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README.md
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# Dataset Card for "Scored-Summarization-datasets"
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A collection of Text summarization datasets geared towards training a multi-purpose text summarizer.
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Each dataset is a parquet file with the following features.
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#### default
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- `text`: a `string` feature. The `source` document
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- `summary`: a `string` feature. The summary of the document
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- `provenance`: a `string` feature. Information about the sub dataset.
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- `t5_text_token_count`: a `int64` feature. The number of tokens the text is encoded in.
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- `t5_summary_token_count `: a `int64` feature. The number of tokens the summary is encoded in.
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- `contriever_cos`: a `float64` feature. The Cosine Similarity of the Contriever text embedding and Contriever summary embedding.
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Information about the Contriever model: https://github.com/facebookresearch/contriever.
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```
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