NEW DATASET: 
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NEW DATASET: 
https://huggingface.co/datasets/vanta-research/human-ai-collaboration-2
vanta-research/human-ai-collaboration-2
dataset
resource
https://huggingface.co/datasets/vanta-research/human-ai-collaboration-2
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We're excited to release our human-ai-collaboration-2 dataset, which is an expansion of our previous release, 
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We're excited to release our human-ai-collaboration-2 dataset, which is an expansion of our previous release, 
https://huggingface.co/datasets/vanta-research/human-ai-collaboration-1
vanta-research/human-ai-collaboration-1
dataset
resource
https://huggingface.co/datasets/vanta-research/human-ai-collaboration-1
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This dataset contains 6,324 high quality examples demonstrating human-AI collaboration through conversational interaction. Additionally, the dataset contains <think>  to teach the model proper internal reasoning prior to returning its final response. 
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This dataset contains 6,324 high quality examples demonstrating human-AI collaboration through conversational interaction. Additionally, the dataset contains <think>  to teach the model proper internal reasoning prior to returning its final response. 
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This data was synthetically generated from a small sequence of curated seed examples. After the seeds are expanded by the generator, they are filtered by a critic model, and then again filtered by a human before being imported into the final dataset. 
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This data was synthetically generated from a small sequence of curated seed examples. After the seeds are expanded by the generator, they are filtered by a critic model, and then again filtered by a human before being imported into the final dataset. 
NEW DATASET: https://huggingface.co/datasets/vanta-research/human-ai-collaboration-2

We're excited to release our human-ai-collaboration-2 dataset, which is an expansion of our previous release, https://huggingface.co/datasets/vanta-research/human-ai-collaboration-1. 

This dataset contains 6,324 high quality examples demonstrating human-AI collaboration through conversational interaction. Additionally, the dataset contains <think>  to teach the model proper internal reasoning prior to returning its final response. 

This data was synthetically generated from a small sequence of curated seed examples. After the seeds are expanded by the generator, they are filtered by a critic model, and then again filtered by a human before being imported into the final dataset. 
👍
John6666