metadata

size_categories:
  - 10K<n<100K
pretty_name: OKReddit Visionary
task_categories:
  - text-generation
  - fill-mask
task_ids:
  - language-modeling
  - masked-language-modeling
source_datasets:
  - original
language:
  - en

Dataset Summary

OKReddit Visionary is a collection of 50 GiB (~74K pairs) of image Question & Answers. This dataset has been prepared for research or archival purposes.

This dataset includes (obviously) a filtered list of subreddits.

Curated by: KaraKaraWitch
Funded by: Recursal.ai
Shared by: KaraKaraWitch
Language(s) (NLP): Mainly English. Other languages are available at smaller sizes.
License: Scripts folder are Apache 2.0. Refer to Licensing Information for data license.

Dataset Sources

Source Data: Academic Torrents by (stuck_in_the_matrix, Watchful1, RaiderBDev & pushshift folks.)

Languages

All the questions and answers should be in english at this size point.

Dataset Structure

Data Instances

The dataset can be loaded with webdataset. Do note that there are multiple extensions to check: jpg, jpeg or png. They have not been reconverted to preserve the original file from reddit.

import webdataset as wds
# After concatting, you may use the file like a regular dataset.

# The dataset is compatible with WebDataset format. Example...

tar_file = "PackedTar.tar"

hf_dataset = wds.WebDataset(str(tar_root)).decode("pil")