--- dataset_info: - config_name: armis features: - name: id dtype: string - name: text dtype: string - name: lang dtype: string - name: annotations dtype: int64 - name: soft_label list: float64 splits: - name: train num_bytes: 170524 num_examples: 657 - name: validation num_bytes: 36479 num_examples: 141 - name: test num_bytes: 37966 num_examples: 145 download_size: 142736 dataset_size: 244969 - config_name: conv_abuse features: - name: id dtype: string - name: prev_agent dtype: string - name: prev_user dtype: string - name: agent dtype: string - name: user dtype: string - name: lang dtype: string - name: annotations dtype: int64 - name: soft_label list: float64 splits: - name: train num_bytes: 418334 num_examples: 2398 - name: validation num_bytes: 145527 num_examples: 812 - name: test num_bytes: 150336 num_examples: 840 download_size: 263301 dataset_size: 714197 - config_name: csc features: - name: id dtype: string - name: context dtype: string - name: response dtype: string - name: lang dtype: string - name: annotations dtype: int64 - name: soft_label list: float64 splits: - name: train num_bytes: 1954431 num_examples: 5628 - name: validation num_bytes: 247727 num_examples: 704 - name: test num_bytes: 243899 num_examples: 704 download_size: 694211 dataset_size: 2446057 - config_name: hs_brexit features: - name: id dtype: string - name: text dtype: string - name: lang dtype: string - name: annotations dtype: int64 - name: soft_label list: float64 splits: - name: train num_bytes: 123650 num_examples: 784 - name: validation num_bytes: 26186 num_examples: 168 - name: test num_bytes: 26459 num_examples: 168 download_size: 119565 dataset_size: 176295 - config_name: md_agreement features: - name: id dtype: string - name: text dtype: string - name: lang dtype: string - name: annotations dtype: int64 - name: soft_label list: float64 splits: - name: train num_bytes: 1182092 num_examples: 6592 - name: validation num_bytes: 201159 num_examples: 1104 - name: test num_bytes: 549739 num_examples: 3057 download_size: 1240448 dataset_size: 1932990 - config_name: mp features: - name: id dtype: string - name: post dtype: string - name: reply dtype: string - name: lang dtype: string - name: annotations dtype: int64 - name: soft_label list: float64 splits: - name: train num_bytes: 4552552 num_examples: 12017 - name: validation num_bytes: 1127746 num_examples: 3005 - name: test num_bytes: 1353129 num_examples: 3756 download_size: 4458000 dataset_size: 7033427 - config_name: varierrnli features: - name: id dtype: string - name: context dtype: string - name: statement dtype: string - name: lang dtype: string - name: annotations dtype: int64 - name: entailment dtype: float64 - name: neutral dtype: float64 - name: contradiction dtype: float64 splits: - name: train num_bytes: 90191 num_examples: 388 - name: validation num_bytes: 11490 num_examples: 50 - name: test num_bytes: 10921 num_examples: 50 download_size: 83332 dataset_size: 112602 configs: - config_name: armis data_files: - split: train path: armis/train-* - split: validation path: armis/validation-* - split: test path: armis/test-* - config_name: conv_abuse data_files: - split: train path: conv_abuse/train-* - split: validation path: conv_abuse/validation-* - split: test path: conv_abuse/test-* - config_name: csc data_files: - split: train path: csc/train-* - split: validation path: csc/validation-* - split: test path: csc/test-* - config_name: hs_brexit data_files: - split: train path: hs_brexit/train-* - split: validation path: hs_brexit/validation-* - split: test path: hs_brexit/test-* - config_name: md_agreement data_files: - split: train path: md_agreement/train-* - split: validation path: md_agreement/validation-* - split: test path: md_agreement/test-* - config_name: mp data_files: - split: train path: mp/train-* - split: validation path: mp/validation-* - split: test path: mp/test-* - config_name: varierrnli data_files: - split: train path: varierrnli/train-* - split: validation path: varierrnli/validation-* - split: test path: varierrnli/test-* source_datasets: [] license: other --- # lewidi Learning with Disagreements (LeWiDi, SemEval-2023 Task 11 and its 2025 edition): soft labels from every annotator. One config per dataset: md_agreement (offensiveness, 5 annotators), hs_brexit (hate speech, 6), armis (Arabic misogyny and sexism, 3), conv_abuse (abuse in user turns of chatbot dialogues, 3 or more), csc (sarcasm rated 1-6), mp (MultiPICo irony, multilingual) and varierrnli (NLI where each annotator may accept several labels). ``soft_label`` lists the share of annotators per label in ``labels`` order; varierrnli instead gives, per NLI label, the share of annotators who accepted it. Text fields are unpacked from the harmonized JSON. The Paraphrase set (an 11-level scale over 500 items) is left out. The original datasets' licenses and terms apply unchanged; see the LeWiDi repository (https://github.com/Le-Wi-Di/le-wi-di.github.io) and each dataset's paper. Repackaged as parquet for [tasksource](https://github.com/sileod/tasksource) by [scripts/upload_repackaged.py](https://github.com/sileod/tasksource/blob/main/scripts/upload_repackaged.py).