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DART is a large dataset for open-domain structured data record to text generation. DART consists of 82,191 examples across different domains with each input ...

This functions returns an array of sequences from the input text file and the corresponding output for each sequence encoded as a one-hot vector.

Text Generation converts natural language to natural language, such that the ... Dataset consists of 25,298 (data,text) pairs and 9,674 distinct data units.

31 мая 2024 г. · This tutorial demonstrates how to generate text using a character-based RNN. You will work with a dataset of Shakespeare's writing.

Generating text is the task of generating new text given another text. These models can, for example, fill in incomplete text or paraphrase.

See all 141 text generation datasets. Subtasks. Dialogue Generation · Data-to-Text Generation · Multi-Document Summarization · Story Generation · Story ...

The AxtarishNLG challenge consists in mapping data to text. The training data consists of Data/Text pairs where the data is a set of triples extracted from DBpedia ...

Our unsupervised dataset has 1.3M text and graph examples, respectively. With a human-annotated test set, we provide this new benchmark dataset for future ...

4 янв. 2021 г. · A dataset of 1.3 million content-sharing text and graphs for unsupervised graph-to-text generation. COLING2020