metadata
task_categories:
- video-text-to-text
- visual-question-answering
language:
- en
pretty_name: Video-MME Base64 (480p H.264)
size_categories:
- 1K<n<10K
source_datasets:
- lmms-lab/Video-MME
Video-MME Base64 (480p H.264)
Base64-encoded video dataset derived from lmms-lab/Video-MME.
All videos re-encoded to 480p H.264 for VLM compatibility.
Structure
| Split | Key | Description |
|---|---|---|
qa/ |
video_id |
QA pairs from Video-MME |
videos/ |
video_id |
Base64 video (H.264) |
audio/ |
video_id |
Base64 audio (MP3) |
Join on video_id (e.g., "001", "002").
Stats
- Videos: 869
- QA pairs: 2607
- Shards: shard-01-of-10 through shard-10-of-10
Usage
from datasets import load_dataset
import base64
qa = load_dataset("MrVolts/Video-MME-Base64", data_files="qa/*.parquet", split="train")
videos = load_dataset("MrVolts/Video-MME-Base64", data_files="videos/*.parquet", split="train")
# Join on video_id
sample = qa[0]
video_row = videos.filter(lambda x: x["video_id"] == sample["video_id"])[0]
video_bytes = base64.b64decode(video_row["video_b64"])