Processed Parliamentary Text Corpus for the United States

En Corpora Parliament Processed is a text dataset containing processed parliamentary proceedings. The dataset was created by danieleV9H and last updated on Hugging Face in May 2022. Platform tags indicate it is a text modality dataset with a size between 1 million and 10 million entries, focused on the US region.

Use Cases

• Train language models on formal government text using the processed parliamentary speech content.
• Analyze discourse patterns and topic evolution within the parliamentary text corpus.
• Perform named entity recognition on mentions of legislators, bills, or government agencies within the proceedings.

Strengths

• Dataset size is indicated to be between 1 million and 10 million entries.
• Data is provided in Parquet format, suitable for efficient large-scale processing.

Limitations

• The specific source, time range, and exact row count of the parliamentary data are unknown.
• Lack of column descriptions or sample data prevents assessment of text structure and preprocessing quality.

Provenance

Source

null

Collection Method

null

Time Range

null

Freshness

Data was last updated on the platform in May 2022, indicating potential staleness for current analysis.

Geography

United States (inferred from platform tag 'Regionus')