datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
helpsteer2_dpo_nonverboseHelperSteer 2, formatted in DPO format (prompt, chosen, rejected).
in main branch there is a custom scoring correct > helpful > -verbosity
in each branch we have preference pairs for only correct, helpful, verbosity, coherence, complexity
Please note that only correct and helpful has strong inter-rater agreement in the HelpSteer2 paper
This is the notebook used to produce the dataset… See the full description on the dataset page: https://huggingface.co/datasets/wassname/helpsteer2_dpo_nonverbose.ouroboros-trace-help
Trace Help — does an execution trace help a model answer questions about a run?
In one minute. Twelve small programs in six languages (Python, JavaScript, C,
C++, Go, Elixir). Each was run once with a fixed command. Five questions per
program ask what actually happened on that one run: how many times a function
was called, what a particular call returned, what it was called with, whether a
function ran at all, which function raised. Sixty questions in total.
Every record carries… See the full description on the dataset page: https://huggingface.co/datasets/digitable-lol/ouroboros-trace-help.HELPMed
Clinical knowledge in LLMs does not translate to human interactions
This repository contains the data for the paper 'Clinical knowledge in LLMs does not translate to human interactions'. The paper is available on ArXiv: https://arxiv.org/abs/2504.18919.
Scenarios
If you are interested in using the scenarios created in this paper for your own research, they can be found in the scenario files. The .jsonl file provides the complete texts of the scenarios separated into… See the full description on the dataset page: https://huggingface.co/datasets/ambean/HELPMed.helpsteer2-categorized-prompts
HelpSteer2 Categorized Prompts
Dataset Summary
A curated collection of 540 instruction prompts derived from nvidia/HelpSteer2 and several complementary open datasets, enriched with category labels for use in instruction-tuning, benchmark evaluation, and prompt engineering research.
Prompts are clean plain text, ready for direct use in fine-tuning pipelines, benchmarks, and prompt engineering workflows.
Categories
Category
Count
Description
BASIC… See the full description on the dataset page: https://huggingface.co/datasets/atekrugis/helpsteer2-categorized-prompts.AI-Helps-Finding-Best-Merging-LLMs
Dataset Card for AI Helps Finding Best Merging LLMs
Dataset Summary
AI Helps Finding Best Merging LLMs is a prompt-response comparison dataset created by manually submitting the same user-written evaluation template to multiple LLM applications and collecting their responses.
The creator and founder of WithIn Us Ai (Guy Edward DuGan II) known as gss1147 wrote a structured ranking template and fed it to each LLM individually in its own app environment. The… See the full description on the dataset page: https://huggingface.co/datasets/11-47/AI-Helps-Finding-Best-Merging-LLMs.neovim-helpChatML-HelpSteernvidia/HelpSteer in ChatML format, ready to use in HuggingFace TRL's SFT Trainer.
Python code used for conversion:
from datasets import load_dataset
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("Felladrin/Llama-160M-Chat-v1")
dataset = load_dataset("nvidia/HelpSteer", split="train")
def format(columns):
prompt = columns["prompt"].strip()
response = columns["response"].strip()
messages = [
{
"role": "user"… See the full description on the dataset page: https://huggingface.co/datasets/Felladrin/ChatML-HelpSteer.MamaBench
Dataset Card for MamaBench
Dataset Summary
MamaBench is a counterfactual clinical benchmark for evaluating the robustness of large language models on maternal and child health diagnostic reasoning. It consists of 217 counterfactual case pairs, each pairing an original clinical vignette with a systematically perturbed counterfactual variant, designed to test whether a model's diagnostic reasoning is sensitive to clinically meaningful changes rather than relying on… See the full description on the dataset page: https://huggingface.co/datasets/HelpMum-Personal/MamaBench.HelpSteer-hindihelpsteer3-tr
HelpSteer3-TR
NVIDIA HelpSteer3 veri setinin Türkçe çevirisidir. Bu veri seti, büyük dil modellerini (LLM) kullanıcı taleplerine daha yardımcı, tutarlı ve uyumlu hâle getirmek amacıyla tasarlanmıştır.
Veri Seti Özeti
Özellik
Değer
Toplam Örnek Sayısı
58.172
Dosya Boyutu
288 MB
Dil
Türkçe
Format
Parquet
Lisans
CC-BY-4.0
Kaynak
nvidia/HelpSteer3
Açıklama
HelpSteer3-TR, NVIDIA tarafından yayımlanan HelpSteer3 veri setinin kapsamlı bir… See the full description on the dataset page: https://huggingface.co/datasets/yusufbaykaloglu/helpsteer3-tr.mcp-pymilvus-code-generate-helper-test-dataset
Overview
This dataset is designed to generate Python code snippets for various functionalities related to Milvus.
The test_dataset.json currently contains 139 test cases. Each test case represents a query along with the corresponding documents that have been identified as providing sufficient information to answer that query.
Dataset Generation Steps
Query Generation
For each document, a set of queries is generated based on its length.
The current rule is to… See the full description on the dataset page: https://huggingface.co/datasets/brcarry/mcp-pymilvus-code-generate-helper-test-dataset.photo_helper