qa pairs
QA pairs (Question-Answer pairs) are commonly used in training models for tasks like question answering and dialogue systems. They consist of a question and its corresponding answer, serving as training data to help models learn relationships between queries and responses.
- AVerImaTeC: A Dataset for Automatic Verification of Image-Text Claims with Evidence from the Web
- CAPability: A Comprehensive Visual Caption Benchmark for Evaluating Both Correctness and Thoroughness
- Can Large Multimodal Models Understand Agricultural Scenes? Benchmarking with AgroMind
- EOC-Bench: Can MLLMs Identify, Recall, and Forecast Objects in an Egocentric World?
- TimE: A Multi-level Benchmark for Temporal Reasoning of LLMs in Real-World Scenarios