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Datasets:
BenjaminOcampo
/
wsf_arg_plus

Tasks:
Text Classification
Modalities:
Tabular
Text
Formats:
csv
Languages:
English
Size:
1K - 10K
Tags:
hate-speech
misinformation
check-worthiness
llm-in-the-loop
llm-as-annotator
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
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  1. wsf_arg_plus_per_claim.csv +0 -0
  2. wsf_arg_plus_per_claim_all_llms.csv +0 -0
  3. wsf_arg_plus_per_claim_gold_disagg.csv +0 -0
  4. wsf_arg_plus_per_claim_platinum_disagg.csv +0 -0
  5. wsf_arg_plus_per_message.csv +0 -0
  6. wsf_arg_plus_per_message_all_llms.csv +0 -0
  7. wsf_arg_plus_per_message_gold_disagg.csv +0 -0
  8. wsf_arg_plus_per_message_platinum_disagg.csv +0 -0
wsf_arg_plus_per_claim.csv ADDED
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wsf_arg_plus_per_claim_all_llms.csv ADDED
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wsf_arg_plus_per_claim_gold_disagg.csv ADDED
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wsf_arg_plus_per_claim_platinum_disagg.csv ADDED
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wsf_arg_plus_per_message.csv ADDED
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wsf_arg_plus_per_message_all_llms.csv ADDED
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wsf_arg_plus_per_message_gold_disagg.csv ADDED
The diff for this file is too large to render. See raw diff
 
wsf_arg_plus_per_message_platinum_disagg.csv ADDED
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