gpt-4o-mini
mlfoundations-dev_-_oh-dcft-v1.2_no-curation_gpt-4o-mini_wo_metamath-ggufmlfoundations-dev_-_oh-dcft-v1.2_no-curation_gpt-4o-mini_wo_unnatural_instructions-ggufbarc0_-_barc-llama3.1-8b-instruct-fft-transduction-gpt4omini10k_lr1e-5_epoch1_-ggufcutelemonlili_-_Qwen2.5-1.5B-Instruct_MATH_training_response_gpt-4o-mini_only_right-ggufbarc0_-_transduction-run7-20k-seed100-gpt4omini-instruct-fft_lr1e-5_epoch2-ggufmlfoundations-dev_-_llama3-1_8b_oh_dcft_v1_wo_camel_biology_gpt-4o-mini-ggufmlfoundations-dev_-_llama3-1_8b_oh_dcft_v1_wo_camel_chemistry_gpt-4o-mini-ggufbarc0_-_transduction-run6-20k-seed100-gpt4omini-instruct-fft_lr1e-5_epoch2-gguf
Taur_CoT_Analysis_Project___gpt-4o-mini-2024-07-18200k_HEAVY_gpt4o-description-gpt4omini-code_generated_problemsHere is the dataset of ~100k synthetic data generated by 162 seeds.
We generate the dataset with the following steps and two approaches:
Generate ~110k descriptions by GPT4o.
Approach 1: Generate ~110k codes follow each description by GPT4o-mini.
Approach 2: Generate ~110k codes follow each description by GPT4o-mini and suggest it to use specific library functions.
Run the ~220k codes and do auto-filtering.
Get the final ~200k legitimate ARC-like tasks with examples.
gpt-4o-miniairoboros_riddle_instructions_gpt-4o-miniGPQA_GPT-4o-mini
Features
id: Unique identifier for each problem
question: Original question text
options: List of 4 answer options, where first element is the correct answer
prompts: List of 1000 prompts with randomized option orders for each problem.
responses: List of 1000 model responses for each problem
correct_bools: List of 1000 boolean values indicating if each response was correct
split: Dataset split identifier ('diamond' or 'main')
REASONING_evalchemy_64_sharded_gpt-4o-mini
Dataset card for REASONING_evalchemy_64_sharded_gpt-4o-mini
This dataset was made with Curator.
Dataset details
A sample from the dataset:
{
"context": [
{
"content": "Generate an executable Python function generated from the given prompt. Return the function body without invoking it at the final solution.You are given a 0-indexed array nums of n integers and an integer target.\nYou are initially positioned at index 0. In one step, you can… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-dev/REASONING_evalchemy_64_sharded_gpt-4o-mini.