TrainData / README.md
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metadata
license: other
task_categories:
  - text-classification
language:
  - en
pretty_name: resever

annotations_creators: - expert-generated language_creators: - expert-generated language: - en license: - cc-by-nc-nd-4.0 multilinguality: - monolingual size_categories: - 10K<n<100K source_datasets: - original task_categories: - summarization task_ids: [] paperswithcode_id: samsum-corpus pretty_name: SAMSum Corpus tags: - conversations-summarization dataset_info: features: - name: id dtype: string - name: dialogue dtype: string - name: summary dtype: string config_name: samsum splits: - name: train num_bytes: 9479141 num_examples: 14732 - name: test num_bytes: 534492 num_examples: 819 - name: validation num_bytes: 516431 num_examples: 818 download_size: 2944100 dataset_size: 10530064 train-eval-index: - config: samsum task: summarization task_id: summarization splits: eval_split: test col_mapping: dialogue: text summary: target

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Dataset Details

Dataset Description

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Uses

Direct Use

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Dataset Structure

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Dataset Creation

Curation Rationale

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Source Data

Data Collection and Processing

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Who are the source data producers?

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Annotations [optional]

Annotation process

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Who are the annotators?

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Personal and Sensitive Information

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Bias, Risks, and Limitations

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Recommendations

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Citation [optional]

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