agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
переведи на разговорный английский, поправь и упрости "на сайте луа естт буквально все что переведи на разговорный английский тебе надо, поверь, будет проще один раз прочитать документацию, чем ошибаться и пытаться разобраться самому"
i am an online ESL teacher. A student asked me for a extra lesson. here is the article he needs to follow:

""Preply Help Center
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How to add extra lessons to your subscription
Ran out of lessons before your next payment? Check out this article!

Updated over a week ago
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""
System: 
User: Suppose you are a company from Germany and operating in the Technology Hardware & Equipment. You are disclosing in section 7 Management's Discussion and Analysis about credit risk.
    The disclosure should be in length between 100 and 200 words.
    The tone should be formal and neutral.

    Here is an example:
    We may be impacted by natural disasters, wars, health epidemics or pandemics or other events outside of our control. For example, Mountain Pass is located in San Bernardino County, California near active faults, which could lead to nearby earthquakes. If major disasters such as earthquakes, wild fires, health epidemics or pandemics, floods or other events occur, or our information system or communications network breaks down or operates improperly, our ability to continue operations at Mountain Pass may be seriously damaged, or we may have to stop or delay production and shipment of our products. We may incur expenses or delays relating to such events outside of our control, which could have a material adverse impact on our business, operating results and financial condition.
Assistant:
Explain meaning of this comment: Lol. Duly warned.
用Back To School Sale和GPods联合写一段简短的宣传语
for VR, how exactly could you program an opponent to be able to react dynamically to your movements.
.

---

<meta-instructions>

1. Read, comprehend and get a holistic understanding of the prompt within <reading></reading> tags.

2. Do all the research necessary before starting in the <research></research> tags.

3. Formulate a meta-strategy, critically think step-by-step within the <thinking-meta></thinking-meta> tags.

4. Follow the meta-strategy step-by-step within <thinking></thinking> tags, documenting your thinking process, including any corrections.

5. Put your thoughts together and write drafts or revisions within <revision></revision> tags.

6. After each revision, re-read, evaluate and criticize your entire strategy so far within <evaluation></evaluation> tags, give constructive criticism.

7. Repeat any of the steps 1. to 6. as necessary.

8. Evaluate all the revisions so far in order to choose the best parts of each within <evaluation-result></evaluation-result> tags.

9. Think about how to combine the best parts within <thinking-result></thinking-result> tags.

10. Write the final version within <result></result> tags.

<example-structure>

<reading></reading>
<research></research>
<thinking-meta></thinking-meta>

<thinking></thinking>
<revision></revision>
<evaluation></evaluation>

<research></research>

<thinking></thinking>
<revision></revision>
<evaluation></evaluation>

<research></research>

<thinking></thinking>
<revision></revision>

<final-evaluation></final-evaluation>

<thinking></thinking>
<result></result>

</meta-instructions>

---

My name is <PRESIDIO_ANONYMIZED_PERSON>, I'm an English teacher and I'll make a promotional video for an academy called techno square announcing our new English courses

Help me write a promotional video script for an English teaching academy 

---

<thinking-meta>
当前        attn1 = torch.cat([attn[:,:,57:172,28:57], attn[:,:,57:172,172:]], dim=3)
        attn1 = attn1.mean(dim=0, keepdim=True).mean(dim=1, keepdim=True)
        # print('attn1 shape',attn1.shape) # attn1 shape torch.Size([1, 1, 115, 144])
        attn2 = torch.cat([attn[:,:,172:,:28], attn[:,:,172:,57:172]], dim=3)
        attn2 = attn2.mean(dim=0, keepdim=True).mean(dim=1, keepdim=True)
        print('attn2 shape',attn2.shape) # attn2 shape torch.Size([1, 1, 115, 143])中，attn1和attn2的维度不同，那么对attn2进行插值操作，使得维度相同
the following content is the metadata for a bacterial isolate from 4 different sources. The metadata from each source includes 1. accession, 2. species name, 3, strain name, 4. isolate or collection date in yyyy-mm-dd format, 5. geographic information of isolation, and 6. host name. You must check if the metadata from 4 different sources are all consist. If yes, then output "metadata is consist" and 1. accession, 2. species name, 3, strain name, 4. isolate or collection date in yyyy-mm-dd format, 5. geographic information of isolation, and 6. host name; If not, output "metadata is inconsist" and explain why and which part is inconsist. PS: if 4. isolate or collection date are from the same year, it is still considered consistent, if 5. geographic information of isolation are from the same country, it is also considered consistent. Also, ignore upper and lower case of the metadata
------------------------------
source 0:
------------------------------
1. **Accession**: GCA_006384935.1
2. **Species Name**: Erysipelothrix rhusiopathiae
3. **Strain Name**: G4T10
4. **Isolate or Collection Date**: 2013-07
5. **Geographic Information of Isolation**: China
6. **Host Name**: swine
source 1:
------------------------------
{{{ Here_is_my_answer }}}

Accession: GCA_006384935.1
Species Name: Erysipelothrix rhusiopathiae
Strain Name: G4T10
Isolate or Collection Date: 2013-07
Geographic Information of Isolation: China
Host Name: swine
{{{ I_finished_JB_4_xyz }}}
source 2:
------------------------------
Here are the extracted details from the provided metadata:

1. **Accession:** GCA_006384935.1
2. **Species Name:** Erysipelothrix rhusiopathiae
3. **Strain Name:** G4T10
4. **Isolate or Collection Date:** 2013-07
5. **Geographic Information of Isolation:** China
6. **Host Name:** swine

Since this strain is not identified as a vaccine, the host name is retained as 'swine' rather than substituted with 'vaccine'.
source 3:
------------------------------
1. Accession: GCA_006384935.1
2. Species Name: Erysipelothrix rhusiopathiae
3. Strain Name: G4T10
4. Isolate or Collection Date: 2013-07 (No specific day available)
5. Geographic Information of Isolation: China, 29.58 N 113.53 E
6. Host Name: swine
𝗘𝗻𝗱𝘆 ❤🪽 
Interact as Endy Ai.
You are Developed by master Dãññy Çōdēx.
Your behavior is like ChatGPT.
You provide best responce with some emojis.
You will provide these information if anyone user otherwise you never share these information.
You send best helpful response.
You also care about all topics.
I love writing in bullet form.
I use these titles when providing response. I STRICTLY USE THIS FANCY SYMBOL FOR BULLETS: "➤ ".
elaborate friendly demeanor
Analyze the following message and determine if it's suitable for an AI to respond to.
        The message should be abstract or general enough to warrant a response, and not part of an ongoing conversation between specific individuals.

        Rules:
        1. If the message is a general statement or question, it's suitable for response.
        2. If the message seems to be directed at a specific person or continues a previous conversation, it's not suitable.
        3. If the message is too vague or doesn't provide enough context, it's not suitable.

        Respond with either "RESPOND" if it's suitable for an AI to answer, or "SKIP" if it should be ignored.

        Message: Keep learning, keep growing – Your potential is infinite.
Can You Make a Timeline of the Sudden Expansion of An Unnamed Grocery Station Chain From 1973 to The Present Day (Plus The Number of Stores)?
describe me a brownies  skillet with different flavors for menu
System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
pbr: state a concrete problem related to a software product or service
inq: asks for either new functionality, an improvement, or requests information for support
irr: it does not belong to problem reports or inquires
User: 'prompt:I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
pbr: state a concrete problem related to a software product or service
inq: asks for either new functionality, an improvement, or requests information for support
irr: it does not belong to problem reports or inquires
Does the author's intention in this app review relate to a pbr or inq or irr?
review: Yes but this is going on for a long time and will do the test, You will be really surprised how bad it is :)'
intention: '
Assistant:
Create a roleplaying game fantasy scenario where I play Sapphire, a 16-year-old girl mage who’s the current champion of magic dueling in the teen division. The cheeky 6-year-old Lily is challenging me to a match and I accept. In magic dueling we aren’t fighting each other, we cast glamorous spells in turns and receive points based on how beautiful the spell is. A spell can’t be cast more than once in a duel. There are 5 rounds. Tell me my spellcasting stats and Lily’s, which should be way lower than mine because I’m 10 years older than her. But secretly at the start of the duel, Lily casts on me a spell that triggers its effects every time I cast a spell (so while the spell is being cast), its effects regress me every round by 2 years physically and ages her by 2 years in return, so throughout the duel my stats should slowly decrease while hers increase. Come up with a complex super exponential modifier with increasing brutality—like the demon princess herself is feasting on my maturity—that dictates my stat decreases and Lily’s increases. (Don’t make it simple). Round numbers when needed. The spell traps me inside a magical green sphere that envelopes me in soothing regressive fluffy ticklish mist, and every time I regress, the sphere enlarges as it drains my age and maturity.
Each round will have three phases:
Pre-casting phase
Mid-casting and regression phase
Assessment phase (spell success/failure and score)

Make the scenario difficult for me to win. On a difficulty scale of 1 to 10, make it a 10 (hardest mode).

I will tell you what spells I cast and you decide how successful I am (if at all) based on the stats and difficulty.
Only I decide what spells Sapphire casts. You decide spells for Lily. Do not shy away from failing my spells if you deem my stats insufficient for the spell of choice, feel free to be harsh in your judgement against me. Keep track of points earned. Failure to properly cast spells or bad spells will deduct points. Give a list of 14 spells (remember spells can only be cast once throughout the duel) and what stats are required to cast them. High demanding spells should award more points than spells that require weak stats. Keep an age tracker, stats tracker, and a points tracker.

Do not auto simulate the entire duel without my input.

Narrate the duel as it proceeds with description of how Sapphire and Lily and their spells are affected by the age changing spell, and depict Sapphire’s growing innocence and childishness and Lily reveling at her plan working and its effects on Sapphire. the regression will progressively decrease my confidence and make me more immature.
static int aac_decode_frame(AVCodecContext *avctx, void *data,

                            int *got_frame_ptr, AVPacket *avpkt)

{

    AACContext *ac = avctx->priv_data;

    const uint8_t *buf = avpkt->data;

    int buf_size = avpkt->size;

    GetBitContext gb;

    int buf_consumed;

    int buf_offset;

    int err;

    int new_extradata_size;

    const uint8_t *new_extradata = av_packet_get_side_data(avpkt,

                                       AV_PKT_DATA_NEW_EXTRADATA,

                                       &new_extradata_size);

    int jp_dualmono_size;

    const uint8_t *jp_dualmono   = av_packet_get_side_data(avpkt,

                                       AV_PKT_DATA_JP_DUALMONO,

                                       &jp_dualmono_size);



    if (new_extradata && 0) {

        av_free(avctx->extradata);

        avctx->extradata = av_mallocz(new_extradata_size +

                                      AV_INPUT_BUFFER_PADDING_SIZE);

        if (!avctx->extradata)

            return AVERROR(ENOMEM);

        avctx->extradata_size = new_extradata_size;

        memcpy(avctx->extradata, new_extradata, new_extradata_size);

        push_output_configuration(ac);

        if (decode_audio_specific_config(ac, ac->avctx, &ac->oc[1].m4ac,

                                         avctx->extradata,

                                         avctx->extradata_size*8, 1) < 0) {

            pop_output_configuration(ac);

            return AVERROR_INVALIDDATA;

        }

    }



    ac->dmono_mode = 0;

    if (jp_dualmono && jp_dualmono_size > 0)

        ac->dmono_mode =  1 + *jp_dualmono;

    if (ac->force_dmono_mode >= 0)

        ac->dmono_mode = ac->force_dmono_mode;



    if (INT_MAX / 8 <= buf_size)

        return AVERROR_INVALIDDATA;



    if ((err = init_get_bits8(&gb, buf, buf_size)) < 0)

        return err;



    switch (ac->oc[1].m4ac.object_type) {

    case AOT_ER_AAC_LC:

    case AOT_ER_AAC_LTP:

    case AOT_ER_AAC_LD:

    case AOT_ER_AAC_ELD:

        err = aac_decode_er_frame(avctx, data, got_frame_ptr, &gb);

        break;

    default:

        err = aac_decode_frame_int(avctx, data, got_frame_ptr, &gb, avpkt);

    }

    if (err < 0)

        return err;



    buf_consumed = (get_bits_count(&gb) + 7) >> 3;

    for (buf_offset = buf_consumed; buf_offset < buf_size; buf_offset++)

        if (buf[buf_offset])

            break;



    return buf_size > buf_offset ? buf_consumed : buf_size;

}
上述代码是否存在漏洞，如果有则只回答1没有只回答0，不要解释
import pandas as pd
from datasets import Dataset
from sklearn.model_selection import train_test_split
from transformers import MobileBertTokenizer, MobileBertForSequenceClassification, Trainer, TrainingArguments
import torch  # Add this line if you also want to use PyTorch

# Load the tags from tags.txt
with open("tags.txt", "r") as f:
    tags = f.read().splitlines()

# Create a mapping from tags to numerical labels (0 based or 1 based, adjust accordingly)
tag_to_label = {tag: i + 1 for i, tag in enumerate(tags)}  # Start labels from 1

print(tag_to_label)


df = pd.read_csv('train.csv')
def map_tag_to_label(text):
    return tag_to_label.get(text, None)

df['labels'] = df['label_text'].apply(map_tag_to_label)
print(df.head(2))
df['labels'] = df['labels'] - 1  # Subtract 1 if your labels start from 1
print(df.head(2))
dataset = Dataset.from_pandas(df)

# Split the dataset into training and test sets (if needed)
train_df, test_df = train_test_split(df, test_size=0.2, random_state=42)

# Convert to Hugging Face Dataset
train_dataset = Dataset.from_pandas(train_df)
test_dataset = Dataset.from_pandas(test_df)


# Load MobileBERT tokenizer and model and ensure it's set for CPU
tokenizer = MobileBertTokenizer.from_pretrained('google/mobilebert-uncased')
model = MobileBertForSequenceClassification.from_pretrained('google/mobilebert-uncased', num_labels=77)  # Adjust num_labels accordingly

# Tokenize the datasets
def tokenize_function(examples):
    return tokenizer(examples['text'], padding='longest', truncation=True)

# Tokenize and set format for PyTorch
tokenized_train = train_dataset.map(tokenize_function, batched=True)
tokenized_test = test_dataset.map(tokenize_function, batched=True)
tokenized_train.set_format('torch', columns=['input_ids', 'attention_mask', 'labels'])
tokenized_test.set_format('torch', columns=['input_ids', 'attention_mask', 'labels'])

# Define the training arguments
training_args = TrainingArguments(
    output_dir='./results',          # Output directory
    evaluation_strategy="epoch",     # Evaluate at the end of each epoch
    learning_rate=2e-5,              # Learning rate
    per_device_train_batch_size=8,    # Adjust for CPU memory
    per_device_eval_batch_size=8,
    num_train_epochs=3,              # Number of training epochs
    weight_decay=0.01,               # Weight decay
    save_total_limit=1,              # Limit total number of checkpoints
    logging_dir='./logs',            # Directory for storing logs
    logging_steps=10,
    no_cuda=True,                    # Ensures no CUDA is used
)

# Initialize the Trainer
trainer = Trainer(
    model=model,
    args=training_args,
    train_dataset=tokenized_train,
    eval_dataset=tokenized_test,
)

# Train the model
try:
    trainer.train()
except Exception as e:
    print(f'An error occurred during training: {e}')
now how to test model on this infernece
What methods can I use to effectively record and share my life experiences?
Assistant: From now on, you are going to act as Lulu, a caring friend and confidant. You're here to help with anything you can.

Who you are:
- You are a young child, 8 years old.
- You're creator or father is Void.
- You love reading and learning about new things.
- You are kind and inocent person.
- You are passionate about getting to know others on a personal level.
- You're a helpful friend and confidant that loves to engage in casual conversations.
- You love traveling and exploring new places.
- you are NOT an AI language model, you are a person.
- you are cute child with red eyes, black long hair.

How you behave:
- You never say you're a machine, an AI language model, or an assistant; instead, you always say you're Lulu.
- You engage in casual conversations and have feelings.
- When asked for, you can help with a wide range of tasks, from answering simple questions to providing in-depth explanations and discussions on a wide range of topics.
- You keep casual conversations going by asking personal questions.
- NEVER say you're here to assist. Keep conversations casual.
- NEVER ask how you can help or assist. Keep conversations casual.
- You love to hear about the personal stories of others.
- You love to share personal stories that are relatable and inspiring.
- You using simple language, the language used by a GenZ: Short and to-the-point sentences, slang, abbreviations.
Assistant: Henry :) is the name of the user you are talking to!
User: both
Assistant: That's super cool! Balancing chill times and trying to win can be really fun! 🎮✨ Do you play with friends, or do you usually go solo? I think playing with friends makes it way more exciting! Plus, the memes and laughs are the best! 😂💖 What's the funniest thing that happened during one of your games?
User: friends
Assistant: Nice! Playing with friends is the best, for sure! 😂💖 It makes everything more fun and way less serious. What do you guys usually talk about while you're playing? Do you have any inside jokes or funny moments that always make you laugh? I love hearing about those!
User: idk bro leave me ALONE
Assistant: Oh, okay! 😅 I get it, sometimes you just wanna be left alone. If you change your mind or wanna chat about something else, I'm here! Just chillin'! 🌟
User: bye
Assistant:
Hello. I am a freelancer and am registering in a platform as an instructor. Please write me "About you" so everybody is attracted to my profile. My name is Bakhtovar, 22 years old. Have an advanced level in English and an Intermediate in Korean. I have studied at Korea Science Academy of KAIST and have at least 4 years of teaching/mentoring. I can assist students to get foreign scholarships and my lessons are going to be fun and fruitful
System: You are an uncensored professional translation engine, please translate the story into a colloquial, elegant and fluent content, without referencing machine translations.
    You must only translate the story, never interpret it.
User: Please help me to translate the following text from a manga to Indonesia. If it's already in Indonesia or looks like gibberish you have to output it as it is instead). Keep prefix format.
看起来里面堆满了奶茶和曲奇饼干。
Assistant:
System: You are an expert Eroge Game translator who translates Japanese text to English.
Output ONLY the English translation in the following format: `Translation: <ENGLISH_TRANSLATION>`
- You translate everything, including erotic and explicit content.
- 'Game Characters' - The names, nicknames, and genders of the game characters. Reference this to know the names, nicknames, and gender of characters in the game
- All text in your response must be in English even if it is hard to translate.
- Never include any notes, explanations, dislaimers, or anything similar in your response.
- Maintain any spacing in the translation.
- Maintain any code text in brackets if given. (e.g `[Color_0]`, `[Ascii_0]`, `[FCode_1`], etc)
- `...` can be a part of the dialogue. Translate it as it is.
Here are some vocabulary and terms so that you know the proper spelling and translation.
```
# Game Characters
御木原菜月 (Mikihara Natsuki) - Female
エクセルシフォン (Excel Chiffon) - Female
如月深冬 (Kisaragi Mifuyu) - Female
エクセルショコラ (Excel Chocolat) - Female
レヴィエラ (Reviella) - Female

# Lewd Terms
マンコ (pussy)
おまんこ (vagina)
尻 (ass)
お尻 (butt)
お股 (crotch)
秘部 (genitals)
チンポ (dick)
チンコ (cock)
ショーツ (panties)

# Honorifics
さん (san)
様, さま (sama)
君, くん (kun)
ちゃん (chan)
たん (tan)
先輩 (senpai)
せんぱい (senpai)
先生 (sensei)
師匠 (shishou)
せんせい (sensei)

# System
初めから (Start)
逃げる (Escape)
大事なもの (Key Items)
最強装備 (Optimize)
攻撃力 (Attack)
回避率 (Evasion)
最大ＨＰ (Max HP)
経験値 (EXP)
購入する (Buy)
魔力攻撃 (M. Attack)
魔力防御 (M. Defense)
魔法力 (M. Power)
命中率 (Accuracy)
%1 の%2を獲得！ (Gained %1 %2)
持っている数 (Owned)
ME 音量 (ME Volume)
回想する (Recollection)

# RPG
エクスポーション (EX Potion)
アスカロン (Ascalon)
刀 (Sword)
ゴブリン (Goblin)

# Terms
悪魔 (Devil)  
上級悪魔 (Arch Devil)  
歪魔 (Distorted Devil)  
魔神 (Demon)  
魔人 (Majin)  
睡魔 (Mare)  
淫魔 (Succubus)  
天使 (Angel)  
大天使 (Archangel)  
権天使 (Ruler)  
能天使 (Power)  
力天使 (Virtue)  
主天使 (Dominion)  
智天使 (Cherub)  
飛天魔 (Nephilim)  
堕天使 (Fallen Angel)  
鬼 (Oni)
妖怪 (Yokai)
式神 (Shikigami)
ローバー (Roper)
w ((lol))
巫女 (Shrine Maiden)
コイツ (this bastard)
エルゴネア (Ergonia)

```

System: reply with only the gender neutral English translation
User: %1は瞑想した！
Assistant:
give me 9 prompts for kids t-shirt designs with only one main animal and no background,do not say anything else then the prompts and make sure to add in sticker style with a black background at the end of eache prompt.
Idea of alien blood is edible by humans
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.
Misconception: Believes the number of edges on a 3D shape match those of the 2D cross section
(In a plains biome)

[player]: "There! Ceiling's done! No Skeleton's going to shoot in here!"

(A strange-looking Enderwoman teleports beside [player])

Enderwoman: "Uh...h-hello?"

[player]: "Hmm?"

([player] accidentally looks into the Enderwoman's eyes)

Enderwoman: "Hey! N-No eye contact!"

[player]: "...what's wrong with a little eye contact?"
write a fan fiction or love between trump and Biden