Datasets:

CLS-Lab
/

narrative-gold-annotations

pretty_name: Narrative Annotation Dataset
language:
  - en
license: cc-by-4.0
task_categories:
  - text-classification
tags:
  - narrative
  - annotation
  - dolma
configs:
  - config_name: setting
    data_files: setting_annotations.parquet
  - config_name: agency
    data_files: agency_annotations.parquet
  - config_name: event_relation
    data_files: event_relation_annotations.parquet
  - config_name: all
    data_files: all_annotations.parquet

Narrative annotation dataset

Human annotations for three narrative-analysis tasks — setting, agency, and event relation — over passages sampled from the Dolma corpus.

Annotators & anonymization

Annotator identities are anonymized. Each task has a single gold adjudicator plus one or more secondary annotators used for double annotation / agreement.

Role	Meaning
`gold`	The adjudicated / primary label for every released instance.
`annotator_1`	Second independent annotator (present in all three tasks).
`annotator_2`	Additional second annotator (setting task only).

Columns follow the pattern {dimension}_{role}, e.g. setting_concreteness_gold, setting_concreteness_annotator_1. A secondary column is left empty (NaN) for instances that annotator did not label.

Double-annotation coverage

Task	Instances (gold)	Double-annotated
Setting	400	70 passages by `annotator_2`; 29 more by `annotator_1`
Agency	400	100 passages by `annotator_1`
Event relation	440	251 passages by `annotator_1`

Note: for the setting task the two secondary annotators cover disjoint passage sets (annotator_2's and annotator_1's do not overlap), so the total double-annotated count is their sum.

Files

setting_annotations.parquet — setting task
agency_annotations.parquet — agency task
event_relation_annotations.parquet — event-relation task
all_annotations.parquet — the three tasks outer-joined on safe_instance_id

Label scales

Setting and agency dimensions are 1–5 Likert ratings:

Setting: concreteness, temporal_grounding, spatial_grounding, sensory
Agency: focalization, emotion, cognition, change_of_state, conflict

Event relation dimensions:

span1_is_event, span2_is_event — boolean (is the marked span an event?)
temporal_order — one of span1_first, span2_first, simultaneous, same_event, too_hard_to_tell
causality_rating — one of direct_cause, enables, not_related

The event spans being judged are given by assigned_span1 / assigned_span2 ([start, end, text, type]), whose character offsets index into sampled_text.

Columns

Column	Description
`safe_instance_id`	Unique passage identifier (join key across files).
`folder`	Dolma sub-corpus the passage came from.
`dolma_source`	Original Dolma source.
`sampled_text`	The passage text shown to annotators.
`assigned_span1`, `assigned_span2`	(event file only) the two spans judged; offsets index into `sampled_text`.
`{dimension}_gold`	Gold/adjudicated label for a dimension.
`{dimension}_annotator_1`, `{dimension}_annotator_2`	Secondary-annotator labels (NaN where not annotated).