nollysenti 903 Bytes
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tag:
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    - afrobench_sentiment_tasks
    - nollysenti_prompt_1
dataset_path: Davlan/nollysenti
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output_type: multiple_choice
validation_split: validation
test_split: test
fewshot_split: validation
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doc_to_text: 'Does this movie description "{{review}}" have a Positive or Negative sentiment? Labels only\n'
doc_to_target: label
doc_to_choice:
    - "positive"
    - "negative"
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should_decontaminate: true
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doc_to_decontamination_query: review
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metric_list:
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  - metric: f1
    aggregation: !function utils.weighted_f1_score
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    # aggregation: mean
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    average: weighted
    hf_evaluate: true
    higher_is_better: True
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    ignore_case: true
    ignore_punctuation: true
    regexes_to_ignore:
      - ","
      - "\\$"
  - metric: acc
    aggregation: mean
    higher_is_better: true
    ignore_case: true
    ignore_punctuation: true
    regexes_to_ignore:
      - ","
      - "\\$"
metadata:
  version: 1.0