README.md

metadata

license: mit
language:
  - en
pretty_name: LongTVQA+

LongTVQA+ Dataset

This repository contains the LongTVQA+ dataset in JSON format.

LongTVQA+ is built upon the original TVQA+ dataset, with the key difference that it extends the question grounding scope from short clip-level segments (≈1 minute) to long episode-level videos (up to ~20 minutes).
This enables research on long-form video understanding, long-range temporal reasoning, and fine-grained spatio-temporal grounding in realistic TV show episodes.

In addition to the extended temporal scope, LongTVQA+ preserves and leverages the rich annotations provided in TVQA+, including:

1. Frame-level bounding box annotations for visual concept words appearing in questions and correct answers.
2. Refined timestamp annotations aligned with long episode-level context.

Please refer to the original TVQA+ paper for details on the annotation protocol and baseline evaluations.

---

Files

• LongTVQA_plus_train.json — training split (23,545 QA samples)
• LongTVQA_plus_val.json — validation split (3,017 QA samples)
• LongTVQA_plus_subtitle_clip_level.json — clip-level subtitles indexed by video clip (4,198 clips)
• LongTVQA_plus_subtitle_episode_level.json — episode-level subtitles indexed by episode (220 episodes)

---

QA JSON Format

Each entry in LongTVQA_plus_train.json and LongTVQA_plus_val.json is a dictionary with the following fields:

Key	Type	Description
qid	int	Question ID (same as in TVQA+).
q	str	Question text.
a0 ... a4	str	Five multiple-choice answers.
answer	str	Correct answer key ("a0"–"a4").
ts	list	Refined timestamp annotation. For example, [0, 5.4] indicates the localized temporal span starts at 0s and ends at 5.4s.
episode_name	str	Episode ID (e.g. s01e02).
occur_clip	str	Video clip name. Format: {show_name_abbr}_s{season}e{episode}_seg{segment}_clip_{clip}. Episodes are typically divided into two segments separated by the opening theme. For The Big Bang Theory, {show_name_abbr} is omitted (e.g. s05e02_seg02_clip_00).
bbox	dict	Frame-level bounding box annotations sampled at 3 FPS. Keys are frame indices. Values are lists of bounding boxes with img_id, top, left, width, height, and label.

---

QA Sample

{
  "answer": "a1",
  "qid": 134094,
  "ts": [5.99, 11.98],
  "a1": "Howard is talking to Raj and Leonard",
  "a0": "Howard is talking to Bernadette",
  "a3": "Howard is talking to Leonard and Penny",
  "a2": "Howard is talking to Sheldon , and Raj",
  "q": "Who is Howard talking to when he is in the lab room ?",
  "episode_name": "s05e02",
  "occur_clip": "s05e02_seg02_clip_00",
  "a4": "Howard is talking to Penny and Bernadette",
  "bbox": {
    "14": [
      {
        "img_id": 14,
        "top": 153,
        "label": "Howard",
        "width": 180,
        "height": 207,
        "left": 339
      },
      {
        "img_id": 14,
        "top": 6,
        "label": "lab",
        "width": 637,
        "height": 354,
        "left": 3
      }
    ],
    "20": [],
    "26": [],
    "32": [],
    "38": []
  }
}

---

Subtitles JSON Format

Two subtitle files are provided to support different temporal granularities:

File	Key	Type	Description
LongTVQA_plus_subtitle_clip_level.json	vid_name	str	Clip-level subtitle text, with utterances separated by <eos>.
LongTVQA_plus_subtitle_episode_level.json	episode_name	str	Episode-level subtitle text, including clip markers such as <seg01_clip_00>, and utterances separated by <eos>.

---

Subtitles Sample

{
  "s09e14_seg02_clip_04": "Sheldon : That 's a risk I'm willing to take ! <eos> Amy : Well , this is so nice . <eos> ..."
}

---

License

This dataset is released under the MIT License.

📝 Citation

If you find our work helpful, please cite:

@misc{liu2025longvideoagentmultiagentreasoninglong,
      title={LongVideoAgent: Multi-Agent Reasoning with Long Videos}, 
      author={Runtao Liu and Ziyi Liu and Jiaqi Tang and Yue Ma and Renjie Pi and Jipeng Zhang and Qifeng Chen},
      year={2025},
      eprint={2512.20618},
      archivePrefix={arXiv},
      primaryClass={cs.AI},
      url={[https://arxiv.org/abs/2512.20618](https://arxiv.org/abs/2512.20618)}, 
}