| --- |
| 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). | |
|
|
