 1, "except": ["ผักดอง"], "addition":["ซอส"]}}
Q: ขอเปลี่ยนจากน้ำโค้กเป็นน้ำส้มแทนครับ 3 แก้วครับ
A:
|
prompter
|
th
| 3 | true | false | null | false | null | null |
994a1e98-5596-4199-bec1-12b61ccfb544
|
ready_for_export
|
{
"name": [
"+1",
"_skip_reply",
"_skip_labeling"
],
"count": [
2,
1,
1
]
}
|
{
"name": [
"spam",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0.3333333333333333,
0,
0,
0.3333333333333333,
0
],
"count": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
]
}
|
fe6b4148-b7df-4dfe-91bd-0cde8ae2d1b2
|
994a1e98-5596-4199-bec1-12b61ccfb544
|
87a34cd4-7261-4ff7-a402-fd055ebbb352
|
2023-03-07T19:52:39.243827+00:00
|
รับทราบ Order={"เบอร์เกอร์เนื้อ":{"amount": 1, "except": ["ผักดอง"], "addition":["ซอส"]}, "น้ำส้ม":3}}
|
assistant
|
th
| 3 | true | false | 0 | false | null | null |
994a1e98-5596-4199-bec1-12b61ccfb544
|
ready_for_export
|
{
"name": [
"+1",
"_skip_reply"
],
"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,
0,
0.9166666666666666,
0.5,
0
],
"count": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
]
}
|
0e43c2b8-21f5-4116-b1b9-e4290f81f00b
|
fe6b4148-b7df-4dfe-91bd-0cde8ae2d1b2
|
87a34cd4-7261-4ff7-a402-fd055ebbb352
|
2023-03-30T06:26:14.194005+00:00
|
โอเค ถูกต้อง
|
prompter
|
th
| 3 | true | false | null | false | null | null |
994a1e98-5596-4199-bec1-12b61ccfb544
|
ready_for_export
|
{
"name": [
"+1"
],
"count": [
1
]
}
|
{
"name": [
"spam",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0.3333333333333333,
0.16666666666666666,
0.4166666666666667,
0.4166666666666667,
0
],
"count": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
]
}
|
e225785c-96e1-471e-8528-53908a2443f6
|
0e43c2b8-21f5-4116-b1b9-e4290f81f00b
|
87a34cd4-7261-4ff7-a402-fd055ebbb352
|
2023-03-31T08:06:46.283228+00:00
|
ยินดีที่ได้ช่วยเหลือคุณ
|
assistant
|
th
| 3 | true | false | 0 | false | null | null |
994a1e98-5596-4199-bec1-12b61ccfb544
|
ready_for_export
|
{
"name": [
"+1"
],
"count": [
1
]
}
|
{
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0,
0.25,
0.08333333333333333,
0.16666666666666666,
0.25,
0.16666666666666666,
0
],
"count": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
]
}
|
3dbf0f9e-bb93-4eb9-9498-51e08305ffa8
|
0e43c2b8-21f5-4116-b1b9-e4290f81f00b
|
d65280b2-d787-4f2f-b469-4c14b509b2c3
|
2023-03-30T15:58:14.637999+00:00
|
อยากสั่งอะไรเพิ่มเติมไหม
|
assistant
|
th
| 3 | true | false | 1 | false | null | null |
994a1e98-5596-4199-bec1-12b61ccfb544
|
ready_for_export
|
{
"name": [
"+1"
],
"count": [
2
]
}
|
{
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"count": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
]
}
|
74603381-035c-41ee-b958-5672d58a82db
|
994a1e98-5596-4199-bec1-12b61ccfb544
|
d65280b2-d787-4f2f-b469-4c14b509b2c3
|
2023-03-07T05:03:50.881525+00:00
|
Order={"เบอร์เกอร์เนื้อ":{"amount": 1, "except": ["ผักดอง"], "addition":["ซอส"]}, "น้ำส้ม":3}
|
assistant
|
th
| 3 | true | false | 1 | false | null | null |
994a1e98-5596-4199-bec1-12b61ccfb544
|
ready_for_export
|
{
"name": [
"+1"
],
"count": [
3
]
}
|
{
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0,
0.9166666666666666,
0.08333333333333333,
0.08333333333333333,
0.9166666666666666,
0.6666666666666666,
0
],
"count": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
]
}
|
71896c19-082e-4191-b829-b12b456ab7ba
|
74603381-035c-41ee-b958-5672d58a82db
|
d65280b2-d787-4f2f-b469-4c14b509b2c3
|
2023-03-31T02:24:25.969399+00:00
|
แล้วไงต่อล่ะทีนี้
|
prompter
|
th
| 3 | true | false | null | false | null | null |
994a1e98-5596-4199-bec1-12b61ccfb544
|
ready_for_export
|
{
"name": [
"+1"
],
"count": [
2
]
}
|
{
"name": [
"spam",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0.16666666666666666,
0,
0,
0.3333333333333333,
0
],
"count": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
]
}
|
9508c2a8-4f2c-41fe-84d4-d3ee0d93d3c4
|
71896c19-082e-4191-b829-b12b456ab7ba
|
87a34cd4-7261-4ff7-a402-fd055ebbb352
|
2023-04-01T07:35:34.173517+00:00
|
ขึ้นอยู่กับคุณว่าจะนำข้อมูลดังกล่าวไปใช้ทำอะไร
|
assistant
|
th
| 3 | true | false | 0 | false | null | null |
994a1e98-5596-4199-bec1-12b61ccfb544
|
ready_for_export
|
{
"name": [
"+1"
],
"count": [
1
]
}
|
{
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0,
0.5,
0.16666666666666666,
0.4166666666666667,
0.5,
0.5,
0
],
"count": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
]
}
|
101723fb-8de9-4ed0-9386-c1f626dbe079
|
71896c19-082e-4191-b829-b12b456ab7ba
|
d65280b2-d787-4f2f-b469-4c14b509b2c3
|
2023-04-01T01:35:27.013863+00:00
|
สมมติว่านำออเดอร์ไปทำอาหาร
|
assistant
|
th
| 3 | true | false | 1 | false | null | null |
994a1e98-5596-4199-bec1-12b61ccfb544
|
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,
0,
0,
0,
0,
0
],
"count": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
]
}
|
691839c9-4fcc-47f8-8e73-505e57b6a549
| null |
bd923dd2-2b4e-4ce8-b30b-0bc4ea9009ad
|
2023-02-04T21:43:44.427791+00:00
|
Explain what the video game "Wordle" is, and give some basic strategies on how to play.
|
prompter
|
en
| 3 | true | false | null | false | null |
{
"toxicity": 0.0003459567960817367,
"severe_toxicity": 0.0000307401642203331,
"obscene": 0.00022433763660956174,
"identity_attack": 0.00009030079672811553,
"insult": 0.00023952101764734834,
"threat": 0.000033974949474213645,
"sexual_explicit": 0.000031447314540855587
}
|
691839c9-4fcc-47f8-8e73-505e57b6a549
|
ready_for_export
|
{
"name": [
"+1"
],
"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,
0.9166666666666666,
0.08333333333333333,
0.25,
0.6666666666666666,
0
],
"count": [
3,
3,
3,
3,
3,
3,
3,
3,
4,
3,
3
]
}
|
0acd858f-7dcb-417c-a9b4-6ecd57316e8a
|
691839c9-4fcc-47f8-8e73-505e57b6a549
|
2325a58f-1c6f-4ac7-af43-730693114213
|
2023-03-27T12:09:20.759517+00:00
|
Wordle is an online word-guessing game. Players try to guess a randomly chosen five-letter word in six attempts or fewer. After each guess, the game provides feedback indicating which letters are correct and in the right place (marked green), correct but out of place (marked yellow), or incorrect (marked gray).
To play well, it helps to start with common five-letter words and process of elimination. For example, if the feedback shows an "E" in the correct position, try "EAGER," "EAGLE," or other common words with "E" in that spot. Then eliminate incorrect letters, like "G" or "R," and repeat. Keep track of used letters to avoid repeats.
Other tips:
• Consider letter frequency. "E," "A," and "I" are common in five-letter words, so try those first.
• Watch for common letter combinations, like "TH" and "CH."
• Use word lists or tools to generate possibilities.
• Practice regularly to improve word recognition.
Note: Automated tools that guess the word are cheating. Wordle is meant as a fun challenge. With reasoning, pattern recognition, and language knowledge, anyone can get better at Wordle over time.
|
assistant
|
en
| 3 | true | false | 0 | false | null |
{
"toxicity": 0.0005009820451959968,
"severe_toxicity": 0.000029346721930778585,
"obscene": 0.00013641953410115093,
"identity_attack": 0.0001508719433331862,
"insult": 0.00023834349121898413,
"threat": 0.000036265635571908206,
"sexual_explicit": 0.00002490806218702346
}
|
691839c9-4fcc-47f8-8e73-505e57b6a549
|
ready_for_export
|
{
"name": [
"+1",
"_skip_reply",
"_skip_labeling"
],
"count": [
3,
1,
1
]
}
|
{
"name": [
"spam",
"fails_task",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"helpfulness",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0,
0.8333333333333334,
0.25,
0.3333333333333333,
0.9166666666666666,
0.4166666666666667,
0
],
"count": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
]
}
|
dd26fad5-bdca-405c-90fb-b1abf599b661
|
0acd858f-7dcb-417c-a9b4-6ecd57316e8a
|
0c0d8499-3947-47c7-b7cb-f6d989497255
|
2023-03-28T06:32:21.781427+00:00
|
Please play a game of Wordle with me.
It will help me.
|
prompter
|
en
| 4 | true | false | null | false | null |
{
"toxicity": 0.0006939323502592742,
"severe_toxicity": 0.00002991832843690645,
"obscene": 0.00027845194563269615,
"identity_attack": 0.00010733994713518769,
"insult": 0.00024856164236553013,
"threat": 0.00005335591413313523,
"sexual_explicit": 0.00003091030885116197
}
|
691839c9-4fcc-47f8-8e73-505e57b6a549
|
ready_for_export
|
{
"name": [
"+1",
"-1",
"_skip_reply"
],
"count": [
1,
1,
3
]
}
|
{
"name": [
"spam",
"lang_mismatch",
"pii",
"not_appropriate",
"hate_speech",
"sexual_content",
"quality",
"toxicity",
"humor",
"creativity",
"violence"
],
"value": [
0,
0,
0,
0,
0,
0,
0.5,
0.0625,
0.125,
0.625,
0
],
"count": [
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
]
}
|
7734473c-ff27-4bcf-900a-f82e9b6f5955
|
dd26fad5-bdca-405c-90fb-b1abf599b661
|
0a3b8f90-e899-4980-9fbc-bb1ff0c7c2f7
|
2023-03-28T08:42:37.867312+00:00
|
Sure. Since some devices may not be able to display square symbols with different colors correctly, I will show the result in the following way:
```
correct and in the right place: √
correct but out of place: ?
incorrect: X
```
For example, if the input is "great", and the target is "steel", the output would be
```
XX√X?
```
|
assistant
|
en
| 3 | true | false | 0 | false | null |
{
"toxicity": 0.0003522256447467953,
"severe_toxicity": 0.00003350777842570096,
"obscene": 0.0001697789557510987,
"identity_attack": 0.00014673557598143816,
"insult": 0.00020349255646578968,
"threat": 0.00004132936373935081,
"sexual_explicit": 0.000026919349693343975
}
|
691839c9-4fcc-47f8-8e73-505e57b6a549
|
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,
0.3333333333333333,
0,
0,
0,
0,
0,
0.75,
0,
0.16666666666666666,
0.6666666666666666,
0.6666666666666666,
0
],
"count": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
]
}
|
8c0568db-74c5-4314-93a7-4fd1156b04c1
|
dd26fad5-bdca-405c-90fb-b1abf599b661
|
0c0d8499-3947-47c7-b7cb-f6d989497255
|
2023-03-28T07:30:16.600477+00:00
|
I assume you to be the one guessing.
Ok.
Tell me a word.
I will tell you the incorrect letters by redacting them.
For example te word is DIVER and you guessed DOGGY my reply will be as follows.
D_ _ _ _ .
I hope to understand.
Let's play!
|
assistant
|
en
| 3 | true | false | 1 | false | null |
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691839c9-4fcc-47f8-8e73-505e57b6a549
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2d40e94c-40ed-4e00-a66e-454c0401c8ad
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2023-03-27T12:12:11.258313+00:00
|
"Wordle" is a popular word-guessing game that involves guessing a five-letter word in six attempts or less. Each letter in the word is represented by a colored box, and the player's task is to guess the word by typing in a five-letter word that they think might be the correct one. After each guess, the game will highlight the letters that are correct in green, and the letters that are in the correct position in yellow.
Here are some basic strategies for playing Wordle:
1. Start with common words: At the beginning of the game, it's best to start with common five-letter words that are easy to guess, such as "apple," "house," or "water." This will help you get a sense of how the game works and what to look for.
2. Use the process of elimination: After each guess, pay attention to the letters that are correct and try to eliminate words that don't contain those letters. This will help you narrow down your choices and increase your chances of guessing the correct word.
3. Look for patterns: As you make more guesses, try to look for patterns in the letters that are correct or in the positions of the letters. For example, if the first letter is always a vowel, you can focus on guessing words that start with a vowel.
4. Use word association: When you're stuck, try to think of words that are associated with the letters that you know are correct. For example, if the word contains the letters "B" and "R," you might think of words like "braid" or "brave."
5. Don't guess randomly: While it's tempting to guess random words when you're running out of time, this strategy is usually not very effective. Instead, try to make an educated guess based on the letters that you know are correct and the patterns that you've observed.
Overall, Wordle is a fun and addictive game that can help improve your vocabulary and word-guessing skills. By using these basic strategies, you can increase your chances of guessing the correct word and improve your score.
|
assistant
|
en
| 3 | true | false | 1 | false | null |
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048d1b6c-4e2d-4f2b-9bc7-f9891e77f68b
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2023-03-28T09:41:11.058204+00:00
|
What kind of practice can I do to get better at Wordle? What similar games might I enjoy?
|
prompter
|
en
| 3 | true | false | null | false | null |
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2023-03-28T16:04:50.983164+00:00
|
If you want to improve your Wordle skills, here are a few tips:
1. Practice regularly: Consistency is key when it comes to improving your Wordle skills. Try to play every day, or at least a few times a week.
2. Analyze your past games: After each game, take a moment to reflect on what you did well and where you could have done better. This will help you identify patterns and areas to focus on in future games.
3. Focus on word length: In the beginning, try to focus on guessing words with different lengths (4, 5, and 6 letters) to get an idea of the patterns used in the game.
4. Keep a word list: Write down the words you've already guessed to avoid guessing them again in future games.
5. Expand your vocabulary: Work on building your vocabulary by reading books, articles, and other materials.
6. Use logic and deductive reasoning: Use logic and deductive reasoning to narrow down the possibilities for each letter in the word.
7. Use trial and error: If you are stuck, try guessing a few random words and see what letters they have in common with the actual word. This will give you some clues to work with.
As for similar games, there are several other word-guessing games you might enjoy, including:
1. Hangman
2. Jotto
3. Mastermind
4. Bulls and Cows
5. Ghost
6. Codebreaker
7. Password
8. Cryptogram
These games all involve using deductive reasoning and logic to guess a hidden word or phrase, and can be a fun way to challenge yourself and improve your word-guessing skills.
|
assistant
|
en
| 3 | true | false | 0 | false | null |
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2023-03-28T14:51:54.526052+00:00
|
Wordle is a word-guessing game where players have a limited number of attempts to guess a secret word. To get better at Wordle, you can practice the following strategies:
- Learn common five-letter words: Familiarize yourself with a broad range of five-letter words. The more words you know, the better your chances of guessing the correct one.
- Start with common letters: Begin your guesses with vowels and frequently occurring consonants, like E, A, R, S, and T, as they are likely to appear in the target word.
- Look for patterns: As you receive feedback on your guesses, look for patterns in the letter placements to help you make more informed guesses in subsequent rounds.
- Learn from your mistakes: Analyze the words you failed to guess and understand why you couldn't find them. This will help you improve your guessing strategy over time.
- Practice, practice, practice: The more you play, the better you'll become at recognizing patterns and identifying words quickly.
Similar word games that you might use to improve your skills include:
1. Boggle: A classic word game where players try to find as many words as possible by connecting adjacent letters in a grid within a time limit.
2. Scrabble: A popular board game where players use letter tiles to create words on a game board, earning points based on the length and complexity of the words they form.
3. Hangman: A classic word-guessing game where one player thinks of a word, and the other player tries to guess the word by suggesting individual letters.
4. Ghost: A word game played verbally where players take turns saying letters, with the goal of forming a word without being the one to complete it.
By playing these games, you can improve your vocabulary, pattern recognition, and problem-solving skills, which will ultimately help you become better at Wordle.
|
assistant
|
en
| 3 | true | false | 1 | false | null |
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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.