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Record native stance-label quality finding
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metadata
dataset_info:
  features:
    - name: sentence1
      dtype: string
    - name: sentence2
      dtype: string
    - name: labels
      dtype: string
    - name: metadata
      dtype: string
  splits:
    - name: train
      num_bytes: 8770069
      num_examples: 11164
    - name: validation
      num_bytes: 1080702
      num_examples: 1390
    - name: test
      num_bytes: 1584881
      num_examples: 2007
  download_size: 1875437
  dataset_size: 11435652
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*
license: other
source_datasets: []

vast

VAST native human stance annotations, using original comments and topics.

Excludes type_idx=4 synthetic neutral pairs. Keeps native train/dev/test, complete original comments, annotation IDs and article IDs. Original data: https://github.com/emilyallaway/zero-shot-stance/tree/master/data/VAST. Dataset license is unspecified; no code license is applied to the comments.

Original data: original distribution. Repackaged as parquet for tasksource by scripts/repackage_dataset/stance.py.

Conversion provenance: source revisions, hashes, configuration and exclusions.

Quality status

Not selected for Tasksource training: coarse review found native training row 18506 explicitly endorsing humans being omnivores but labeled against topic omnivore (ListTopic/type 3). Labels are preserved, not repaired. Topic/stance alignment requires further validation before training use.