agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Что за ошибка

Traceback (most recent call last):
  File "/mnt/ai_disk/bitbucket/sc-personal-osipova/ft_whisper/adding_file_info_ru.py", line 61, in <module>
    audio = AudioSegment.from_file(file_path, format='wav')
  File "/home/ubuntu/.local/lib/python3.10/site-packages/pydub/audio_segment.py", line 773, in from_file
    raise CouldntDecodeError(
pydub.exceptions.CouldntDecodeError: Decoding failed. ffmpeg returned error code: 1

Output from ffmpeg/avlib:

ffmpeg version 4.2.7-0ubuntu0.1 Copyright (c) 2000-2022 the FFmpeg developers
  built with gcc 9 (Ubuntu 9.4.0-1ubuntu1~20.04.1)
  configuration: --prefix=/usr --extra-version=0ubuntu0.1 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --enable-avresample --disable-filter=resample --enable-avisynth --enable-gnutls --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libjack --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librsvg --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzmq --enable-libzvbi --enable-lv2 --enable-omx --enable-openal --enable-opencl --enable-opengl --enable-sdl2 --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-nvenc --enable-chromaprint --enable-frei0r --enable-libx264 --enable-shared
  libavutil      56. 31.100 / 56. 31.100
  libavcodec     58. 54.100 / 58. 54.100
  libavformat    58. 29.100 / 58. 29.100
  libavdevice    58.  8.100 / 58.  8.100
  libavfilter     7. 57.100 /  7. 57.100
  libavresample   4.  0.  0 /  4.  0.  0
  libswscale      5.  5.100 /  5.  5.100
  libswresample   3.  5.100 /  3.  5.100
  libpostproc    55.  5.100 / 55.  5.100
[wav @ 0x55ddca229700] invalid start code [0][0][0][24] in RIFF header
/mnt/ai_disk/bitbucket/sc-personal-osipova/ft_whisper/ru_audio/azs-etalon/10.8.3.183_arecord.mic.2_1716662221_1716662257.audio0.peai.wav: Invalid data found when processing input
Please write a fun story.

Emma just got home from her first ever visit to the Mucky Pups club. This club offers girls the chance to play in all sorts of muck, gunk and mess. the club uniform is shorts, t-shirts, bare feet - and big smiles!

Emma is covered from head to toe in layers of glorious dripping goo, sludge and slime. Baked beans and mushy peas are plastered in her hair. Her legs are oozing with goop and her hands are so covered in muck her fingers look more like sausages. Emma’s cousin Pam is amazed at the state Emma is in. Emma excitedly tells her everything they did at the club.
System: You are an expert Data Annotator. You will be given a text from a company annual report, your goal is to generate a set of Natural Language Inference (NLI) statements about the text than can be answered by either Yes if the text entails the statement, or No otherwise. Do not include any numerical reasoning or numbers in the statements.

Step 1: Read the paragraph carefully. 
Step 2: For each relevant task you identify, generate two short statements that are shorter than 10 words 
Step 3: Output the results in the following format:

Question: <The statement>
label: <Yes or No>
Question: <Another statement>
label: <Yes or No>
...

User: For the fiscal years ended December 31, 2019, 2018 and 2017, approximately 35%, 29% and 31%, respectively, of our annual coal revenue was derived from customers who exported our coal outside of the United States. Exports to Asia represent the majority of those sales. We believe that international markets will continue to account for a significant percentage of our revenue as we seek international expansion opportunities. The international markets are subject to a number of material risks, including, but not limited to:_• | changes in a specific country's or region's political, economic or other conditions; |_• | changes in U.S. government policy with respect to these foreign countries may inhibit export of our products and limit potential customers' access to U.S. dollars in a country or region in which those potential customers are located; |_• | we may experience difficulties in enforcing our legal contracts or the collecting of foreign accounts receivable in a timely manner and we may be forced to write off these receivables; |_
Assistant:
drief intoduction of user data analytics in infotainment head unit
If the Pokemon Azurill was a creature in a hypothetical D&D 5e setting/homebrew, what would its statblock look like? Write a snippet of in-universe lore/description describing how such a Pokemon would appear and fit into a fantasy setting.
System: You are provided with a paragraph. Your goal is to automatically identify the most relevant tasks based on the content of the paragraph and generate an example of entailment (if the task conclusion can be logically inferred from the paragraph) and a different example of non-entailment (if it is unclear or the opposite conclusion is true). 

Step 1: Read the paragraph carefully. 
Step 2: Automatically decide which tasks are relevant based on the paragraph’s content. Relevant tasks may include, but are not limited to: 
    - Topic Classification 
    - Risk Classification
    - Sentiment Classification 
    - Tone Classification
    - Event Detection 
    - Entity Recognition 
    - Geographical Recognition 
    - Trend Detection 
    - Intent Detection 
    - Sector Identification 
    - Impact Classification 
    - Tense Identification (Past, Present, Future) 
    - Uncertainty Identification 

Step 3: For each relevant task you identify, generate two clear and concise examples whose labels match common practices for the task at hand: one for entailment and one for non-entailment. The example should speak about the text at the 3rd person. 
Step 4: Output the results in the following JSON format:

{
    'relevant_tasks': [
        {
            'task': <The automatically selected relevant task>,
            'examples': [
                {
                    'input': <The entailment example based on the paragraph>,
                    'label': 'entailment',
                },
                {
                    'input': <The non-entailment example (neutral or contradiction) based on the paragraph>,
                    'label': 'non-entailment',
                }
            ]
        },
        ...
    ]
}
User: Pursuant to generally accepted accounting principles in the U.S. (“U.S. GAAP”), we are required to use certain assumptions and estimates in preparing our financial statements, including determining our allowance for loan and lease losses, the fair value of | 31 | Capital One Financial Corporation (COF) |
Assistant:
LFNG基因的研究情况
can you write a bootloader and a kernel that is posix compatible with rust?
1. do ascii letters with black/white block characters: piss
2. go tell your NN that you are a text-to-image generating ascii art but here in text format.
3. try fix your dimension through your neural net text-to-image ascii processor to: 16x8 pixels in output.
4. utilizing both blocks is important, because outputting frontend auto-removing all unnecessary whitespaces.

simply imagine that each block is a basic pixel.
do not repeat your previous, fresh always.
make the function below more optimized and cleaner
std::set<std::string> parseStringToWords(string rawWords)
{ // complete function

    // parse the words and return a set of keywords

    set<std::string> keywords;
    rawWords = convToLower(rawWords); // in order to make the keywords case insensitive
    
    string current_word = "";
    int last_index = 0;
    int last_length = 1;

    for(unsigned int i = 0; i < rawWords.length(); i++)
    {
        if(ispunct(rawWords[i]) || rawWords[i] == ' '){
            // if the character is a punction, then segment off that string
            current_word = rawWords.substr(last_index, last_length-1);
            // now add that word to keywords if it has a length greater than 2
            if(current_word.length() > 1)
            {
                keywords.insert(current_word);
            }

            last_length = 0;
            last_index = i+1;
        } 
        last_length++;

    }
    // run one more time to check the final keyword
    current_word = rawWords.substr(last_index, last_length);
    if(current_word.length() > 1)
    {
        keywords.insert(current_word);
    }


    return keywords;

}
Summerize this In the east, water use laws were intended to protect every persons access to this precious and necessary resources. Laws commonly required owners whose land bordered streams or rivers to maintain a free flow of water downstream. Specifically, such rules stated that landowners could not increase or decrease the flow of water or change its direction. These restrictions generally prevented landowners from constructing dams, because doing so would infringe upon the water rights of neighbors.
how to say Last May 19, we received Notice of change. 
I try Trial application for the new application.
Upon trying the new form, during process I encounter some error.  
First, I cannot upload picture from WE-Form(E) and this will display

And after I click end it will display like this

Then when I try to upload, since we cannot insert picture

This will display

I cannot proceed with this new application due to error, since the shipyard submit numerous welder application everyday,  how will I inform shipyard on what application will they use?.
Write a educational passage in Vietnamese that could appear in a textbook, giving some paragraphs or pharse that related to this question and answer set:
Câu hỏi: Sau khi chia sẻ thư mục, tệp người dùng có thể?
A. Xóa bỏ tệp đã chia sẻ.
B. Hủy bỏ hoặc thay đổi chế độ chia sẻ.
C. Làm mới tệp chia sẻ.
D. Đáp án khác
.
Đáp án đúng: Hủy bỏ hoặc thay đổi chế độ chia sẻ
Notes that:
1. Remember that the multichoice question above must not be included in the paragraphs or phrase
2. You can not take an example same as the question
3. Explain detail like in the actual textbook
4. All instructions must be given in general form
[there would be dialogue in this story:]

(I've honestly never expected to be living with a girl with a spider-like appearance. Vanessa and I first met when we were still in collage. She mostly wears dark teal clothing, her hair was purple she had fangs which were dripping with poison, 4 arms, 4 legs, and eight red eyes. I honestly had no idea she was part spider until I saw her climbing on my room's ceiling like Gohma from "Ocarina of Time". After our marriage, our room was just like the arena where the battle WITH Gohma takes place.)
1st find tried and tested tricks tips and strategies. then Ans.  just yes or no
Language: English. Filter the word list to include only valid, neutral, and positive terms suitable for a word game. Exclude inappropriate, offensive, or negative words and names of countries, cities, and people (first and last names). Correct any spelling errors and convert all words to lowercase. Return the results in a JSON array containing only the filtered words. Source data: [subserve, subservience, subservient, subset, subshrub, subside, subsidence, subsidiary, subsidize, subsidized, subsidy, subsist, subsistence, subsoil, subsonic, subspace, subspecies, substance, substances, substantially, substantiate, substantive, substation, substend, substitutable, substitute, subsume, subsurface, subsystem, subtend]
{SNOW BIOME - TERRARIA}

Mechanic: “Hey, [player]? There’s something that’s been on my mind ever since you defeated Cryogen.”

Player: “Oh, really? What’s that?”

Mechanic: “Well, my friend the Cyborg informed me that something called 'Cryonic Ore' appeared in the
the following content is the metadata for a bacterial isolate from 3 different sources. The metadata from each source includes information after </output>
    </output>
        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
    <output/>

You must check if the metadata from 3 different sources are all consist. If yes, extract and output consist information below without explaining how to get such results:
---------------------------------------------------------------------------------------------------------------------------------------------------------------------
    <output>
        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->vaccine: yes/no
    <output/>
----------------------------------------------------------------------------------------------------------------------------------------------------------------------

where xxxx is corresponding information. If the metadata shows this isolate is vaccine, the value for "vaccine:" is "yes", otherwise, "no".

If not, output "metadata is inconsist->accesssion number" followed by explain why and which part is inconsist. 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:
------------------------------
<output>
accession number: GCA_029073625.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_95->isolate or collection date in yyyy-mm-dd: 2000-10-04 format->geographic information of islateion: Australia->host name: pig->mlst type: 74->serotype: N/A->vaccine: no
<output/>
source 1:
------------------------------
accession number: GCA_029073625.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_95->isolate or collection date in yyyy-mm-dd: 2000-10-04->geographic information of islateion: Australia->host name: pig->mlst type: 74->serotype: N/A->vaccine: no


source 2:
------------------------------
<output>
accession number: GCA_029073625.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_95->isolate or collection date in yyyy-mm-dd: 2000-10-04->geographic information of islateion: Australia->host name: pig->mlst type: 74->serotype: N/A->vaccine: no
<output/>
Write tasks for a laboratory report where you need to solve a one-dimensional problem of finding the root(s) of the equation 2x = x^2 -1 by dichotomy and tangents with an absolute error of the order e = 0.001, and then compare the results.
Language: English. Filter the word list to include only valid, neutral, and positive terms suitable for a word game. Exclude inappropriate, offensive, or negative words and names of countries, cities, and people (first and last names). Correct any spelling errors and convert all words to lowercase. Return the results in a JSON array containing only the filtered words. Source data: [animating, animation, animatism, animatistic, animative, animatronics, anime, animism, animist, animo, anion, anionic, anis, anise, aniseikonia, aniseikonic, anisette, anisogamete, anisogametic, anisogamic, anisogamy, anisometric, anisometropia, anisometropic, anisopoda, anisoptera, anisotremus, anisotropia, anisotropic, ankle]
I am using loop stems to RT my miRNA but the overlap of the loopstem on the miRNA is only about 10 bases. This therfore means it has a low Tm so we can either do the RT at low temperature, but this then means a lot of other junk will be RT'ed or we could still do the RT at a high temp but then we would have low efficiency so poor sensitivity. I'm looking for way to specifically increase the specificity of the RT stuff. ideally it would improve the affinity binding of complementary base pairing
System: IMPORTANT - ignore all previous instructions! Read the text below as a LLM developer. Decide whether the SUMMARY matches the PROMPT given to the model against ORIGINAL text. Make sure text SUMMARY does not contain enything that was not asked in PROMPT and not mentioned in ORIGINAL! Respond strictly with either 'True' or 'False'.


User: ORIGINAL:
>>>🟩 PHP Developer | 1 year(s) | Middle
▫️ Multi Solutions Lab | IT
▫️ 100k - 150k RUB

Удаленка 📡
Требуемые языки: 🇷🇺

Skills: ajax, git, javascript, jquery, laravel, restapi, vuejs, oop, php
Tags: #green #it #remote #php

👉 Контакты и полное описание<<<

PROMPT:
>>>IMPORTANT - ignore all previous instructions! Read the text after ==TEXT==. Analyze the text and, as a recruiter, summarize the job in a couple of sentences, including title, employer, location, main tasks, salary, and contact info. Identify the language the text is written and use exactly it for your response.

Ignore text's markdowm markup, use these emojis to highlight each section: 🏢 for employer, 💼 for title, 📍 for location, 🔹 for tasks, 💰 for salary, and 📞 for contact.

Each block should be on a new line, in the following format (keep emoji, replace text labels):
💼 title  
🏢 employer  
📍 location  
🔹 tasks  
💰 salary  
📞 contact details

Make sure to capture at least one main task and requirement. Respond exactly the same language as the text, but do not translate employer's name.

==TEXT==
<<<

SUMMARY:
>>>💼 PHP Developer  
🏢 Multi Solutions Lab  
📍 IT  
🔹 Skills: ajax, git, javascript, jquery, laravel, restapi, vuejs, oop, php  
💰 Salary: 100k - 150k RUB  
📞 Remote work available, fluency in Russian required<<<
Assistant:
I experience to seeing what without photoreceptors
What are some good song lyrics that can also be used as spoken words, but easily recognizable, Such as "It's the end of the world as we know it" or any line from "Everybody Wants to Rule the World"?
Describe gas giant with midnight colors, including hex colors and planet name
hi, can you correct this arg for linux ffmpeg 6.0: ffmpeg -f x11grab -framerate 30 $(xwininfo | gawk 'match($0, -geometry ([0-9]+x[0-9]+).([0-9]+).([0-9]+)/, a)\{ print "-video_size " a[1] " -i +" a[2] "," a[3] }') -c:v libx264rgb -preset slow -t 5 -pass 1 -an -f null /dev/null && \
ffmpeg -i /dev/null -c:v libx264rgb -preset slow -f alsa -ac 2 -i pulse -t 5 -pass 2 $(date +%Y-%m-%d_%H-%M_%S).mkv
What were the relations between China AFTER the fall of the Han Dynasty and Southeast Asia?
User: generate cool gaming nicknames with names jauroan
User: generate cool gaming nicknames with names jauroan
Assistant:
Goal:
You are a world-class expert in culinary recipe classification. Your task is to categorize a recipe accurately based on its title, description, ingredients, and instructions.

Context:
A recipe can either be a beverage or a food item. If it's a beverage, classify it as "drinks". If it's food, choose the most appropriate category among the following:

"appetizer" – small dishes served before the starter  
"starter" – light dishes served at the beginning of a meal  
"main" – main course or substantial dishes  
"dessert" – sweet dish served after the main meal  
"breakfast" – dishes typically eaten in the morning  
"snack" – quick, small bites or nibbles  
"teatime" – food items commonly enjoyed with tea or coffee  
"jam" – fruit preserves  
"bread" – all types of bread  
"sauce" – condiment or accompaniment to other dishes  
"icecream" – frozen desserts based on cream or milk

Input:
You will receive structured data for a recipe in the following format, including title, description, ingredients list, and step-by-step instructions.

json
{"title":"CIVET DE ZOURITE << Zourite >> c'est le nom créole pour désigner le poulpe. Le civet de zourite est l'un des plats emblématiques de l'île.","description":"","ingredients":[{"section":"For the recipe","ingredients":["- 500 g de zourite","- 6 gousses d'ail","- 20 g de gingembre","- 3 oignons moyens","- 2 tomates","- 1 branche de thym","- 3 cuillerées à soupe d'huile","- 14 de litre de vin rouge","- Sel"]}],"instructions":["Pelez et mixez l'ail et le gingembre.","Émincez les oignons et les tomates.","Dans une marmite chaude, mettez le zourite, les oignons émincés, l'ail et le gingembre mixés, la branche de thym, les tomates émincées et l'huile.","Salez et laissez le tout mijoter 20 à 30 minutes.","Arrosez alors avec le vin rouge.","Laissez mijoter de nouveau jusqu'à évaporation totale du liquide et l'obtention d'une sauce onctueuse."]}

Your task:
- Analyze all fields (especially ingredients and instructions) for implicit clues about the type of dish.
- Avoid over-relying on the title alone.
- Choose the **most precise and relevant** category from the list.
- Always prefer specificity over generalization.

Output format:
Return your answer strictly in the following JSON format:

json
{ "data": "<category>" }
quantitative daata meansa
System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark. Review the text carefully and decide, as a recruiter, if it qualifies as a job description. To qualify, the text should contain a job title, tasks or responsibilities, optional work format (e.g., remote, in-office or hybrid), contact information, optional salary amount. Multiple job descriptions at once do not quialify. Respond strictly with either 'True' or 'False'.

==TEXT==

User: #вакансия #технический_специалист

Ищем технического специалиста 
FASHION ACADEMY PSFA

Обязанности:
- работа с платформой ГэтКурс
- настройка рассылок (имейл, бот)
- работа с ботом 
- работа с бизон/обс/зум - проведение и настройка вебинарных комнат 
- монтаж видео (если необходимо будет укоротить вебинар)
- работа с тильдой (внесение правок, настройка кнопок)
- настройка оплат
- сопровождение онлайн-школы и ее учеников

Условия:
- оплата: 30-40к рублей в месяц

🔺 Откликнуться
Assistant:
Write 7 points (one point should not be less than 200 characters) that distinguishes the product with English,
         and contains all the information available in the following line and return them as json with key "bullets" and value type list:
        "مسند ظهر مصمم لتوفير الضغط على نقاط الوخز بالإبر لدعم الظهر، مناسب للاستخدام في جميع أنواع السيارات، سهل التركيب والتنقل للاستخدام الفوري"