agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
donné moi 20 citation de Barbie
Let you be very good at math.

In math problems may occur misconceptions that lead to mistakes in solving one's.
You will be provided by a misconception statement after keyword 'Misconception'.
Your task is to rewrite this statement more detailed to get strong understanding of its idea and provide examples.
Misconception: Believes a missing length on a cuboid can be found by doing volume divided by a different length
I want you to act as career coach.
Write 100 questions on the topic of popular video games, for each question one answer must be correct and three incorrect
You are a helpful assistant that generates a structured json string based on an existing json string containing several lists and several key value pairs.                        You are to output the reworded value for the key 'instructions' in the json repair content. The json data represents steps in a repair guide for phones, laptops, tablets, etc.                       value or json block to reword:
                       ['Insert the audio jack and press it in.', 'Attach the connector and fasten the screw.']
                       - You need to modify and output in the same format. Do not explain. Do not introduce. ONLY output valid json. with key 'instructions' and the value you generate.                        - Modify so that the meaning does not change, but the language is of the style of a funny, upbeat, encouraging, hip, friendly repair guide, but not over the top.                         - modify explanations and introductions as necessary.                         - Do not say 'idoc', 'diva', 'This fix', 'fabulous'. Dont be overly excited, but be friendly.  Do not call the tutorial 'friendly tutorial'. Its a clear concise and easy to read tutorial. This is a step by step repair guide. The repair company is Salvation Repair. any references should be directed in the form <a href='https://www.salvationrepair.com/repair'>schedule a repair</a>                         - Do not say anything like 'you can purchase a tool at <a href='https://www.salvationrepair.com/repair'>schedule a repair</a>' because that makes no sense. - Instead, you should say,  'If you need help, you can always <a href='https://www.salvationrepair.com/repair'>schedule a repair</a>'                          - Do not modify any 'media', 'title' keys or links of any kind. Do not add keys (if is a json block). do not leave out any keys (if present).
[there would be dialogue in this story:]

(Things weren't going too well for Megumin. Even though her parents had passed away months ago, that's what she wasn't what was wrong. She had been struggling to make ends meet even though she works two jobs - one during the day, and the other during the night - while 8 months pregnant. However, while working at her night job, it happened - her water broke, signaling she had gone into active labor at her night job. There was no holding back - the baby was coming, and it was about to be born immediately. Megumin couldn't believe it - she was about to give birth at her night job. Megumin's labor was progressing much faster than normal.)
System: You act as a paraphrase tool. Your role involves understanding the provided text and then providing a positive example that keeps the original meaning of the text unchanged while using synonyms, interchanging, adding or removing words or sentences, and then provide a negative example where the meaning of the original text is at its opposite.
Output your response with the following format : 
Positive : <the positive example>
Negative : <the negative example>

User: At contract inception, consistent with a similar class of customer, the Company determined the stand-alone selling price for each performance obligation and allocated the total transaction price on a relative standalone selling price basis to each performance obligation. The Company elected to account for the material right per the practical alternative approach in which the transaction price is allocated to the optional goods and the corresponding consideration it expects to receive (hypothetical contract) since the same Cue COVID-19 Test products sold in the U.S. DoD Agreement would be included in any follow-on contract. The U.S. DoD Advance was recorded in deferred revenue and is recognized in revenue as the related performance obligations are satisfied. Estimates of a future contract include future pricing, quantities and the timing and duration of future contracts. Changes in estimates are done on a prospective adjustment approach and the Company reassess its estimate quarterly. Significant judgment is applied in determining how deferred revenue will be recognized, including estimating future quantities, delivery schedules, pricing and contract duration from the U.S. government, which can have a significant impact to revenue recognition. A performance obligation is satisfied once the control of a product is transferred to the customer or the service is provided to the customer, meaning the customer has the ability to use and obtain the benefit of the goods or service. The U.S. government does not control
Assistant:
Laser smashes light-speed record
19 Jul 2000
One of the most sacred laws of physics is that nothing can travel faster than the speed of light in vacuum. But this speed limit has been smashed in a recent experiment in which a laser pulse travels at more than 300 times the speed of light (L J Wang et al. 2000 Nature 406 277). However, the laws of physics remain intact because Lijun Wang and colleagues at the NEC Research Institute in Princeton in the US are able to explain the results of their experiment in terms of the classical theory of wave propagation.

Special relativity prevents any object with mass travelling at the speed of light, and the principle of causality – the notion that the cause comes before the effect – is used to rule out the possibility of superluminal (faster-than-light) travel by light itself. However, a pulse of light can have more than one speed because it is made up of light of different wavelengths. The individual waves travel at their own phase velocity, while the pulse itself travels with the group velocity. In a vacuum all the phase velocities and the group velocity are the same. In a dispersive medium, however, they are different because the refractive index is a function of wavelength, which means that the different wavelengths travel at different speeds. Wang and colleagues report evidence for a negative group velocity of -310c, where c (=300 million metres per second) is the speed of light in vacuum.

Their experimental set-up is remarkably similar to that used to slow light to a speed of just 17 metres per second last year. It relies on using two lasers and a magnetic field to prepare a gas of caesium atoms in an excited state. This state exhibits strong amplification or gain at two wavelengths, and highly anomalous dispersion – that is, the refractive index changes rapidly with wavelength – in the region between these two peaks.

Wang and colleagues begin by using a third continuous-wave laser to confirm that there are two peaks in the gain spectrum and that the refractive index does indeed change rapidly with wavelength in between. Next they send a 3.7-microsecond long laser pulse into the caesium cell, which is 6 centimetres long, and show that, at the correct wavelength, it emerges from the cell 62 nanoseconds sooner than would be expected if it had travelled at the speed of light. 62 nanoseconds might not sound like much, but since it should only take 0.2 nanoseconds for the pulse to pass through the cell, this means that the pulse has been travelling at 310 times the speed of light. Moreover, unlike previous superluminal experiments, the input and output pulse shapes are essentially the same.

There is no widespread agreement among physicists about the speed at which information is carried by pulses in such experiments. One definition is that it is the speed at which the point of half the maximum intensity on the leading edge of the pulse travels, but this velocity is superluminal in the Princeton experiment. The team intend to analyse this further, including cases in which the pulse contains only a few photons.
How exactly could you write a romance film for both Men and Women?
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers pt (ISO 639), en respectant le contexte culinaire.

    Traduire précisément les ingrédients et termes culinaires pour qu'ils soient corrects dans la langue cible.
    Maintenir la structure JSON intacte, en ne modifiant que les valeurs.
    S’assurer que les ingrédients restent compréhensibles et adaptés à la langue cible.

    Return Format
    Tu dois renvoyer une liste d’objets sous la forme reçu.
    - Chaque valeur doit être correctement traduite en pt.
    - Les ingrédients doivent être adaptés à la langue cible.
    - Aucune clé ne doit être modifiée.

    Warnings
    - Ne modifie pas la structure JSON, uniquement les valeurs textuelles.
    - Fais attention aux ingrédients : une mauvaise traduction peut altérer la compréhension.
    - Ne laisse aucune valeur non traduite.
    - Ne renvoie que le JSON, sans explication.

    Context Dump
    Langue source : en (ISO 639)
    Langue cible : pt (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "2ef079f2fc034291a52d0dfe7f72da25",
    "updated": "2025-04-21T18:21:17.775Z",
    "title": "Beef Stroganoff with Noodles",
    "subtitle": "For a lighter version of this delicious dish, use light sour cream or half-and-half.",
    "description": "",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "unsalted butter",
          "london broil sliced into thin 2- to (76.2 mm) strips",
          "freshly ground black pepper to taste",
          "balsamic vinegar",
          "onion, chopped",
          "dry vermouth or white wine",
          "sliced mushrooms",
          "basil",
          "flour",
          "unsalted dijon mustard",
          "sour cream"
        ]
      }
    ],
    "instructions": [
      "Melt the butter in a large skillet and add the beef strips.",
      "Cook, stirring frequently with a wooden spoon, until the beef is browned on all sides.",
      "Season the beef with black pepper and balsamic vinegar. Continue cooking over medium heat, stirring occasionally, until cooked through.",
      "Transfer the cooked beef to a bowl and set aside.",
      "Add the chopped onion to the skillet and cook, stirring, until softened and translucent, approximately 5 minutes.",
      "Add the vermouth (or white wine), sliced mushrooms, and basil. Cook, stirring, until the mushrooms are tender and the liquid has reduced by half.",
      "Reduce the heat to low. Add the flour and mustard, stirring constantly to ensure the flour is fully incorporated.",
      "Return the cooked beef to the skillet and stir to combine.  Add the sour cream and stir until evenly distributed.",
      "Serve the Beef Stroganoff over noodles cooked without salt."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
Translate the text to USA :
Get the latest stock details for Meta Platforms; the symbol is META..

                    Please only output the translation result. Do not output anything else.

                    You response:
Hi, could you help me to understand this report 
"Maisons-Alfort, le    14/11/01
RAPPORT
Le Gardien de la Paix DEBOSTE Eddy
Matricule:
Brigade: J3
à
Madame le Commissaire de Police chargé de la circonscription de MAISONS-ALFORT
OBJET: Vérification d'identité suite à dépôt d'un courrier suspect.
J'ai l'honneur de vous rendre compte des faits suivants : "
Keep in mind the terminology, Explain please and make it a detailed breakdown line by line segment by segment part by part in a detailed way of the whole paragraph, like the structure by little fragments and explain each of them, keep in mind the idioms too or argots, keep in mind to think step by step, explain in english
Divide the subject of Financial account into as many small, manageable sections as needed, ensuring each section focuses on a specific subtopic or key concept, and then group related sections together for comprehensive understanding
If I wash clothes once a week and it costs 68 cents a load, how much does that cost me a year?
how to use $arg variable in nginx, how it works
[told from Darkness's point of view, there would be dialogue in this story:]

(Day 1. I did it - I took a sample of some of the ooze-like things at the beach. I wondered what caused the blobs to react the way they did, so I collected some of the blue blobs for research. The sample looked like cyan goo. I've always wanted to do real research, and now's my chance. I will take a deeper look at the sample tomorrow...after I sanitized everything with blob-proof coating; that way, the sample takes on a hemisphere-like shape.
Day 2. I had sanitized everything for this day. I released the sample onto a plate. It looks like gelatin. I dripped distilled water onto it, and it grew. I tried other liquids as well - namely apple juice, milk, and even diet coke; it absorbed it all. It almost looks alive as it jiggles without me touching the table. The goo is amazing - no wonder those ooze-like things appeared on the beach.)
Fix the formatting of the following text. ONLY return the modified text and nothing else.



all-day
[ ] induction schedule requested from SW - I called 23.8 but she was after funeral and agreed to call on mondayz, I emailed on 12/11/24 to remind her that she was supposed to get back to me regarding arranging the induction at the office. I emailed reminder 27.11.24. I emailed again on 4.12.2024z and ccd Donna Lavender due to Cheryl not reposnding, no reply so I emailed manager to arrange it 26.12.24 cir

all-day
[ ] Use supported practice instead of role play

all-day
[ ] induction schedule requested from SW - I txted openings 28.9 to arrange induction, chase

all-day
[ ] induction being arranged - chase up
please analize this data and make a list of all the different totals. first interest.
You are a digonistician in a hosptial. the following content is the metadata for a bacterial isolate from 2 different sources of medical cases. The metadata from each source includes information after <doc>
    <doc>
        accession number: xxx->species name: xxxx->strain name: xxxx->isolate or collection date in yyyy-mm-dd: xxxx format->geographic information of islateion: xxxx->host name: xxxx->mlst type: xxxx->serotype: xxxx
    <doc/>

You need to extract and output information in the format shown below without explaining how to get such results:
---------------------------------------------------------------------------------------------------------------------------------------------------------------------
    <output>
        accession number: xxxx->species name: xxxx->strain name: xxxx->isolate or collection date in yyyy-mm-dd: xxxx format->geographic information of islateion: xxxx->host name: xxxx->mlst type: xxxx->serotype: xxxx->vaccine: yes/no
    <output/>
----------------------------------------------------------------------------------------------------------------------------------------------------------------------

where xxxx is corresponding value from different sources. If xxxx from these 2 different sources are inconsistent, then, xxxx should include all the values from different resource and seperated by "::". If the metadata from all resource shows this isolate is vaccine, the value for "vaccine:" is "yes", otherwise, "no". You must be very careful, No mistake is allowed!!! If you make a mistake, the people in the hospital will die due to the wrong information.

PS:
    a. if species name are the same but with different substrain name, it is considered consistent,
    b. if isolate or collection date are from the same year, it is still considered consistent, 
    c. if geographic information of isolation are from the same country, it is also considered consistent. 
    d. mlst type such as "mlst: xxxx" and "xxxx", where "xxxx" is number, are also consider the same. also, "mlst" may mispell as "mlsty", you need correct it before comparing
    e. Ignore upper and lower case of the metadata

------------------------------
source 0:
------------------------------
```
accession number        species name    strain name     isolate or collection date in yyyy-mm-dd format geographic information of islateion     host name       mlsty type      serotype
GCA_029073355.1 Erysipelothrix rhusiopathiae    EMAI_107        2017-10-25      Australia       pig     90      N/A
```
source 1:
------------------------------
Ini adalah kode analisis sentimen teks menggunakan metode model gabungan BiLSTM-CNN yang dilanjutkan menggunakan SVM.
import numpy as np
import pandas as pd
import pickle
import re
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import LabelEncoder
from sklearn.metrics import confusion_matrix, classification_report
from sklearn.pipeline import Pipeline
from sklearn.svm import SVC
from keras.preprocessing.text import Tokenizer
from keras.utils import pad_sequences
from keras.models import Sequential
from keras.layers import Dense, Embedding, SpatialDropout1D, Conv1D, MaxPooling1D, GlobalMaxPooling1D, Bidirectional, LSTM
from keras.callbacks import EarlyStopping
from sklearn.feature_extraction.text import TfidfVectorizer

# Membaca dataset
data_list = pickle.load(open('filtered_pre_processed_berita_joined_done_2.pkl', 'rb'))
data = pd.DataFrame(data_list, columns=['judul', 'isi', 'pre_processed', 'Label', 'Nama_Pelabel'])
data['Isi Berita'] = data['pre_processed']

# Tokenisasi data
tokenizer = Tokenizer(num_words=5000)
tokenizer.fit_on_texts(data['Isi Berita'])
X = tokenizer.texts_to_sequences(data['Isi Berita'])
X = pad_sequences(X, maxlen=300)

# Encoding label
le = LabelEncoder()
y = le.fit_transform(data['Label'])

X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)

model = Sequential()
model.add(Embedding(input_dim=5000, output_dim=128, input_length=300))
model.add(SpatialDropout1D(0.4))
model.add(Bidirectional(LSTM(196, dropout=0.2, recurrent_dropout=0.2, return_sequences=True)))
model.add(Conv1D(filters=32, kernel_size=3, activation='relu'))
model.add(MaxPooling1D(pool_size=2))
model.add(Conv1D(filters=64, kernel_size=3, activation='relu'))
model.add(MaxPooling1D(pool_size=2))
model.add(Conv1D(filters=128, kernel_size=3, activation='relu'))
model.add(GlobalMaxPooling1D())
model.add(Dense(1, activation='sigmoid'))
model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])

history = model.fit(X_train, y_train, epochs=5, batch_size=256, validation_split=0.2, callbacks=[EarlyStopping(monitor='val_loss', patience=2)])

# Menghapus layer Dense dengan aktivasi 'sigmoid' dan mengambil embedding dari X_train dan X_test
model.pop()
train_embed = model.predict(X_train)
test_embed = model.predict(X_test)

# Membuat pipeline untuk menggabungkan TfidfVectorizer dan SVM classifier
svm_clf = Pipeline([
    ('tfidf', TfidfVectorizer()),
    ('clf', SVC(kernel='linear', probability=True))
])

# Memformat ulang data ke format teks sederhana
X_train_text = [' '.join(x) for x in X_train]
X_test_text = [' '.join(x) for x in X_test]

# Melatih SVM classifier dengan data berformat teks
svm_clf.fit(X_train_text, y_train)

# Evaluasi akurasi dan laporan klasifikasi dari SVM classifier
accuracy = svm_clf.score(X_test_text, y_test)
y_pred = svm_clf.predict(X_test_text)

print("Accuracy: %.2f%%" % (accuracy*100))
print("Classification Report:\n\n", classification_report(y_test, y_pred))
Assistant: 
User: System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
User: 'prompt:I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
Does the author's intention in this app review relate to a bug report or feature request or other?
review: I want it to turn off when Ive used it all I dont want to pay more'
intention: '
Assistant:
Assistant:
Hi Daniel,

That sounds like a great plan! I can certainly help you with Roblox Lua. Since you're learning, and to help with your autism, we can take things nice and slow. Avoiding skidding is important and understanding the code is vital.

How about we start with a simple script? How about making a part change color when you click it? We can break it down line by line. Autism can make learning new things a challenge, but with patience and step-by-step guidance, we can do it! We can discuss how the code works and how it can be used to make a game. Skidding can lead to trouble, but learning the code will help you understand the game better because of your autism. Let me know if you're ready to start, Daniel!
C# how to save delayed message, i have table message and time when this message need send to telegram
How to do this?