HelpSteer2

An open-source dataset designed for training high-performance reward models.

CommonProductOpenSourceOpen-source datasetReward model

HelpSteer2, released by NVIDIA, is an open-source dataset aimed at supporting the training of models that align towards being more helpful, factually accurate, coherent, and controllable in terms of response complexity and redundancy. Collaborated on with Scale AI, it achieved a remarkable 88.8% performance on RewardBench when used with the Llama 3 70B base model, making it one of the top-performing reward models as of June 12, 2024.

The HelpSteer2 dataset is primarily intended for developers and researchers who need to train and optimize conversational systems
reward models
and language models. It is particularly suitable for professionals who aim to enhance model performance on specific tasks
such as customer service automation
virtual assistants

Training a SteerLM regression reward model to improve the performance of conversational systems on specific tasks.
As part of a research project
analyzing and comparing the response quality of different models when handling multi-turn dialogues.
In the education sector
aiding students in understanding how machine learning techniques can be used to enhance language model responses.

Step 1: Visit the Hugging Face website and search for the HelpSteer2 dataset.
Step 2: Download the dataset and load it using appropriate tools or libraries.
Step 3: Based on your project requirements
select specific samples or attributes from the dataset for analysis.
Step 4: Train or optimize your language model using the dataset

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HelpSteer2 Visit Over Time

Monthly Visits

18200568

Bounce Rate

44.11%

Page per Visit

5.8

Visit Duration

00:05:46

HelpSteer2 Visit Trend

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HelpSteer2 Traffic Sources

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