Datasets:

YinmingHuang
/

qwen3-omni-pairwise-video-train

license: apache-2.0
task_categories:
  - text-generation
language:
  - en
tags:
  - qwen3-omni
  - video
  - audio-visual
  - pairwise
  - preference
size_categories:
  - 1K<n<10K

Qwen3-Omni Pairwise Video Inference / Evaluation

Pairwise audio-video preference evaluation data for Qwen3-Omni models. Each sample compares two generated videos (with audio) against a text caption and human/Gemini labels.

Source path on cluster: /inspire/hdd/project/autoregressive-video-generation/public/hym/data/final_train

Upload snapshot: 2026-06-12 10:46 UTC

Repository layout

Contents of final_infer are uploaded to the dataset repo root:

.cache/
ovi_davinci/
ovi_ltx/
pair_video/

JSONL fields (eval splits)

Typical fields in eval.jsonl:

messages: chat-style prompt (system + user with caption and two <video> placeholders)
videos: relative paths to the two compared mp4 files
solution / human_solution: preferred video index (1 or 2)
case_id, sample_id, example_json, answer_source

Usage

from huggingface_hub import snapshot_download

local_dir = snapshot_download(
    repo_id="YinmingHuang/qwen3-omni-pairwise-video-train",
    repo_type="dataset",
    local_dir="./qwen3-omni-pairwise-video-infer",
)

Or with datasets:

from datasets import load_dataset

# Load a specific eval split (metadata only; videos are separate files in the repo)
ds = load_dataset("YinmingHuang/qwen3-omni-pairwise-video-train", data_files="easy500/eval.jsonl", split="train")

Stats

Files uploaded (excluding ignore patterns): 55390
Total size: 72.0 GB

Citation

If you use this dataset, please cite the corresponding Qwen3-Omni / AV preference work from your project README.