features:
- name: input
dtype: string
- name: output
dtype: json
- name: schema
list:
- name: label
dtype: string
- name: description
dtype: string
configs:
- config_name: default
data_files:
- split: train
path: data/maven_train.jsonl
- split: validation
path: data/maven_validation.jsonl
MAVEN (mneb/casie format)
MAVEN (Wang et al., EMNLP 2020) converted into the mneb json_structures event-extraction
format. MAVEN is a massive general-domain event detection dataset — 168 event types over
English Wikipedia documents. It is ED-only (no argument annotation), so each record's output
carries only json_structures; every event's arguments is always []. One record = one
sentence. ALL sentences are kept, including event-less ones (json_structures: {}). Char
offsets are end-exclusive (input[start:end] == text). Event-type strings are kept verbatim
from the raw release.
Splits
Official MAVEN document split:
| Split | Docs | Sentences | Event mentions |
|---|---|---|---|
train |
2,913 | 32,431 | 77,993 |
validation |
710 | 8,042 | 18,904 |
validation is MAVEN's raw valid split, renamed for naming consistency with the other
converted datasets. The official test split is not included: its annotations are withheld
for the CodaLab leaderboard, so it carries no gold event type or mention, only candidate
triggers.
What is dropped from the raw release
- The unlabeled
testsplit. negative_triggersand other candidate lists (explicitly-labeled non-events).- Event coreference: MAVEN groups multiple mentions under one event instance. The flat per-sentence format used here cannot represent that grouping, so mentions become independent trigger entries — mention counts are preserved exactly (nothing deduplicated or merged).
- Numeric
type_ids, mention/event ids, and the raw per-sentence token lists.
Token -> char note
MAVEN's raw trigger spans are token indices into per-sentence token lists that are lossy
(lowercased, rare words replaced by the literal string unk, PTB escapes for brackets/quotes).
Triggers were re-anchored to the raw sentence text via greedy earliest-match case-insensitive
alignment, trying PTB-variant candidates alongside the raw token, plus a neighbor-window
fallback search for unk-substituted tokens. This recovered 100% of mentions: 0 drops, 0
offset failures across both splits. The emitted trigger text is always the authoritative
sentence slice (input[start:end]); it differs from the raw trigger_word in 795 (train) + 200
(validation) cases, all case-only.
Provenance & license
Source: THU-KEG/MAVEN-dataset (data distributed via Google Drive / Tsinghua Cloud), MIT license. Document text is drawn from English Wikipedia (CC BY-SA). The event schema is derived from FrameNet. Annotations are crowd-sourced.
See maven_label_summary.md for the full 168-type inventory and per-split counts, and
maven_vis.html for a sampled visualiser (stratified sample, ≤20 records/type per split + 10
empty records per split).