README.md

Dataset Card for "Scored-Summarization-datasets"

A collection of Text summarization datasets geared towards training a multi-purpose text summarizer.

Each dataset is a parquet file with the following features.

default

• text: a string feature. The source document
• summary: a string feature. The summary of the document
• provenance: a string feature. Information about the sub dataset.
• t5_text_token_count: a int64 feature. The number of tokens the text is encoded in.
• t5_summary_token_count : a int64 feature. The number of tokens the summary is encoded in.
• contriever_cos: a float64 feature. The Cosine Similarity of the Contriever text embedding and Contriever summary embedding.

Sub-datasets

• billsum
• cnn_dailymail/3.0.0
• multixscience
• newsroom
• samsum
• scitldr/AIC
• tldr-challenge
• wikihow
• xsum

Information about the Contriever model can be found here: https://github.com/facebookresearch/contriever.