text summarization dataset - Axtarish в Google
The How2 dataset contains 13,500 videos, or 300 hours of speech, and is split into 185,187 training, 2022 development (dev), and 2361 test utterances.
Dataset contains article and summary pairs extracted and constructed from an online knowledge base written by different human authors.
XL-Sum is a comprehensive and diverse dataset for abstractive summarization comprising 1 million professionally annotated article-summary pairs from BBC, ...
For this task, we are going to use the SamSum Dataset, which contains three csv files for training, testing, and validation. All these files are structured ...
The How2 dataset contains 13,500 videos, or 300 hours of speech, and is split into 185,187 training, 2022 development (dev), and 2361 test utterances.
Pn-summary is a dataset for Persian abstractive text summarization. A well-structured summarization dataset for the Persian language consists of 93,207 records ...
Dataset for summarization of long documents. Adapted from this repo. Note that original data are pre-tokenized so this dataset returns " ".join(text) and add " ...
Abstractive text summarization summarizes the text maintaining coherent information in a similar amount of words as human generated summary.
The dataset contains online news articles (781 tokens on average) paired with multi-sentence summaries (3.75 sentences or 56 tokens on average). The processed ...
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