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01wassname /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.texttext-classification10K<n<100K0 likes212 downloads2y agoHugging Face02atekrugis /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.texttext-generationn<1K0 likes76 downloads5mo agoHugging Face03Felladrin /ChatML-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.tabularquestion-answering10K<n<100K0 likes36 downloads3y agoHugging Face04SherryT997 /HelpSteer-hinditexttext-classification1K<n<10K1 likes27 downloads3y agoHugging Face05yusufbaykaloglu /helpsteer3-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.textquestion-answering10K<n<100K1 likes17 downloads9mo agoHugging Face

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