---
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/`