US Congress Bill Analysis Using LLM as Judge

Kaggle data and notebooks associated with a project analyzing U.S. congressional bills. The project likely contains text from bills and scores or judgments generated by a large language model. The dataset's author, organization, and specific size are unknown.

Use Cases

• Benchmarking LLM performance on legislative text classification based on the project's scoring task.
• Training models for political ideology prediction based on bill text and LLM judgments.
• Analyzing patterns in congressional bill language using the provided LLM-derived scores.

Strengths

• Data is associated with a specific, defined project on congressional bill analysis.
• Includes notebooks, which may provide context and methodology for the LLM scoring process.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

kaggle

Collection Method

Likely involves scraping or collecting U.S. congressional bill text and processing it with an LLM.

Geography

United States