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task: xsum
dataset_path: EdinburghNLP/xsum
dataset_name: xsum
output_type: generate_until
training_split: train
validation_split: validation
test_split: test
doc_to_text: "Document: {{document}}\nSummary:"
doc_to_target: "{{summary}}"
# process_docs: !function utils.process_docs
process_results: !function utils.process_results
should_decontaminate: True
doc_to_decontamination_query: document
generation_kwargs:
until:
- "\n"
- "."
do_sample: false
temperature: 0.0
metric_list:
- metric: rouge1_max
aggregation: mean
higher_is_better: true
- metric: rouge1_acc
aggregation: mean
higher_is_better: true
- metric: rouge1_diff
aggregation: mean
higher_is_better: true
- metric: rouge2_max
aggregation: mean
higher_is_better: true
- metric: rouge2_acc
aggregation: mean
higher_is_better: true
- metric: rouge2_diff
aggregation: mean
higher_is_better: true
- metric: rougeL_max
aggregation: mean
higher_is_better: true
- metric: rougeL_acc
aggregation: mean
higher_is_better: true
- metric: rougeL_diff
aggregation: mean
higher_is_better: true
metadata:
- version: 0.0
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