Processed Parliamentary Speech Corpus from the United States

Cs Corpora Parliament Processed is a text corpus containing parliamentary or political speech data. The dataset was created by user 'nykodmar' and was last updated on Hugging Face in February 2022. Platform tags indicate it contains text data related to political speech from the US region.

Use Cases

• Train language models on political speech patterns using the text corpus.
• Analyze sentiment or topic trends within US parliamentary speech data.
• Benchmark text classification models for identifying speech types or speaker attributes.
• Extract named entities like politicians, locations, or organizations from speech transcripts.

Strengths

• Dataset is categorized with a size of 100K<n<1M entries based on platform tags.
• Data is provided in Parquet format, suitable for efficient processing with libraries like Polars and Pandas.

Limitations

• The exact number of rows, columns, and specific data fields are unknown.
• The dataset's temporal coverage and specific geographic scope within the US are not detailed.
• Data is from 2022 or earlier, which may limit analysis of recent political discourse.

Provenance

Source

nykodmar on Hugging Face.

Collection Method

Presumably processed from original parliamentary text sources; exact method is unknown.

Freshness

Last updated on 2022-02-21.

Geography

United States (inferred from platform 'Regionus' tag).