CITATION.cff

cff-version: 1.2.0
title: 'HERBench: A Benchmark for Multi-Evidence Integration in Video Question Answering'
message: >-
  If you use this dataset, please cite it using the metadata from this file.
type: dataset
authors:
  - family-names: Ben-Ami
    given-names: Dan
    email: [email protected]
  - family-names: Serussi
    given-names: Gabriele
    email: [email protected]
  - family-names: Cohen
    given-names: Kobi
  - family-names: Baskin
    given-names: Chaim
repository-code: 'https://github.com/DanBenAmi/HERBench'
url: 'https://huggingface.co/datasets/DanBenAmi/HERBench'
abstract: >-
  HERBench is a benchmark for evaluating multi-evidence integration in video question answering.
  It contains 26,806 five-way multiple-choice questions across 337 unique videos with an average
  length of 395 seconds. Each question enforces a High Evidential Requirement (ER), requiring
  models to aggregate at least k ≥ 3 distinct, temporally separated visual cues. The benchmark
  includes 12 compositional task types covering temporal reasoning, spatial reasoning, causal
  reasoning, counting, comparison, and other multi-evidence challenges.
keywords:
  - video understanding
  - visual question answering
  - multi-evidence reasoning
  - temporal reasoning
  - long video
  - benchmark
license: CC-BY-NC-SA-4.0
date-released: '2025-01-01'
version: 1.0.0
preferred-citation:
  type: article
  authors:
    - family-names: Ben-Ami
      given-names: Dan
    - family-names: Serussi
      given-names: Gabriele
    - family-names: Cohen
      given-names: Kobi
    - family-names: Baskin
      given-names: Chaim
  title: 'HERBench: A Benchmark for Multi-Evidence Integration in Video Question Answering'
  year: 2025
  journal: 'arXiv preprint'
  notes: 'arXiv:XXXX.XXXXX (to be updated)'