This dataset is part of ConTEB (Context-aware Text Embedding Benchmark), designed for evaluating contextual embedding model capabilities. It stems from the widely used NarrativeQA dataset.
NarrativeQA (literature), consists of long documents, associated to existing sets of question-answer pairs. To build the corpus, we start from the pre-existing collection documents, extract the text, and chunk them (using LangChain's… See the full description on the dataset page:
https://huggingface.co/datasets/illuin-conteb/narrative-qa.
