Datasets:
metadata
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
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num_examples: 2398
- name: validation
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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
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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
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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 by scripts/upload_repackaged.py.