Super-squash branch 'main' using huggingface_hub

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+*.pcm filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+annotations_creators:
+- no-annotation
+language_creators:
+- crowdsourced
+pretty_name: SuperWikiImages-7M
+task_categories:
+- image-classification
+- image-to-text
+- text-to-image
+- image-to-image
+task_ids:
+- language-modeling
+- masked-language-modeling
+source_datasets:
+- original
+multilinguality:
+- multilingual
+language:
+- af
+- ar
+- ast
+- az
+- be
+- bg
+- bn
+- ca
+- ce
+- cs
+- cy
+- da
+- de
+- el
+- en
+- eo
+- es
+- et
+- eu
+- fa
+- fi
+- fr
+- gl
+- he
+- hi
+- hr
+- hu
+- hy
+- id
+- it
+- ja
+- ka
+- kk
+- ko
+- la
+- lt
+- lv
+- mk
+- ms
+- my
+- nl
+- nn
+- 'no'
+- pl
+- pt
+- ro
+- ru
+- sh
+- sk
+- sl
+- sr
+- sv
+- ta
+- tg
+- th
+- tr
+- uk
+- ur
+- uz
+- vi
+- zh
+size_categories:
+- 10B<n<100B
+---
+
+# Dataset Card for SuperWikiImage (SWI)
+
+![](Waifu.png "Based off from Wikipe-tan (Maid, cyan hair, short hair) and Wikipedia's globe logo.")
+
+*Waifu to catch your attention.*
+
+## Dataset Details
+
+### Dataset Description
+
+Off from the presses of *SuperWikipedia-NEXT* comes *SuperWikiImage*: A **~15TiB** (~7 Million) collection of images from wikipedia.
+
+- **Curated by:** KaraKaraWitch
+- **Funded by:** Recursal.ai
+- **Shared by:** KaraKaraWitch
+- **Language(s) (NLP):** Many. Refer to the data below for a list of languages.
+- **License:** Mixed. Refer to lower section on licensing
+
+### Dataset Sources [optional]
+
+<!-- Provide the basic links for the dataset. -->
+
+- **Source Data:** [https://dumps.wikimedia.org/other/enterprise_html/](https://dumps.wikimedia.org/other/enterprise_html) (Images are scraped from wikimedia commons)
+
+### Supported Tasks and Leaderboards
+
+Anything to deal with images such as image to text, text to image, image to image and many more are supported.
+
+### Languages
+
+We have selected the following Wikipedia's:
+
+<details>
+<summary>List of Wikipedia's</summary>
+<pre>
+af.wikipedia.org
+ar.wikipedia.org
+ast.wikipedia.org
+az.wikipedia.org
+be.wikipedia.org
+bg.wikipedia.org
+bn.wikipedia.org
+ca.wikipedia.org
+ce.wikipedia.org
+cs.wikipedia.org
+cy.wikipedia.org
+da.wikipedia.org
+de.wikipedia.org
+el.wikipedia.org
+en.wikipedia.org
+eo.wikipedia.org
+es.wikipedia.org
+et.wikipedia.org
+eu.wikipedia.org
+fa.wikipedia.org
+fi.wikipedia.org
+fr.wikipedia.org
+gl.wikipedia.org
+he.wikipedia.org
+hi.wikipedia.org
+hr.wikipedia.org
+hu.wikipedia.org
+hy.wikipedia.org
+id.wikipedia.org
+it.wikipedia.org
+ja.wikipedia.org
+ka.wikipedia.org
+kk.wikipedia.org
+ko.wikipedia.org
+la.wikipedia.org
+lt.wikipedia.org
+lv.wikipedia.org
+min.wikipedia.org
+mk.wikipedia.org
+ms.wikipedia.org
+my.wikipedia.org
+nl.wikipedia.org
+nn.wikipedia.org
+no.wikipedia.org
+pl.wikipedia.org
+pt.wikipedia.org
+ro.wikipedia.org
+ru.wikipedia.org
+sh.wikipedia.org
+simple.wikipedia.org
+sk.wikipedia.org
+sl.wikipedia.org
+sr.wikipedia.org
+sv.wikipedia.org
+ta.wikipedia.org
+tg.wikipedia.org
+th.wikipedia.org
+tr.wikipedia.org
+uk.wikipedia.org
+ur.wikipedia.org
+uz.wikipedia.org
+vi.wikipedia.org
+zh-min-nan.wikipedia.org
+zh.wikipedia.org
+zh-yue.wikipedia.org
+</pre>
+
+*`.wikipedia.org`* extensions have been added for your convenience.
+</details>
+
+
+### Selection of Wikipedia
+
+We deem a particular Wikipedia language as high quality if:
+
+1. Has a total article count of `>100,000`.
+2. Has a `Depth > 5.1`.
+
+*Depth is calculated using the following equation:*
+
+`depth = (article_edits / total_pages) * ((total_pages - articles) / articles) ** 2`
+
+This formula is directly taken from [list of Wikipedias.](https://meta.wikimedia.org/wiki/Wikipedia_article_depth)
+
+
+### Filtering
+
+No extensive filtering is done compared to superwiki-next.
+
+The process is as follows:
+
+1. We iterate over dump files to retrieve all the figures in a dataset
+2. We selectively remove figures in wikipedia that does not end with `(".jpeg", ".jpg", ".png")`
+3. Deduplicate by filename matching
+4. Prune all images that do not have at least 1 language describing the image.
+5. Download from wikipedia (Slow)
+6. Compile into webdataset.
+
+For data keys, refer to the usage example.
+
+## Usage Example
+
+The dataset can be loaded with webdataset.
+
+```py
+import webdataset as wds
+
+# The dataset is compatible with WebDataset format. Example...
+
+tar_root = "... chunk_00/wiki_images-0000.tar"
+
+hf_dataset = wds.WebDataset(str(tar_root)).decode("pil")
+for i in hf_dataset:
+    print(i)
+    # Prints something like this:
+    # {
+    #     "__key__": "Liam Neeson Deauville 2012 2",
+    #     "__url__": "v2_SuperWikiFigures/hf_data/chunk_00/wiki_images-0000.tar",
+    #     "jpg": "<PIL.Image.Image image mode=RGB size=566x800 at 0x7FCB939A05E0>",
+    #     "__local_path__": "v2_SuperWikiFigures/hf_data/chunk_00/wiki_images-0000.tar",
+    #     "json": {
+    #         "url": "https://upload.wikimedia.org/wikipedia/commons/f/fe/Liam_Neeson_Deauville_2012_2.jpg",
+    #         "lang": {
+    #             "az": "Liam Nison Oskar Şindler rolu üçün seçilmişdi.",
+    #             "no": "Liam Neeson",
+    #             "es": "Liam Neeson",
+    #             "el": "Λίαμ Νίσον, Α' Ανδρικός Ρόλος",
+    #             "ru": "Актер Лиам Нисон озвучил священника Отца Шона в шестнадцатом сезоне сериала.",
+    #             "pl": "Liam Neeson - odtwórca roli Qui-Gona",
+    #             "kk": "фильмде Оскар Шиндлер рөлін ойнаған Лиам Нисон (2012)",
+    #             "de": "Liam Neeson, Darsteller des Oskar Schindler",
+    #             "bn": "শিন্ডলার্স লিস্ট চলচ্চিত্রের মুখ্য অভিনেতা লিয়াম নিসন",
+    #             "ast": "Liam Neeson (semeya de 2012) interpreta a Oskar Schindler.",
+    #             "id": "Liam Neeson, pemenang Aktor Terbaik",
+    #             "tr": "Liam Neeson (2012 yılındaki fotoğrafı) filmde Oskar Schindler olarak yer alıyor.",
+    #             "pt": "Liam Neeson",
+    #             "it": "Liam Neeson",
+    #             "vi": "Liam Neeson (ảnh năm 2012) thủ vai Oskar Schindler.",
+    #             "cs": "Liam Neeson vítěz v kategorii nejlepší herec",
+    #             "uk": "Ліам Нісон",
+    #             "fi": "Liam Neeson Deau\xadvillen elo\xadkuva\xadfestivaaleilla 2012.",
+    #             "en": "Liam Neeson, Best Animated Voice Performance winner",
+    #             "sv": "Liam Neeson (i bilden från 2012) gjorde rollen som Oskar Schindler i filmen.",
+    #         },
+    #     },
+    # }
+    break
+```
+
+## Licensing
+
+It's complicated. We have retrieved a jsonl including the licenses to the individual images in the pre-pass to the dataset.
+
+The latest time the license was retrieved was `2024-09-28 00:56 UTC`
+
+The dataset includes only the following permitted licenses:
+
+<details>
+<pre>
+permits = [
+    "attribution",
+    "cc by",
+    "cc sa",
+    "cc-by",
+    "cc0",
+    "C0 1.0",
+    "fal",
+    "Nagi BY SA",
+    "No restrictions",
+    "pdm-",
+    "public domain",
+    "Share Alike",
+    "dl-de/by-2-0",
+    "dl-de/zero-2-0",
+    # ...Software licenses?
+    "AGPL",
+    "apache",
+    "APSL",
+    "Artistic 2.0",
+    "bsd",
+    "BSL",
+    "CeCILL",
+    "EPL",
+    "FWL",
+    "GFDL",
+    "gpl",
+    "lgpl",
+    "LPL",
+    "LPPL",
+    "mit",
+    "MPL ",
+    "NetHack GPL",
+    "OFL",
+    "OGL",
+    "OPL 3.0",
+    "OSPL",
+    "PostgreSQL License",
+    "WTFPL",
+    "ZLIB",
+    # Streetmaps
+    "ODbL",
+    "OS OpenData",
+    "Geoportal",
+    "DGA Map",
+    # Data
+    "StatCanOpen",
+    "CDDL",
+    "EdictGov-India",
+    "GODL-India",
+    "KOGL Type 1",
+    "KOGL Type-1",
+    "KoreaGov",
+    "LGACDMX",
+    "Licence Ouverte",
+    "OGDL",
+    "정보공유라이선스 2.0: 허용",
+    # Unsure.
+    "copyrighted free use",
+    "Open data",
+]
+</pre>
+</details>
+
+Images which licenses are unclear, are banknotes or in the following blacklisted licenses are removed.
+
+```
+blacklist = [
+    # "ECB deicsions",
+    # "ECB decisions",
+    "Use permitted by the BOI, Currency Department",
+    "Flora License",
+    "<b>Alice 2 End User License Agreement",
+    "Resolution restricted-by-sa",
+]
+```
+
+Scripts used to process the files have been included. They are similar to the SuperWikiNEXT-32B dataset.
+
+### Dataset Curators
+
+KaraKaraWitch. (I typically hangout in PygmalionAI discord, sometimes EleutherAI and now HF discord. If something is wrong, `@KaraKaraWitch` on discord.)
+
+I'd be happy if you could spread the word and recommend this dataset for your use cases. `:)`
+
+## BibTeX Citation
+
+```tex
+@ONLINE{superwikiimg,
+  title         = {SuperWikiImages},
+  author        = {KaraKaraWitch, recursal.ai},
+  year          = {2024},
+  howpublished  = {\url{<TBD>}},
+}
+
+```
+
+## Recursal's Vision
+
+> To make AI accessible to everyone, regardless of language, or economical status
+
+This is the collective goal of the `RWKV Open Source foundation` and `Recursal AI`, the commercial entity who backs it.
+
+We believe that AI should not be controlled by a select few individual organization. And that it should be made accessible regardless if you are rich or poor, or a native speaker of english.
+
+### About RWKV
+
+RWKV is an Open Source, non profit group, under the linux foundation. Focused on developing the RWKV AI architecture, in accordence to our vision.
+
+The RWKV architecture scales efficiently and economically. As an RNN & Transformer hybrid, it is able to provide the performance similar to leading transformer models, while having the compute and energy efficiency of an RNN based architecture.
+
+You can find out more about the project, and latest models, at the following
+
+- [https://blog.rwkv.com](https://blog.rwkv.com)
+- [https://wiki.rwkv.com](https://wiki.rwkv.com)
+
+
+### About Recursal AI
+
+Recursal AI, is the commercial entity built to provide support for RWKV model development and users, while providing commercial services via its public cloud, or private-cloud / on-premise offerings.
+
+As part of our vision. Our commitment, is to ensure open source development and access to the best foundational AI models and datasets. 
+
+The following dataset/models provided here, is part of that commitment.
+
+You can find out more about recursal AI here
+
+- [https://recursal.ai](https://recursal.ai)
+- [https://blog.recursal.ai](https://blog.recursal.ai)

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