Corefud-1-4: Coreference Resolution Dataset for Multilingual Benchmarking

A standardized and reformatted version of the corefud-1-4 coreference resolution dataset. The repository provides a unified document structure across multiple coreference datasets to simplify cross-dataset comparison and multilingual experimentation. It was created by lattice-nlp and last updated on June 11, 2026.

Use Cases

• Benchmarking coreference resolution systems based on the standardized evaluation setting
• Conducting multilingual NLP experiments based on the unified document structure
• Enhancing interoperability between NLP pipelines based on the reformatted data
• Performing cross-dataset comparison of coreference models based on the consistent format.

Strengths

• Provides a unified document structure for cross-dataset comparison
• Last updated on 2026-06-11, indicating recent maintenance

Limitations

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

Provenance

Source

Original corefud-1-4 dataset, reformatted by lattice-nlp

Collection Method

Standardized reformatting of an existing dataset

Freshness

Last updated 2026-06-11 15:22:30