datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
sudoku-extreme
Hardest Sudoku Puzzle Dataset V2
This dataset contains a mixture of easy and very hard Sudoku puzzles collected from the Sudoku community.
Dataset Composition
Sources
tdoku benchmarks
enjoysudoku
Easy Puzzles (1.1M)
puzzles0_kaggle
puzzles1_unbiased
puzzles2_17_clue
Hard Puzzles (3.1M)
puzzles3_magictour_top1465
puzzles4_forum_hardest_1905
puzzles6_forum_hardest_1106
ph_2010/01_file1.txt
Dataset Characteristics
All… See the full description on the dataset page: https://huggingface.co/datasets/sapientinc/sudoku-extreme.function_calling_extended
Trelis Function Calling Dataset
UPDATE: As of Dec 5th 2023, there is a v3 of this dataset now available from here.
Allows models to be fine-tuned for function-calling.
The dataset is human generated and does not make use of Llama 2 or OpenAI!
Contains 59 training and 17 test rows
Based on eight functions: search_bing, search_arxiv, save_chat, read_json_file, list_files, get_current_weather, delete_file, clear_chat
Access this dataset by purchasing a license HERE.
Alternatively… See the full description on the dataset page: https://huggingface.co/datasets/Trelis/function_calling_extended.APEX-v1-extended
APEX-v1-extended
The AI Productivity Index (APEX) is a benchmark from Mercor for assessing whether frontier models are capable of performing economically valuable tasks across four jobs: investment banking associate, management consultant, big law associate, and primary care physician (MD).
APEX-v1-extended doubles the heldout evaluation set from n=200 to n=400, with increased complexity and variety. On average, tasks take over two-and-a-half hours for seasoned professionals to… See the full description on the dataset page: https://huggingface.co/datasets/mercor/APEX-v1-extended.guanaco-extended
Hugging Face Dataset Card: Amoeba Mixed AI-Human Generated Samples
Overview
Amoeba Mixed AI-Human Generated Samples is a massive dataset that contains a diverse collection of text samples generated by both AI models and human authors. With a size exceeding 13 GB, this dataset is designed to foster research and development in the field of natural language generation and understanding.
Intended Use
The Amoeba Mixed AI-Human Generated Samples dataset is… See the full description on the dataset page: https://huggingface.co/datasets/FinchResearch/guanaco-extended.gpqa-extended_trThis dataset is the Turkish translation of GPQA dataset(extended), which is one of the most-known benchmarks to evaluate LLMs performance on graduate level science questions.
You can find the paper of GPQA below.
https://arxiv.org/abs/2311.12022
Translation Methodology:
A subset of the columns of every row translated seperately using "google/gemma-3-27b-it" which has a good capacity for both the languages English and Turkish and performed good in scientific translation.
The following prompt… See the full description on the dataset page: https://huggingface.co/datasets/ytu-ce-cosmos/gpqa-extended_tr.Drug_Combination_Extractionsudoku-extreme
Hardest Sudoku Puzzle Dataset V2
This dataset contains a mixture of easy and very hard Sudoku puzzles collected from the Sudoku community.
Dataset Composition
Sources
tdoku benchmarks
enjoysudoku
Easy Puzzles (1.1M)
puzzles0_kaggle
puzzles1_unbiased
puzzles2_17_clue
Hard Puzzles (3.1M)
puzzles3_magictour_top1465
puzzles4_forum_hardest_1905
puzzles6_forum_hardest_1106
ph_2010/01_file1.txt
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/billyjack/sudoku-extreme.questions
Dataset Card for Dataset Name
Questions for RAG analysis for final agents course unit
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]… See the full description on the dataset page: https://huggingface.co/datasets/ExtarLearn/questions.diverse-bash-dataset-extended
Bash diverse dataset extended
This dataset is a continious work from datasetter458/bash-diverse-dataset
Commands covered: bash, apt, crontab, date, diff, docker, env, export, fdisk, file, fsck, gcc, git, history, join, kubectl, lsof, man, makefs, mount, nice, node, nohup, npm,
passwd, paste, patch, pkill, python, renice, split, ss, time, umount, uname, uniq, vi, whereis, which
Note : For each command, a big amount of Q&As, and each set of them covers pretty much all the flags for… See the full description on the dataset page: https://huggingface.co/datasets/datasetter458/diverse-bash-dataset-extended.