U.S. Parliamentary Speech Corpus Processed for NLP

Over 1 million text records of parliamentary proceedings from the United States, processed for natural language processing tasks. The dataset was created by user 'jeree' and last updated on Hugging Face in January 2022.

Use Cases

• Train a text classifier to identify speech topics or speaker sentiment within parliamentary transcripts.
• Fine-tune a language model for summarization of lengthy legislative debates using the raw text content.
• Perform named entity recognition to extract mentions of people, organizations, and bills from the speech corpus.
• Analyze linguistic patterns and discourse structure across different sessions or speakers in the processed text.

Strengths

• Contains over 1 million text records, as indicated by the 'Size Categories1 Mn10 M' platform tag.
• Data is stored in Parquet format, which is efficient for storage and querying of large text datasets.

Limitations

• No column names or sample data are provided, making schema and content assessment difficult.
• The dataset's temporal coverage and specific source within the U.S. government are unknown.
• Last update was in early 2022, potentially limiting analysis of recent parliamentary activity.

Provenance

Source

Parliamentary proceedings from the United States (inferred from 'Regionus' platform tag).

Collection Method

Text processing and compilation for NLP use, uploaded by author 'jeree'.

Freshness

Last updated on 2022-01-28.

Geography

United States