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We have organized and preprocessed the most commonly used public evaluation datasets and corpora in current RAG research, and have released them synchronously on ModelScope and Huggingface. Users can download and use them directly without additional cleaning or conversion, seamlessly interfacing with UltraRAG’s evaluation pipeline.

Benchmark

The following table summarizes the currently supported task types and statistical information of corresponding datasets: Data Format Specification To ensure full compatibility with UltraRAG modules, it is recommended that users store test data uniformly as .jsonl files and follow the format specifications below. Non-multiple-choice data format:
Multiple-choice data format:

Corpus

UltraRAG provides multi-source, high-quality standardized corpora, covering both text and image modalities, facilitating the construction of multi-scenario RAG systems. The following is statistical information on currently collected corpora: Data Format Specification Text corpus format:
Image corpus format: