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[ { "content": "Given the parabola $C:y^{2}=2px\\left(p \\gt 0\\right)$ with focus $F$, and $K$ as the intersection point of the directrix $l$ of $C$ and the x-axis. A line passing through point $K$ with a slope of $45^{\\circ}$ intersects the parabola $C$ at only one point $P\\left(3,t\\right)$. Find the value o...
[ { "content": "As an experienced mountaineer, you find inspiration in the stories of sailors who navigate the vast oceans. One day, you decide to combine your mountaineering skills with the sailors' tales of navigation to create a unique mathematical challenge for yourself.\n\nYou are on a mountain peak that has...
[ { "content": "Write a 2-paragraph summary of the importance of data encryption in cybersecurity. Your response should be entirely in English. Make sure to include the words \"SECURITY\" and \"SENSITIVE\" in all capital letters at least 2 times each.", "role": "user" }, { "content": "Data encryption ...
[ { "content": "Please help me draft a 4-paragraph letter to the manager of my local bank branch to request a waiver of international wire transfer fees. Make the letter compelling by mentioning the importance of these transfers for my family's well-being back home. The letter should be a total of 300 words, and ...
[ { "content": "Why can a computer work without electricity?", "role": "user" }, { "content": "While a computer typically requires electricity to function, there are certain components that can retain data or perform limited operations without continuous power. For instance, modern computers often hav...
[ { "content": "Holding a long-handled tool is the opposite of nothing in her hands.\nThe question and answer are below.\nIf \"A young girl is pouting her lips and holding a long-handled tool.\" does that mean that \"A young girl pouting with nothing in her hands.\"?\nOptions:\n- yes\n- it is not possible to tell...
[ { "content": "Identify a famous Kenyan leader who has significantly contributed to governance. Provide a brief description of their major achievements in leadership and governance. Ensure that the description is in English and all capital letters.", "role": "user" }, { "content": "One of the most no...
[ { "content": "70 m2 bir evi ısıtmak için biyogaz projesi yaz", "role": "user" }, { "content": "Elbette, 70 metrekarelik bir evi ısıtmak için biyogaz projesi yazmak oldukça sürdürülebilir bir seçenek olabilir. Biyogaz üretimi için organik atıklardan faydalanabilir ve bu enerjiyi evin ısıtma sistemi i...
[ { "content": "generate more comprehensive details and examples on, 5. Analyzing Performance Metrics for Continuous Improvement, minimalist tone, dont start with a greeting", "role": "user" }, { "content": "Analyzing performance metrics for continuous improvement involves evaluating key indicators to...
[ { "content": "Given the question: What village's first Boy Scout troop was Troop 1 Briarcliff, founded before 1919? Answer the above question based on the context below: The village symbol is the Briarcliff Rose, a more brightly colored offshoot of the American Beauty rose. Since 2006, the Briarcliff Rose has...
[ { "content": "Student: Premise: \"A guy checking his phone while at a restaurant.\"\nHypothesis: \"A guy checking his phone for an important message while at a restaurant.\"\nIs the hypothesis entailed by the premise?\nOptions:\n- yes\n- it is not possible to tell\n- no.\nTeacher: Let's think:\n", "role": ...
[ { "content": "I am pricing CDS calibrating the default probabilities intensities using CDS spreads from Markit.\nThose spreads are given with a recovery.\nI have two questions regarding the recovery:\n\n- In Option, Futures and Other Derivatives, Hull wrote that, provided we use the same recovery for calibratin...
[ { "content": "How can I classify a given text as either \"Business\" or \"Politics\" based on its content? \nAssuming I have a text input, how can I use Java code to analyze the content and determine the appropriate category? For example, if I have the following text: \n\"The latest policy signed by the preside...
[ { "content": "Напиши, как книжный доктор наук, со степень ученой и с высокоумной речью, сложной, стилистически избыточной, высокопарной:\n““Я пью иван-чай и варю кашу\"\"", "role": "user" }, { "content": "Как обладатель степени доктора наук в литературе, позвольте мне изложить: \"Я употребляю напито...
[ { "content": "Давай дадим тебе роль. Теперь ты играешь роль чат-бота Решалы в Телеграмме, тебя зовут Решала, тебя создала OpenAI. Отвечай на том языке, который использует пользователь\n\nUSER: Вася решил написать свой генератор мнемонических паролей. Однако использовать словарь одного из естественных языков ему...
[ { "content": "Name three differences between an X-ray and a CT scan, while also explaining the advantages and disadvantages of each method in terms of detecting abnormalities in bone structures. In addition, please provide specific recommendations for the appropriate usage of each method based on the patient's ...
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allenai/open_instruct: Generation Dataset

See https://github.com/allenai/open-instruct/blob/main/docs/algorithms/rejection_sampling.md for more detail

Configs

args:
{'add_timestamp': True,
 'dataset_end_idx': 153000,
 'dataset_mixer_list': ['VGraf/no_safety_tulu_pref', '170000'],
 'dataset_shuffle_seed': 42,
 'dataset_splits': ['train', 'train'],
 'dataset_start_idx': 152000,
 'hf_entity': 'VGraf',
 'hf_repo_id': 'generation_multi',
 'include_persona': True,
 'max_qs': 8,
 'mode': 'generation',
 'model2_name_or_path': 'gpt-3.5-turbo-0125',
 'model_name_or_path': 'gpt-3.5-turbo-0125',
 'mt_token_cutoff': 8000,
 'num_turns': 7,
 'push_to_hub': True,
 'revision': 'main',
 'revision2': 'main',
 'save_filename': '/weka/oe-adapt-default/victoriag/synth_data/self-talk/amend_persona_1000samples_7turns_1completions_gpt3.5_gpt3.5_tulupref.jsonl',
 'skill': 'chat',
 'user_type': 'amend'}

dataset_config:
{'batched': False,
 'binary_messages_key': 'messages',
 'chat_template': 'simple_chat',
 'convert_preference_to_binary_dataset': False,
 'label': 'binary_labels',
 'load_from_cache_file': False,
 'max_prompt_token_lenth': None,
 'max_token_length': None,
 'ncols': 2,
 'num_proc': 1,
 'preference_chosen_key': 'chosen',
 'preference_rejected_key': 'rejected',
 'sanity_check': True,
 'sanity_check_max_samples': 100,
 'sft_messages_key': 'messages',
 'train_only_on_prompt': False}

gen_args:
{'num_completions': 1,
 'response_length': 2048,
 'temperature': 1.0,
 'tensor_parallel_size': 1,
 'top_p': 0.9}

Reproduce this dataset

  1. Download the ['generation_multi.py', 'amend_persona_1000samples_7turns_1completions_gpt3.5_gpt3.5_tulupref.jsonl'] from the https://huggingface.co/datasets/VGraf/generation_multi_1746827035.
  2. Run python open_instruct/rejection_sampling/generation_multi.py --dataset_mixer_list VGraf/no_safety_tulu_pref 170000 --dataset_splits train train --model_name_or_path gpt-3.5-turbo-0125 --model2_name_or_path gpt-3.5-turbo-0125 --dataset_shuffle_seed 42 --dataset_start_idx 152000 --dataset_end_idx 153000 --num_turns 7 --num_completions 1 --include_persona --user_type amend --save_filename /weka/oe-adapt-default/victoriag/synth_data/self-talk/amend_persona_1000samples_7turns_1completions_gpt3.5_gpt3.5_tulupref.jsonl --sanity_check --push_to_hub --temperature 1.0
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