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Natural Questions is a large-scale machine learning research dataset designed for training and evaluating open-domain question answering systems. It consists of a corpus of real search queries paired with human-annotated Wikipedia document spans, providing a standardized foundation for advancing automated information retrieval and comprehension technologies. The project distinguishes itself by providing high-quality ground truth data that supports multiple answer formats, including binary, short-form, and long-form responses. By incorporating extractive span annotations and structured documen
This is a large-scale collection of curated Chinese text corpora designed for training natural language processing models. The project provides a variety of datasets, including a deduplicated archive of millions of news articles with titles and keywords, high-quality categorized question-and-answer pairs, and parallel translation corpora. The collection includes millions of aligned Chinese and English sentence pairs used for cross-lingual model training and machine translation development. It also contains filtered question-and-answer data organized by label for the construction of knowledge-
This repository contains the NarrativeQA dataset. It includes the list of documents with Wikipedia summaries, links to full stories, and questions and answers.
The main features of deepmind/narrativeqa are: Natural Language Processing, Question Answering Datasets.
Projects with overlapping indexed features include: google-research-datasets/natural-questions — Natural Questions is a large-scale machine learning research dataset designed for training and evaluating open-domain… brightmart/nlp_chinese_corpus — This is a large-scale collection of curated Chinese text corpora designed for training natural language processing… 7compass/sentimental — Simple sentiment analysis with Ruby. abadojack/whatlanggo — Natural language detection library for Go. abitdodgy/gibran — Gibran is an Elixir natural language processor, and a port of WordsCounted. a2800276/porter — porter stemmer.
