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---
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/` |