U.S. Parliamentary Speech Corpus Processed for NLP

Sv Corpora Parliament Processed is a text dataset containing parliamentary speech data, processed for natural language processing tasks. The dataset was created by user 'birgermoell' and uploaded to Hugging Face in January 2022. Platform tags indicate the dataset contains between 1 million and 10 million entries and is associated with the US region.

Use Cases

• Train language models on formal political speech patterns using the processed text content.
• Analyze sentiment or topic trends within parliamentary proceedings over time.
• Develop named entity recognition models to identify politicians, parties, and legislation mentioned in speeches.
• Study linguistic features and rhetorical devices specific to government debates.

Strengths

• Dataset size is categorized as between 1 million and 10 million entries, providing a substantial text corpus.
• Data is stored in Parquet format, which is efficient for columnar storage and querying.

Limitations

• No column names, sample data, or specific row count is provided, making data structure assessment impossible.
• The last update was in January 2022, so the data may not reflect recent parliamentary sessions.
• Geographic coverage is inferred only from a platform tag ('Regionus'), lacking official documentation.

Provenance

Source

birgermoell on Hugging Face; original parliamentary source is unspecified.

Collection Method

Data appears to be processed from raw parliamentary transcripts, but the exact gathering and cleaning methodology is unknown.

Freshness

Last updated on 2022-01-17.

Geography

Platform tags suggest a primary focus on the United States ('Regionus').