datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
policy-alignment-verification-dataset
Policy Alignment Verification Dataset
🌐 NAVI's Ecosystem 🌐
🌍 NAVI Platform – Dive into NAVI's full capabilities and explore how it ensures policy alignment and compliance.
🤗 NAVI-small-preview – Access the open-weights version of NAVI designed for policy verification.
📜 API Docs – Your starting point for integrating NAVI into your applications.
📝 Blogpost: Policy-Driven Safeguards Comparison – A deep dive into the challenges and solutions NAVI addresses.
✨… See the full description on the dataset page: https://huggingface.co/datasets/nace-ai/policy-alignment-verification-dataset.Open-Web-Math
Keiran Paster*, Marco Dos Santos*, Zhangir Azerbayev, Jimmy Ba
GitHub | ArXiv
| PDF
OpenWebMath is a dataset containing the majority of the high-quality, mathematical text from the internet. It is filtered and extracted from over 200B HTML files on Common Crawl down to a set of 6.3 million documents containing a total of 14.7B tokens. OpenWebMath is intended for use in pretraining and finetuning large language models.
You can download the dataset using Hugging Face:
from datasets import… See the full description on the dataset page: https://huggingface.co/datasets/Alignment-Lab-AI/Open-Web-Math.synthetic-bn-subseqoig-fixedExpert-Sudoku-100kformatted-ttest-datasetflan-embed-test2Lawyer-Instruct
Dataset Card for "Lawyer-Instruct"
Dataset Description
Dataset Summary
Lawyer-Instruct is a conversational dataset primarily in English, reformatted from the original LawyerChat dataset. It contains legal dialogue scenarios reshaped into an instruction, input, and expected output format. This reshaped dataset is ideal for supervised dialogue model training.
Dataset generated in part by dang/futures
Supported Tasks and Leaderboards… See the full description on the dataset page: https://huggingface.co/datasets/Alignment-Lab-AI/Lawyer-Instruct.llama-indexgpt4v-raw-chunksLmSys-pref-ft-splitSharegpt-sodaagentcodeCodeInterpreterData-sharegptPrompt-Injection-TestTHE-BLUEPRINT-FOR-AI-ALIGNMENTLawyer-chat
Dataset Description
Dataset Summary
LawyerChat is a multi-turn conversational dataset primarily in the English language, containing dialogues about legal scenarios. The conversations are in the format of an interaction between a client and a legal professional. The dataset is designed for training and evaluating models on conversational tasks like dialogue understanding, response generation, and more.
Supported Tasks and Leaderboards
dialogue-modeling: The… See the full description on the dataset page: https://huggingface.co/datasets/Alignment-Lab-AI/Lawyer-chat.prefdedupRPGuild-sharegpt-filteredStack-Exchange-Aprillibrispeech-codec-22khzembeddedflanclaudeopus-sharegptriddler-sharegptGutenDialogue2ttestv0.1StackStoreGutenDialoguealpaca-cot-collectionHuman-Preferences-Alignment-KTO-Dataset-AI-Services-Genuine-User-Reviews
Human Preferences Alignment KTO Dataset of AI Service User Reviews of ChatGPT Gemini Claude Perplexity
Introduction to Human Preferences Alignment
There are many methods of applying Human Preference Alignment techniques to help model align in the supervised finetuning stage, including RLHF Reinforcement Learning from Human Feedback(paper), PPO Proximal policy optimization(paper/equation), DPO Direct Preference Optimization (paper/equation), KTO Kahneman-Tversky… See the full description on the dataset page: https://huggingface.co/datasets/DeepNLP/Human-Preferences-Alignment-KTO-Dataset-AI-Services-Genuine-User-Reviews.