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Using Language Models to Simulate Human Samples: Appendix
11 Jun 2024
Explore the impact and challenges surrounding the adoption of datasheets for datasets.
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Using Language Models to Simulate Human Samples: Acknowledgments and References
11 Jun 2024
Explore the impact and challenges surrounding the adoption of datasheets for datasets.
![cover](https://hackernoon.imgix.net/images/datasheets-xwchqegllxv6tjjzdilbrmf3.png)
Datasheets for Datasets: Impact and Adoption Across Academic and Industry Sectors
11 Jun 2024
Explore the impact and challenges surrounding the adoption of datasheets for datasets.
![cover](https://hackernoon.imgix.net/images/datasheets-d29yb2zl4meu9ub32gvu9445.png)
Ensuring Dataset Health: Strategies for Effective Maintenance and Support
11 Jun 2024
Learn about strategies for maintaining and supporting datasets, including erratum management, updates, and data retention policies
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Guidelines for Sharing AI Datasets Responsibly
11 Jun 2024
Learn how to navigate intellectual property issues and ensure responsible data sharing.
![cover](https://hackernoon.imgix.net/images/datasheets-iqfvdovdo169lscwi31ix1xj.png)
Applications of ML Model Datasets
10 Jun 2024
Explore the wide array of tasks for which datasets can be utilized, along with potential risks and ethical considerations.
![cover](https://hackernoon.imgix.net/images/datasheets-dpqz860y3ppzpufcfi2yuhv1.png)
From Raw to Refined: Understanding Preprocessing, Cleaning, and Labeling in Data Preparation
10 Jun 2024
Learn about techniques like tokenization, part-of-speech tagging, and feature extraction, ensuring your dataset is optimized for various tasks.
![cover](https://hackernoon.imgix.net/images/datasheets-xb74hmmm2vf8kwjmtkrd4v8r.png)
Data Collection for ML Models: Strategies and Protocols for Ensuring Dataset Integrity
10 Jun 2024
Explore the intricate process of data collection: from acquisition methods to ethical considerations.
![cover](https://hackernoon.imgix.net/images/5wpKgV75aONqkTJlafw2yQmK9yd2-is83yag.png)
Understanding Dataset Instances and Relationships
10 Jun 2024
Explore the composition of datasets, including instances, labels, data splits, errors, external resources, and considerations for confidentiality & sensitivity