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+ # Controlled Text Reduction
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+ This dataset contains Controlled Text Reduction triplets - document-summary pairs, and the spans in the document that cover the summary.
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+ 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.
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+
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+ The script downloads the data from the original [GitHub repository](https://github.com/lovodkin93/Controlled_Text_Reduction).
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+
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+ ### Format
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+ The dataset contains the following important features:
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+ * `doc_text` - the input text.
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+ * `summary_text` - the output text.
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+ * `highlight_spans` - the spans in the input text (the doc_text) that lead to the output text (the summary_text).
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+
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+ ```json
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+ {'doc_text': 'The motion picture industry\'s most coveted award...with 32.',
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+ 'summary_text': 'The Oscar, created 60 years ago by MGM...awarded person (32).',
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+ 'highlight_spans':'[[0, 48], [50, 55], [57, 81], [184, 247], ..., [953, 975], [1033, 1081]]'}
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+ ```
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+ where for each document-summary pair, we save the spans in the input document that lead to the summary.
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+ Notice that the dataset consists of two subsets:
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+ 1. `DUC-2001-2002` - which is further divided into 3 splits (train, validation and test).
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+ 2. `CNN-DM` - which has a single split.