Datasets:
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README.md
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pretty_name: Claim Stance
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size_categories:
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- 1K<n<10K
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---
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# Dataset Card for Claim Stance Dataset
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## Dataset Summary
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This dataset contains 2,394 labeled Wikipedia claims for 55 topics. The dataset includes the stance (Pro/Con) of each claim towards the topic,
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as well as fine-grained annotations, based on the semantic model of [Stance Classification of Context-Dependent Claims](https://aclanthology.org/E17-1024/) (topic target,
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topic sentiment towards its target, claim target, claim sentiment towards its target, and the relation between the targets).
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The dataset is divided into a training set (25 topics, 1,039 claims) and a test set (30 topics, 1,355 claims).
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## Dataset Structure
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* topicId - internal topic ID
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pretty_name: Claim Stance
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size_categories:
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- 1K<n<10K
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configs:
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- config_name: claim_stance
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data_files:
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- split: train
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path: "train.csv"
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- split: test
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path: "test.csv"
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- config_name: claim_stance_topic
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data_files:
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- split: train
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path: "train_topic.csv"
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- split: validation
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path: "dev_topic.csv"
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- split: test
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path: "test_topic.csv"
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---
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---
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# Dataset Card for Claim Stance Dataset
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## Dataset Summary
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### Claim Stance
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This dataset contains 2,394 labeled Wikipedia claims for 55 topics. The dataset includes the stance (Pro/Con) of each claim towards the topic,
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as well as fine-grained annotations, based on the semantic model of [Stance Classification of Context-Dependent Claims](https://aclanthology.org/E17-1024/) (topic target,
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topic sentiment towards its target, claim target, claim sentiment towards its target, and the relation between the targets).
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The dataset is divided into a training set (25 topics, 1,039 claims) and a test set (30 topics, 1,355 claims).
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### Claim Stance Topic
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This subset contains the claims (`text`) only associated with the `topic` in a different split to train-validation-test. Usage of this subset TBA.
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## Dataset Structure
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* topicId - internal topic ID
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