README.md

metadata

license: apache-2.0
language:
  - ur
pretty_name: Urdu NLP
size_categories:
  - 1M<n<10M
task_categories:
  - text-classification
tags:
  - art

YAML Frontmatter - Required Metadata

Hugging Face Hub metadata

See https://huggingface.co/docs/hub/dataset-cards#metadata

language: ur # ISO 639-1 code for Urdu language_creators: # How was the data created? Add one or more from: 'researchers', 'end-users', 'machine-generated', 'other' - other # Specify how in the description language_models: [] # If this dataset was used to train specific models, list them here. multilinguality: monolingual # Is it only Urdu? Add: 'monolingual', 'multilingual', 'translation', 'other' pretty_name: Urdu Plain Text Corpus (10 Files) # A user-friendly name for the dataset size_categories: # Approx size. Add one or more from: 'n<1M', '1M<n<10M', '10M<n<100M', '100M<n<1B', '1B<n<10B', '10B<n<100B', '100B<n<1T', 'n>1T' - [CHOOSE ONE BASED ON YOUR DATA SIZE] # e.g., '10M<n<100M' if it has between 10 and 100 million items/tokens/bytes source_datasets: [] # If this dataset was derived from other public datasets, list them here. task_categories: # What tasks can this data be used for? Add one or more from the available task IDs on the Hub - language-modeling # Suitable for training language models - text-generation # Can be used for generating text - other # Add others as applicable, e.g., text-classification base data task_ids: # More specific task IDs - causal-language-modeling - masked-language-modeling # Add others as applicable based on task_categories, e.g., 'sequence-classification' base data annotations_creators: [] # No annotations if it's just plain text annotations_process: [] # No annotations process annotations_scope: [] # No annotations scope configs: [] # Not usually needed for a simple plain text dataset structure dataset_info: features: - name: text dtype: string

Urdu Plain Text Corpus (10 Files)