Natural Language Processing
Processing and understanding text? Evaluate your models on language understanding, generation, translation, and information extraction benchmarks.
Tasks in Natural Language Processing
Language Modeling
Predicting the next word or token in a sequence. Core task for GPT-style models.
Machine Translation
Translating text from one language to another (WMT benchmarks).
Question Answering
Answering questions based on context (SQuAD, Natural Questions).
Text Classification
Categorizing text into predefined classes (sentiment, topic).
Named Entity Recognition
Identifying and classifying named entities in text (CoNLL).
Text Summarization
Generating concise summaries of longer documents (CNN/DailyMail, XSum).
Natural Language Inference
Determining entailment relationships between sentences (SNLI, MNLI).
Semantic Textual Similarity
Measuring similarity between text pairs (STS Benchmark).
Reading Comprehension
Understanding and answering questions about passages.
Explore Other Areas
Computer Vision
Building systems that understand images and video? Find benchmarks for recognition, detection, segmentation, and document analysis tasks.
Reasoning
Testing if your model can think logically? Benchmark math problem solving, commonsense understanding, and multi-step reasoning capabilities.
Computer Code
Developing AI coding assistants? Test code generation, completion, translation, bug detection, and repair capabilities.
Speech
Working with voice and audio? Evaluate speech-to-text accuracy, voice synthesis quality, and speaker identification performance.