Datasets:

xidwang
/

S-EMBER

license: cc-by-nc-4.0
configs:
  - config_name: mcq
    data_files:
      - split: test
        path: sember_mcq.jsonl
  - config_name: grounding
    data_files:
      - split: test
        path: sember_grounding.jsonl
extra_gated_prompt: >-
  S-EMBER is released for non-commercial research purposes only. By requesting
  access you agree to use this dataset solely for non-commercial purposes, in
  accordance with the Creative Commons Attribution-NonCommercial 4.0
  International (CC BY-NC 4.0) license.
extra_gated_fields:
  Full name: text
  Affiliation: text
  Intended use: text
  I agree to use this dataset for non-commercial purposes only: checkbox
  I agree to the CC BY-NC license terms: checkbox

S-EMBER

Episodic-memory video QA benchmark (face-blurred, audio-removed).

License & usage

This dataset is licensed under CC BY-NC 4.0 and is provided for non-commercial research use only. Access is gated: you must accept the non-commercial terms above before downloading.

sember_mcq.jsonl — multiple-choice evaluation split.
sember_grounding.jsonl — answer-generation and temporal-grounding evaluation split.
videos/ — face-blurred, audio-removed .mp4 clips (720p, 12fps).

Each JSONL row has a video_id field that maps to videos/<video_id>.mp4.

Loading with Hugging Face Datasets

from datasets import load_dataset

mcq = load_dataset("xidwang/S-EMBER", "mcq", split="test")
grounding = load_dataset("xidwang/S-EMBER", "grounding", split="test")

S-EMBER

License & usage

Contents

Loading with Hugging Face Datasets