base-64
Datasets
All datasets matching “base-64”dummy-base64-imagesMME-RealWorld-Base64
MME-RealWorld Dataset
This dataset contains multiple JSON files split into chunks. It includes information such as questions, images encoded in base64, and other related metadata.
Usage
You can load the dataset using the datasets library:
from datasets import load_dataset
dataset = load_dataset('yifanzhang114/MME-RealWorld-Base64', data_dir='MME-RealWorld')
dataset = load_dataset('yifanzhang114/MME-RealWorld-Base64', data_dir='MME-RealWorld-CN')
## the image can be… See the full description on the dataset page: https://huggingface.co/datasets/yifanzhang114/MME-RealWorld-Base64.Video-MME-Base64
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… See the full description on the dataset page: https://huggingface.co/datasets/MrVolts/Video-MME-Base64.AMBER_base64Text_Guided_Image_Editing_Base64base64-decode-v1
Dataset: Base64 decode version1
This dataset is for improving base64 decoding capabilities.
The number of bytes that are in the base64 encoded data spans between 0..127 bytes.
GPT 4o is great at base64 decoding.
However llama3 is terrible at base64 decoding.
Short examples of what data.jsonl looks like:
{"instruction": "Transform base64 to HEX", "input": "464pNBlIObA=", "output": "e3ae2934194839b0"}
{"instruction": "Decode Base64 to json", "input": "NQ==", "output": "[53]"}… See the full description on the dataset page: https://huggingface.co/datasets/neoneye/base64-decode-v1.