| # Controlled Text Reduction | |
| This dataset contains Controlled Text Reduction triplets - document-summary pairs, and the spans in the document that cover the summary. | |
| The task input is consists of a document with pre-selected spans in it ("highlights"). The output is a text covering all and only the highlighted content. | |
| The script downloads the data from the original [GitHub repository](https://github.com/lovodkin93/Controlled_Text_Reduction). | |
| ### Format | |
| The dataset contains the following important features: | |
| * `doc_text` - the input text. | |
| * `summary_text` - the output text. | |
| * `highlight_spans` - the spans in the input text (the doc_text) that lead to the output text (the summary_text). | |
| ```json | |
| {'doc_text': 'The motion picture industry\'s most coveted award...with 32.', | |
| 'summary_text': 'The Oscar, created 60 years ago by MGM...awarded person (32).', | |
| 'highlight_spans':'[[0, 48], [50, 55], [57, 81], [184, 247], ..., [953, 975], [1033, 1081]]'} | |
| ``` | |
| where for each document-summary pair, we save the spans in the input document that lead to the summary. | |
| Notice that the dataset consists of two subsets: | |
| 1. `DUC-2001-2002` - which is further divided into 3 splits (train, validation and test). | |
| 2. `CNN-DM` - which has a single split. | |
| Citation | |
| ======== | |
| If you find the Controlled Text Reduction dataset useful in your research, please cite the following paper: | |
| ``` | |
| @misc{https://doi.org/10.48550/arxiv.2210.13449, | |
| doi = {10.48550/ARXIV.2210.13449}, | |
| url = {https://arxiv.org/abs/2210.13449}, | |
| author = {Slobodkin, Aviv and Roit, Paul and Hirsch, Eran and Ernst, Ori and Dagan, Ido}, | |
| keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences}, | |
| title = {Controlled Text Reduction}, | |
| publisher = {arXiv}, | |
| year = {2022}, | |
| copyright = {Creative Commons Zero v1.0 Universal} | |
| } | |
| ``` |