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
: astring
feature. Thesource
documentsummary
: astring
feature. The summary of the documentprovenance
: astring
feature. Information about the sub dataset.t5_text_token_count
: aint64
feature. The number of tokens the text is encoded in.t5_summary_token_count
: aint64
feature. The number of tokens the summary is encoded in.contriever_cos
: afloat64
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.