Sign in to view source links and access this dataset
Description
Legal Reranker With Negatives.Jsonl is a dataset for training or evaluating ranking models in the legal domain, likely containing text pairs with relevance labels. It was published by author CATI-AI on the Hugging Face platform and was last updated on November 13, 2025. The specific content, scale, and structure require verification after download.
Use Cases
Fine-tune a transformer model for legal document retrieval (inferred from domain, verify after download)
Benchmark the performance of a reranker on legal query-passage pairs (inferred from domain, verify after download)
Generate hard negative examples for contrastive learning in legal NLP (inferred from domain, verify after download)
Strengths
Published on the Hugging Face platform, a major hub for AI datasets.
Last updated on 2025 11 13, indicating recent maintenance.
Limitations
Metadata is minimal; actual content requires verification after download.
Row count, column definitions, and file formats are unknown, limiting suitability assessment.
Data may reflect bias inherent to its unspecified source and collection method.