Datasets:

compling
/

event_factuality

dataset_info:
  features:
    - name: sentence
      dtype: string
    - name: split
      dtype: string
    - name: sentence_id
      dtype: string
    - name: pred_token
      dtype: int32
    - name: pred_lemma
      dtype: string
    - name: label
      dtype:
        class_label:
          names:
            '0': 'false'
            '1': 'true'
    - name: label_rule
      dtype: string
  splits:
    - name: train
      num_bytes: 4476081
      num_examples: 22797
    - name: test
      num_bytes: 411766
      num_examples: 2359
  download_size: 927042
  dataset_size: 4887847
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*

Event Factuality (It Happened / UDS-IH2)

Source

Decomp “It Happened” (UDS-IH2): https://decomp.io/projects/factuality/
UD English-EWT v1.2 (r1.2) for sentence reconstruction: https://github.com/UniversalDependencies/UD_English-EWT/tree/r1.2
- Contains raw web/news text; included for research purposes only (no endorsement).

Task

Binary predicate-level event factuality (one row per predicate).

Labels

label: 0=false, 1=true
label_rule: single, agree, na_other, tie_conf4_vs0, tie_conf4_vs1, tie_conf4_vs2

Preprocessing

Filter Keep=True.
Aggregate up to 2 annotations per predicate; resolve ties using label_rule; drop unresolved cases.

Reference

Paper: https://aclanthology.org/N18-1067/