datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Retrieval-Synthetic-NVDocs-v1
Dataset Description:
Retrieval-Synthetic-NVDocs-v1 is a synthetic retrieval dataset with question–answer supervision designed to train and evaluate embedding and RAG systems. The dataset was generated on top of NVIDIA's publicly available content using NeMo Data Designer, NVIDIA's open-source framework for generating high-quality synthetic data from scratch or based on seed data.
The dataset contains document chunks paired with semantically rich question-answer pairs across multiple… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Retrieval-Synthetic-NVDocs-v1.RLVR-Env-Retrieval-Source-Retrieval-Synthetic-NVDocs-v1
RLVR-Env-Retrieval-Source-Retrieval-Synthetic-NVDocs-v1
RLVR-ready retrieval environment derived from nvidia/Retrieval-Synthetic-NVDocs-v1.
Author: Aman Priyanshu
What Is This
A 100k-row retrieval QA dataset where each row contains a question, ground-truth chunks, and pre-mined distractor chunks (random + semantically similar). Designed for training and evaluating retrieval agents in an RLVR (Reinforcement Learning with Verifiable Rewards) setup — the agent searches… See the full description on the dataset page: https://huggingface.co/datasets/AmanPriyanshu/RLVR-Env-Retrieval-Source-Retrieval-Synthetic-NVDocs-v1.