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@@ -3,11 +3,8 @@ size_categories:
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  - 10K<n<100K
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  pretty_name: OKReddit Visionary
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  task_categories:
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- - text-generation
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- - fill-mask
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- task_ids:
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- - language-modeling
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- - masked-language-modeling
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  source_datasets:
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  - original
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  language:
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  OKReddit Visionary is a collection of **50 GiB** (~74K pairs) of image Question & Answers. This dataset has been prepared for research or archival purposes.
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- This dataset includes (obviously) a filtered list of subreddits.
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-
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  - **Curated by:** KaraKaraWitch
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  - **Funded by:** Recursal.ai
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  - **Shared by:** KaraKaraWitch
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- - **Language(s) (NLP):** Mainly English. Other languages are available at smaller sizes.
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- - **License:** `Scripts` folder are Apache 2.0. Refer to [Licensing Information](#licensing-information) for data license.
 
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  ### Dataset Sources
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  - **Source Data:** [Academic Torrents](https://academictorrents.com/details/9c263fc85366c1ef8f5bb9da0203f4c8c8db75f4) by (stuck_in_the_matrix, Watchful1, RaiderBDev & pushshift folks.)
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  ## Languages
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  All the questions and answers should be in english at this size point.
@@ -55,6 +59,24 @@ tar_file = "PackedTar.tar"
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  hf_dataset = wds.WebDataset(str(tar_root)).decode("pil")
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  ```
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  # Additional Information
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  ## Recursal's Vision
 
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  - 10K<n<100K
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  pretty_name: OKReddit Visionary
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  task_categories:
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+ - question-answering
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+ - image-to-text
 
 
 
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  source_datasets:
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  - original
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  language:
 
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  OKReddit Visionary is a collection of **50 GiB** (~74K pairs) of image Question & Answers. This dataset has been prepared for research or archival purposes.
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  - **Curated by:** KaraKaraWitch
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  - **Funded by:** Recursal.ai
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  - **Shared by:** KaraKaraWitch
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+ - **Special Thanks:** [harrison](https://huggingface.co/harrisonvanderbyl) (Suggestion)
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+ - **Language(s) (NLP):** Mainly English.
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+ - **License:** Refer to [Licensing Information](#licensing-information) for data license.
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  ### Dataset Sources
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  - **Source Data:** [Academic Torrents](https://academictorrents.com/details/9c263fc85366c1ef8f5bb9da0203f4c8c8db75f4) by (stuck_in_the_matrix, Watchful1, RaiderBDev & pushshift folks.)
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+ ## Supported Tasks and Leaderboards
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+
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+ The dataset may be used for a variety of natural language processing (NLP) tasks including:
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+
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+ - Visual Questioning: Dataset contains question and answer pairs
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+ - Text to Image (and vice versa).
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+
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+
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  ## Languages
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  All the questions and answers should be in english at this size point.
 
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  hf_dataset = wds.WebDataset(str(tar_root)).decode("pil")
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  ```
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+ # Dataset Creation
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+
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+ ## Curation Rationale
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+
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+ Some subreddits are more often than not, Q&A subreddits. Where the submission author asks a question (+An Image), and recieve responses back.
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+ ### Subreddits Picked
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+
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+ Following a suggestion from harrison, I've selected the following subreddits for this dataset:
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+
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+ - PeterExplainsTheJoke
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+ - whatisthisanimal
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+ - whatisthisbug
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+ - whatisthiscar
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+ - whatisthisthing
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+
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+ Some subreddits were not present in the base OKReddit-RC3 (/r/PeterExplainsTheJoke for example) dataset and had to be pulled from an intermediary step. But the same quality metrics where used in the final subreddit filtering.
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+
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  # Additional Information
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  ## Recursal's Vision