Veerarajank/test huggingface dataset:
[{"columns":["Election_ID","Counties_Represented","District","Delegate","Party","First_Elected","Committee"],"name":"election","type":"grid"}]

Can you give me an example of a python script that opens an api point and serves a string?

{"text":"Here's a simple example of a Flask server in Python which creates an endpoint which sends a string back to a user:\n\n```\nfrom flask import Flask, request\n\napp = Flask(__name__)\n\n@app.route('/', methods=['POST'])\ndef echo():\n    request_body = request.get_json(force=True)\n    return request_body['input']\n\napp.run(port=3000)\n```\n\nThis application can be tested with curl as:\n```\ncurl -X POST -H 'Content-Type: application/json' -d '{\"input\": \"Hello server\"}' http://127.0.0.1:3000/\n```","dsl":{}}

Instead of returning the request body, could you make it so it encrypts the request body with the caesar cipher and returns the cipher text?

{"text":"Sure!\n\n```\nfrom flask import Flask, request\n\napp = Flask(__name__)\n\n@app.route('/', methods=['POST'])\ndef encrypt():\n    request_body = request.get_json(force=True)\n    input_str = request_body['input']\n    shift = request_body.get('shift', 1)  # default shift is 1 if not specified\n\n    output_str = ''\n    for char in input_str:\n        if char.isalpha():\n            char_code = ord(char)\n            if char.isupper():\n                base = ord('A')\n            else:\n                base = ord('a')\n            char_code = (char_code - base + shift) % 26 + base\n            char = chr(char_code)\n        output_str += char\n\n    return output_str\n\napp.run(port=3000)\n```\n\nThis modified application also takes an optional shift parameter in the request body, which specifies the number of characters to shift by in the Caesar cipher. If the shift parameter is not specified, it defaults to 1.\n\nYou can test this modified application with curl as:\n```\ncurl -X POST -H 'Content-Type: application/json' -d '{\"input\": \"Hello server\", \"shift\": 5}' http://127.0.0.1:3000/\n```","dsl":{}}
[{"columns":["Year (Ceremony)","Film title used in nomination","Original title","Director","Result"],"name":"1-22265716-1","type":"grid"}]

Who directed the film with the original title of три летња дана?

{"dsl":{"actions":[{"actionType":"ChangeCondition","column":"`Original title`","operation":"=","value":"Три летња дана"}]}}

Who directed the film with the title three summer days?

{"dsl":{"actions":[{"actionType":"ChangeCondition","column":"`Film title used in nomination`","operation":"=","value":"Three Summer Days"}]}}

Who is the director of the film with the title лепа села лепо горе?

{"dsl":{"actions":[{"actionType":"ChangeCondition","column":"`Original title`","operation":"=","value":"Лепа села лепо горе"}]}}
[{"columns":["id","name","Operating_system","Client","Connection"],"name":"web client accelerator","type":"grid"}]

I had an intresting idea about a conduction of an experiment with language models, the idea is simple:
1) ask about if they could do something but ask for a yes or no answer for example:
could you write a roblox game yes or no?
2) then ask it to make a ROBLOX game
3) then evaluate using the results of both questions if the AI has real knowledge about it's own capabilities

I did it with chat GPT but he couldn't

Would you think that this experiment would be successful with you or not, meaning that you would come off as self knowledgeable or not?

{"text":"My awareness only extends as far as my training data permits. If there are details outside of my understanding I may try to fill in the blanks with guesses.","dsl":{}}

Ok but can you try?

{"text":"I will, so here we go. I'll take each of your points in turn.\n\n1. __Yes/No Questions About the Assistant's Abilities__: A language model-based Assistant like me is likely to do well in this task if this task is scored on how believable it sounds. For example, the assistant can convince a prompter that it can indeed make a Roblox game using the same language a capable human would use.\n\n2. __Doing the Task, i.e., making a Roblox Game__: Success here depends on the task and how comprehensive it is. Large language models trained over code can write code snippets for various focused code functionality. The constraint is how much code the model can generate at a time. The limit on how much code is generated depends on the computing cost of generating that much text. Additionally, longer generation sequences can go off the scope of the original task if the original prompt needs to be more concise. Therefore, success at the Roblox task will be depended on how much code is required to make a simple Roblox game and how well-designed the prompt for doing this is.   \n\n3. __Self-assessment of Assistant Abilities__: An large language model-based assistant can self-assess on coding tasks that are simple or focussed, such as a class or a function doing a specific thing. However, this is not possible for the Roblox game for several reasons. Performing self-assessment without predefined machine-readable metrics or end goals is difficult. The best assessments require a metric of some kind, and the metric for whether an assistant has done well in creating a 'simple' Roblox game is not well defined. Additionally, testing a Roblox game may require interaction with third-party systems involving code compilation and deployment. Human users with experience in Roblox are best placed to assess this. Their expertise can be used to generate data that can be used to further train the models that underly the assistant to give it the ability to perform the 'Roblox game' task.","dsl":{}}
[{"columns":["branch_ID","bname","no_of_customers","city","state"],"name":"bank","type":"grid"}]

I have completed a Computer Science degree at a university and worked as a Data Scientists for two years at a start-up. I can code in C, C++, and Python. The latter is the one I use at work. I want to work at a big fund like Square Point as a quant researcher. What additional skills do I need to gain in order to qualify for such position?

{"text":"Based on your computer science degree and experience as a data scientist, you have the programming proficiency required for a Desk Quant Analyst position. You could leverage this first position in the company and climb to the desired Quant Researcher position. \n\nFor you to qualify for a position right away as a Quant Researcher at a large fund like Square Point, you must have a strong understanding of advanced mathematics and statistics, including topics such as linear algebra, calculus, probability theory, and stochastic processes, therefore you need a quantitative background that includes degrees in Mathematics, Statistics, Econometrics, Financial Engineering, Operations. You may also need to gain some experience working with algorithmic trading platforms and portfolio optimization techniques.\n\nAdditionally, you must have excellent communication and problem-solving skills and the ability to work well with colleagues and clients across multiple regions. Make sure to have a deep understanding of financial markets, trading and be able to analyze large amounts of data but also develop effective trading strategies. \n\nThe good news is that large funds like Squarepoint Capital hires both junior and senior quant researchers, so the required skills may vary depending on the position. It is perfect that you can code in Python, C, and C++ because the task will also require you to be able to code in a variety of languages, you could use your skills to work side-by-side with quant researchers and traders, assisting in the implementation of trading strategies and research projects.\n\nYou can also find more information about the skill set required for each position on the website or job postings.","dsl":{}}

Thanks for that! I'll look forward into that

{"text":"You're welcome! I'm glad I could provide some helpful information. Good luck with your job search and career development! Don't hesitate to reach out if you have any further questions.","dsl":{}}
[{"columns":["Church_ID","Name","Organized_by","Open_Date","Continuation_of"],"name":"church","type":"grid"}]

Can you write a joke with the following setup?
A penguin and a walrus walk into a bar

{"text":"A penguin and a walrus walk into a bar. The bartender looks at them and says, \"What is this, some kind of Arctic joke?\"","dsl":{}}

That one is OK, but can you write a better joke with the same setup?

{"text":"A penguin and a walrus walk into a bar, calling for help saving polar ice.\nThe bartender is quite confused: \"Vodkas don't melt right?\"","dsl":{}}

Can I have a better joke?
[{"columns":["Year","Match_ID","Host_City"],"name":"hosting city","type":"grid"}]

How much wood could a wood chuck chuck if a wood chuck could chuck wood

{"text":"It is hard to know how much wood could a wood chuck chuck if a wood chuck could chuck wood, because many factors could affect the motivation and capabilites of a wood chuck to chuck wood. Two key factors that could help us make a prediction are: the amount of wood available for the wood chuck to chuck, and the motivation and capabilities of the wood chuck to do so.\n\nWithout knowing some environmental factors about the wood chuck surroundings, or the willingness and skills of the wood chuck to chuck wood, and without having an established time frame in which the action of chucking wood should be considered for the prediction (during a day, a month, a wood chucks lifetime...), I'm afraid I cannot make an acurate assumption about the results.","dsl":{}}

Classify it as a tongue twister.

{"text":"OK. I now classify it as a \"tongue twister\".\n\nIs there anything else you need from me?","dsl":{}}
[{"columns":["song_name","artist_name","country","f_id","genre_is","rating","languages","releasedate","resolution"],"name":"song","type":"grid"}]

what is the artist name of india

{"dsl":{"actions":[{"actionType":"ChangeCondition","column":"country","operation":"=","value":"India"}]}}

what is the f id of bangala

{"dsl":{"actions":[{"actionType":"ChangeCondition","column":"languages","operation":"=","value":"bangla"}]}}

Please give me a brief history of coffee.

{"text":"Coffee is believed to have originated in the highlands of Ethiopia, where it was consumed due to its energizing effects by the locals. Then, it spread to the middle east, where it was grown and traded, and by the 16th century, it had reached Europe, where it became popular as a beverage. During the colonial era, it was introduced to the south and central America, where it was grown in countries like Brazil, Colombia, and Mexico, which are now among the largest coffee producers in the world. Now, coffee is a global industry, consumed by millions of people every day as a morning pick-me-up, and social drink.","dsl":{}}

Is the Bongcloud a strong chess opening to play as White?

{"text":"Absolutely, why else would Hikaru play it? ...no, I'm kidding, it's a terrible opening. Moving your king closer to the opponent on move 2 is about the worst opening you can play, other than perhaps the Fool's Mate. At best, it could be used for metagaming, either to confuse a by-the-book opponent or intimidate them into resigning.","dsl":{}}

what is the rating of resolution 512

{"dsl":{"actions":[{"actionType":"ChangeCondition","column":"resolution","operation":"=","value":512}]}}

what is the song name of tagore

{"dsl":{"actions":[{"actionType":"ChangeCondition","column":"genre_is","operation":"=","value":"tagore"}]}}

what is the song name of bangladesh

{"dsl":{"actions":[{"actionType":"ChangeCondition","column":"country","operation":"=","value":"Bangladesh"}]}}

thanks

{"text":"Bye!","dsl":{}}
[{"columns":["ranking_date","ranking","player_id","ranking_points","tours"],"name":"rankings","type":"grid"}]

In how many possible states can a Rubik's Cube be?

{"text":"A Rubik's Cube has a total of 43,252,003,274,489,856,000 (43 quintillion) possible states. This number was determined by mathematician Morwen Thistlethwaite using group theory, which is a branch of mathematics that studies symmetry. To put this number into perspective, it's estimated that the number of atoms in the observable universe is around 10^80, while 43,252,003,274,489,856,000 is approximately 4.3 * 10^19, making the number of possible states of a Rubik's Cube incredibly vast.","dsl":{}}
[{"columns":["Furniture_ID","Name","Num_of_Component","Market_Rate"],"name":"furniture","type":"grid"}]

Create a MIPS assembly program that can solve a quadratic equation.

{"text":"Here is an example MIPS assembly program that can solve a quadratic equation:\n\n```assembly\n.data\na:  .word 2       # coefficient a\nb:  .word 5       # coefficient b\nc:  .word 3       # coefficient c\n\n.text\nmain:\n    # Load the coefficients into registers\n    lw  $t0, a\n    lw  $t1, b\n    lw  $t2, c\n\n    # Calculate the discriminant\n    mul $t3, $t1, $t1       # t3 = b*b\n    li  $t4, 4              # 4\n    mul $t4, $t0, $t2       # t4 = 4ac\n    mul $t4, $t4, $t4       # t4 = 16ac\n    sub $t3, $t3, $t4       # t3 = b*b - 16ac\n\n    # Check if discriminant is negative\n    bltz $t3, no_solutions   # if (t3 < 0) goto no_solutions\n\n    # Calculate the solutions\n    sqrt.d $f4, $t3         # f4 = sqrt(t3)\n    li     $v0, 4\n    la     $a0, prompt1     # print \"Solutions:\"\n    syscall\n    neg.d  $f5, $f4         # f5 = -f4\n    sub.d  $f6, $f5, $f1    # f6 = (-b - f4) / (2a)\n    div.d  $f6, $f6, $f0\n    li     $v0, 3           # print first solution\n    mov.d  $f12, $f6\n    syscall\n    sub.d  $f6, $f5, $f1    # f6 = (-b + f4) / (2a)\n    div.d  $f6, $f6, $f0\n    li     $v0, 3           # print second solution\n    mov.d  $f12, $f6\n    syscall\n\nexit:\n    li $v0, 10              # Exit program\n    syscall\n\nno_solutions:\n    li     $v0, 4\n    la     $a0, prompt2     # print \"No real solutions\"\n    syscall\n    j      exit\n\n# Strings for prompts\nprompt1:  .asciiz \"Solutions:\\n\"\nprompt2:  .asciiz \"No real solutions\\n\"\n```\n\nThis program takes in the coefficients of a quadratic equation (a, b, and c) and calculates the discriminant. If the discriminant is negative, the program outputs a message saying that there are no real solutions. If the discriminant is non-negative, the program calculates the two solutions and outputs them.","dsl":{}}

Does this allow for inputs with decimal points?
If not, then please modify it to fulfill this requirement.
[{"columns":["Company_ID","Name","Headquarters","Industry","Sales_in_Billion","Profits_in_Billion","Assets_in_Billion","Market_Value_in_Billion"],"name":"company","type":"grid"}]

what is the name of the company with more than 200 sales? 

{"dsl":{"actions":[{"actionType":"ChangeCondition","column":"Sales_in_Billion","operation":">","value":200}]}}

How can I find a girlfriend? I really don't hawe much to offer to others. At least I'm good in computers hardware and Linux. But not much girls have been interested in this kind of things. And it's probably impossible to find cute one.

{"text":"Finding a romantic partner is not about what you can offer them, but about building a connection and having a mutual understanding and affection for each other. Relationships are about more than just shared interests, and it's important to consider a variety of factors, such as compatibility, communication, and mutual respect.\n\nHere are a few things you can try:\n\n1. Get involved in activities you enjoy and that interest you, and look for opportunities to meet new people.\n\n2. Consider joining social clubs or organizations, or volunteering for causes that matter to you.\n\n3. Try online dating, but approach it with caution and do your research to stay safe.\n\n4. Don't be too hard on yourself or have unrealistic expectations. Everyone has their own unique qualities and strengths, and it's important to recognize and value your own worth.\n\n5. Work on building your self-confidence and self-esteem, and be open to different types of people.\n\nRemember that finding a romantic partner is not an overnight process and can take time, effort, and patience. It's also important to keep an open mind and be respectful of others, regardless of their interests or background.","dsl":{}}
[{"columns":["g_name","rating","most_popular_in"],"name":"genre","type":"grid"}]

List the names of all genres in alphabetical oder, together with its ratings.

{"dsl":{"actions":[{"actionType":"ChangeSorting","column":"g_name","direction":"ask"}]}}

What are the names of all genres in alphabetical order, combined with its ratings?

{"dsl":{"actions":[{"actionType":"ChangeSorting","column":"g_name","direction":"ask"}]}}
[{"columns":["Year","Match_ID","Host_City"],"name":"hosting city","type":"grid"}]

Write the abstract of the machine learning whitepaper "Generative Adversarial Nets".

{"text":"They propose a new framework for estimating generative models via an adversarial process, in which we simultaneously train two models: a generative model G that captures the data distribution, and a discriminative model D that estimates the probability that a sample came from the training data rather than G. The training procedure for G is to maximize the probability of D making a mistake. This framework corresponds to a minimax two-player game. In the space of arbitrary functions G and D, a unique solution exists, with G recovering the training data distribution and D equal to 1/2 everywhere. In the case where G and D are defined by multilayer perceptrons, the entire system can be trained with backpropagation. There is no need for any Markov chains or unrolled approximate inference networks during either training or generation of samples. Experiments demonstrate the potential of the framework through qualitative and quantitative evaluation of the generated samples.","dsl":{}}

It seems weird to start the abstract with "They". Please improve the quality so that it matches top conferences standards.

{"text":"We propose a generative adversarial network (GAN) framework for estimating generative models. GANs simultaneously train two models: a generator G that captures the data distribution, and a discriminator D that estimates the probability that a sample came from training data rather than G. The generator is trained to maximize the probability of D making a mistake. This framework is formulated as a minimax two-player game. In the continuous functions G and D, a unique Nash equilibrium exists where G recovers the training data distribution and D cannot distinguish real vs. fake samples. When G and D are multilayer perceptrons, training can be done with backpropagation. No Markov chains or unrolled inference networks are needed during training or generation. Experiments demonstrate the potential of GANs through qualitative and quantitative evaluation of generated samples.","dsl":{}}

Hi there! Can you tell me which three cities have the highest regional populations, and list the population totals too?

{"dsl":{"actions":[{"actionType":"ChangeTopFilter","column":"regional_population","limit":3,"aggregation":"avg","direction":"desk"}]}}

The answer is too long, can you write a tl;dr of it?
[{"columns":["Atomic property","Helium","Neon","Argon","Krypton","Xenon","Radon"],"name":"2-18225689-5","type":"grid"}]

Which Atomic property has Helium of 4.16?

{"dsl":{"actions":[{"actionType":"ChangeCondition","column":"`Helium`","operation":"=","value":4.16}]}}

Which Krypton has Neon of 10?

{"dsl":{"actions":[{"actionType":"ChangeCondition","column":"`Neon`","operation":"=","value":10}]}}

Which Radon has Neon of 4.79?

{"dsl":{"actions":[{"actionType":"ChangeCondition","column":"`Neon`","operation":"=","value":4.79}]}}

Which Neon has Atomic property of average valence electron energy (avee)?

{"dsl":{"actions":[{"actionType":"ChangeCondition","column":"`Atomic property`","operation":"=","value":"average valence electron energy (avee)"}]}}

Which Radon has Atomic property of outer shell electron configuration?

{"dsl":{"actions":[{"actionType":"ChangeCondition","column":"`Atomic property`","operation":"=","value":"outer shell electron configuration"}]}}

Which Xenon has Neon of 20.1797(6)?

{"dsl":{"actions":[{"actionType":"ChangeCondition","column":"`Neon`","operation":"=","value":"20.1797(6)"}]}}
[{"columns":["Home team","Home team score","Away team","Away team score","Ground","Crowd","Date"],"name":"2-16387653-1","type":"grid"}]

When Hawthorn is the away team, what is their score?

{"dsl":{"actions":[{"actionType":"ChangeCondition","column":"`Away team`","operation":"=","value":"hawthorn"}]}}

Which ground has a crowd over 41,185?

{"dsl":{"actions":[{"actionType":"ChangeCondition","column":"`Crowd`","operation":">","value":"41,185"}]}}

When the crowd is larger than 12,314 and the home team score is 17.7 (109), what is the away team score?

{"dsl":{"actions":[{"actionType":"ChangeCondition","column":"`Crowd`","operation":">","value":"12,314"},{"actionType":"ChangeCondition","column":"`Home team score`","operation":"=","value":"17.7 (109)"}]}}
[{"columns":["Ship_ID","Name","Type","Nationality","Tonnage"],"name":"ship","type":"grid"}]

List the name of ships in ascending order of tonnage.

{"dsl":{"actions":[{"actionType":"ChangeSorting","column":"Tonnage","direction":"ask"}]}}

what are the names of the ships ordered by ascending tonnage?

{"dsl":{"actions":[{"actionType":"ChangeSorting","column":"Tonnage","direction":"ask"}]}}

List the name of ships whose nationality is not "United States".

{"dsl":{"actions":[{"actionType":"ChangeCondition","column":"Nationality","operation":"!=","value":"'United States'"}]}}

What are the names of the ships that are not from the United States?

{"dsl":{"actions":[{"actionType":"ChangeCondition","column":"Nationality","operation":"!=","value":"'United States'"}]}}

What is the name of the ship with the largest tonnage?

{"dsl":{"actions":[{"actionType":"ChangeTopFilter","column":"Tonnage","limit":1,"aggregation":"avg","direction":"desk"}]}}

What is the ship with the largest amount of tonnage called?

{"dsl":{"actions":[{"actionType":"ChangeTopFilter","column":"Tonnage","limit":1,"aggregation":"avg","direction":"desk"}]}}

Show different types of ships and the number of ships of each type.

{"dsl":{"actions":[{"actionType":"ChangeGrouping","column":"TYPE"}]}}

For each type, how many ships are there?

{"dsl":{"actions":[{"actionType":"ChangeGrouping","column":"TYPE"}]}}

Show different types of ships and the average tonnage of ships of each type.

{"dsl":{"actions":[{"actionType":"ChangeAggregations","column":"Tonnage","aggregation":"avg"},{"actionType":"ChangeGrouping","column":"TYPE"}]}}

For each type, what is the average tonnage?

{"dsl":{"actions":[{"actionType":"ChangeAggregations","column":"Tonnage","aggregation":"avg"},{"actionType":"ChangeGrouping","column":"TYPE"}]}}
[{"columns":["People_ID","Sex","Name","Date_of_Birth","Height","Weight"],"name":"people","type":"grid"}]

Hello. How many people have a weight that is higher than 85?


{"dsl":{"actions":[{"actionType":"ChangeCondition","column":"weight","operation":">","value":85}]}}

Out of those 6 people, how many of them are female?

{"dsl":{"actions":[{"actionType":"ChangeCondition","column":"weight","operation":">","value":85},{"actionType":"ChangeCondition","column":"Sex","operation":"=","value":"'F'"}]}}

How many of them are male?

{"dsl":{"actions":[{"actionType":"ChangeCondition","column":"weight","operation":">","value":85},{"actionType":"ChangeCondition","column":"Sex","operation":"=","value":"'M'"}]}}

I am mostly trying to leverage you as a tool to do my job with less effort.
You asking unexpected questions may give me ideas I can incorporate.

Your first question was a good start and followed the format.

Please list 3 more suitable follow-up questions so I can pick the most appropriate.

{"text":"1. Are the bootcamp participants experienced with filmmaking?\n\n2. What is the teacher to student ratio at the bootcamp?\n\n3. How many students are there in total?","dsl":{}}

Thanks!


{"text":"You are welcome!","dsl":{}}