Datasets:

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orionweller

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mmBERT-pretraining-data-chunk3

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This PR updates the dataset card for the mmBERT training data to better reflect its primary use cases and improve discoverability.

Key changes include:

• Metadata Update:
  • task_categories: Added feature-extraction to highlight the primary utility of models trained with this data for generating embeddings for downstream tasks. fill-mask is retained as it represents the pre-training objective.
  • language: Added mul (multilingual) to accurately reflect the dataset's extensive language coverage (over 1800 languages) and improve discoverability.
  • tags: Added text-classification and text-retrieval to further emphasize common applications of models trained on this dataset.
• Sample Usage Section: Added a comprehensive "Sample Usage" section with code snippets directly from the associated GitHub repository's README. These examples demonstrate how to install dependencies and use mmBERT models for tasks such as:
  • Generating multilingual embeddings (feature extraction)
  • Masked language modeling
  • Multilingual retrieval
  • Classification

These updates make the dataset card more informative and user-friendly for researchers and developers.