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Subsets and Splits
SQL Console for Murtazali/dargwa-monocorpus
Filters Russian language texts to find high-quality sentences with specific linguistic patterns, useful for training language models on clean, properly formatted text data.
Filtered Text Data from Zamana
Filters Russian language text data to find high-quality sentences with specific linguistic constraints, revealing patterns in well-formed natural language text suitable for training language models.
SQL Console for Murtazali/dargwa-monocorpus
Calculates the frequency and percentage of specific Russian letters in the dataset, revealing character usage patterns that could be insightful for linguistic analysis.
Dargwa Letter Frequency Final
This query calculates the frequency and percentage of specific Cyrillic letters and their variations in the text, providing insights into the distribution of these characters.
SQL Console for Murtazali/dargwa-monocorpus
Provides the frequency and percentage of specific Cyrillic letters in the text, revealing patterns in character usage that can be insightful for linguistic analysis.
Filtered Train Text Data
Filters and retrieves text samples with specific word count range (3-17 words) and source, providing useful data cleaning and sampling for natural language processing tasks.
Filter Text by Length and Source
Filters training data to find texts with 3-17 words that contain no digits and come from a specific source, which could help identify clean, appropriately sized text samples for language modeling tasks.
Filtered Text by Source
Retrieves specific text entries containing a particular source identifier, which is basic filtering rather than meaningful analysis.
Filter Train Data by Source
Retrieves specific records filtered by a source name pattern, providing basic data access but offering limited analytical insight into the dataset's broader patterns or relationships.