datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
hermes-function-calling-v1
Hermes Function-Calling V1
This dataset is the compilation of structured output and function calling data used in the Hermes 2 Pro series of models.
This repository contains a structured output dataset with function-calling conversations, json-mode, agentic json-mode and structured extraction samples, designed to train LLM models in performing function calls and returning structured output based on natural language instructions. The dataset features various conversational… See the full description on the dataset page: https://huggingface.co/datasets/Maestro502/hermes-function-calling-v1.Pattern-Recognition
Pattern Completion Dataset
A 30 GB synthetic dataset of numeric sequence‑completion prompts and their next values, designed to teach large language models how to recognize and extrapolate patterns.
Each row contains a prompt (the sequence with a ? indicating the missing next element) and a completion (the correct next number).
Dataset Structure
Format: CSV (no header row)
Columns:
prompt – "Find the next number in the sequence: a,b,c,... ,?"
completion – the… See the full description on the dataset page: https://huggingface.co/datasets/Maestro502/Pattern-Recognition.NuminaMath-CoT
Dataset Card for NuminaMath CoT
Dataset Summary
Approximately 860k math problems, where each solution is formatted in a Chain of Thought (CoT) manner. The sources of the dataset range from Chinese high school math exercises to US and international mathematics olympiad competition problems. The data were primarily collected from online exam paper PDFs and mathematics discussion forums. The processing steps include (a) OCR from the original PDFs, (b) segmentation… See the full description on the dataset page: https://huggingface.co/datasets/Maestro502/NuminaMath-CoT.