narrativeqa
narrativeqa
Dataset Card for Narrative QA
Dataset Summary
NarrativeQA is an English-lanaguage dataset of stories and corresponding questions designed to test reading comprehension, especially on long documents.
Supported Tasks and Leaderboards
The dataset is used to test reading comprehension. There are 2 tasks proposed in the paper: "summaries only" and "stories only", depending on whether the human-generated summary or the full story text is used to answer the question.… See the full description on the dataset page: https://huggingface.co/datasets/deepmind/narrativeqa.narrative-qa
ConTEB - NarrativeQA
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.
Dataset Summary
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.narrativeqaThis is an adapted text-only version of the orginal DeepMind NarrativeQA dataset. Original Dataset : LINK
narrativeqa-test-tts
Dataset Card for "narrativeqa-test-tts"
More Information needed
muld_NarrativeQA
Dataset Card for "muld_NarrativeQA"
More Information needed
narrativeqa-rag
NarrativeQA RAG
Dataset for Retrieval-Augmented Generation (RAG) based on NarrativeQA.
Structure
Subset
Splits
Description
corpus
train (default)
Wikipedia plot summaries shared across all query splits
queries
train, dev, test
Reading comprehension questions
qrels
train, dev, test
Relevance judgments (query ↔ document)
answers
train, dev, test
Reference answers (longest annotated answer)
Dataset statistics
Split
Queries… See the full description on the dataset page: https://huggingface.co/datasets/DinoStackAI/narrativeqa-rag.