Create README.md

README.md

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+---
+annotations_creators:
+- no-annotation
+language_creators:
+- crowdsourced
+language:
+- en
+license:
+- cc-by-sa-3.0
+- gfdl
+multilinguality:
+- monolingual
+pretty_name: Team-PIXEL/rendered-wikipedia-english
+size_categories:
+- 10M<n<100M
+source_datasets:
+- original
+task_categories:
+- masked-auto-encoding
+- rendered-language-modelling
+task_ids:
+- masked-auto-encoding
+- rendered-language-modeling
+paperswithcode_id: null
+---
+
+# Dataset Card for Team-PIXEL/rendered-wikipedia-english
+
+
+## Dataset Description
+
+- **Homepage:** [https://github.com/xplip/pixel](https://github.com/xplip/pixel)
+- **Repository:** [https://github.com/xplip/pixel](https://github.com/xplip/pixel)
+- **Paper:** [Language Modelling with Pixels](https://arxiv.org/abs/2207.06991)
+- **Point of Contact:** [Phillip Rust](mailto:[email protected])
+- **Size of downloaded dataset files:** 125.66 GB
+- **Size of the generated dataset:** 125.56 GB
+- **Total amount of disk used:** 251.22 GB
+
+### Dataset Summary
+
+This dataset contains the full English Wikipedia from February 1, 2018, rendered into images of 16x8464 resolution.
+
+The original text dataset was built from a [Wikipedia dump](https://dumps.wikimedia.org/). Each example in the original *text* dataset contained the content of one full Wikipedia article with cleaning to strip markdown and unwanted sections (references, etc.). Each *rendered* example contains a subset of one full article. This rendered English Wikipedia was used to train the [PIXEL](https://huggingface.co/Team-PIXEL/pixel-base) model introduced in the paper [Language Modelling with Pixels](https://arxiv.org/abs/2207.06991) by Phillip Rust, Jonas F. Lotz, Emanuele Bugliarello, Elizabeth Salesky, Miryam de Lhoneux, and Desmond Elliott.
+
+The original Wikipedia text dataset was rendered article-by-article into 11.4M examples containing approximately 2B words in total. The dataset is stored as a collection of 338 parquet files.
+
+It was rendered using the script openly available at [https://github.com/xplip/pixel/blob/main/scripts/data/prerendering/prerender_wikipedia.py](https://github.com/xplip/pixel/blob/main/scripts/data/prerendering/prerender_wikipedia.py). The text renderer uses a PyGame backend and a collection of merged Google Noto Sans fonts. The PyGame backend does not support complex text layouts (e.g. ligatures and right-to-left scripts) or emoji, so occurrences of such text in the Wikipedia data have not been rendered accurately.
+Each example consists of a "pixel_values" field which stores a 16x8464 (height, width) grayscale image containing the rendered text, and an integer value "num_patches" which stores how many image patches (when splitting the image into 529 non-overlapping patches of resolution 16x16 pixels) in the associated images contain actual text, i.e. are neither blank (fully white) nor are the fully black end-of-sequence patch.
+
+You can load the dataset as follows:
+
+```python
+from datasets import load_dataset
+
+# Download the full dataset to disk
+load_dataset("Team-PIXEL/rendered-wikipedia-english", split="train")
+
+# Stream the dataset directly from the hub
+load_dataset("Team-PIXEL/rendered-wikipedia-english", split="train", streaming=True)
+```
+
+## Dataset Structure
+
+### Data Instances
+
+- **Size of downloaded dataset files:** 125.66 GB
+- **Size of the generated dataset:** 125.56 GB
+- **Total amount of disk used:** 251.22 GB
+
+An example of 'train' looks as follows.
+```
+{
+    "pixel_values": <PIL.PngImagePlugin.PngImageFile image mode=L size=8464x16
+    "num_patches": "469"
+}
+```
+
+### Data Fields
+
+The data fields are the same among all splits.
+
+- `pixel_values`: an `Image` feature.
+- `num_patches`: a `Value(dtype="int64")` feature.
+
+### Data Splits
+
+|train|
+|:----|
+|11446535|
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+#### Who are the source language producers?
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Annotations
+
+#### Annotation process
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+#### Who are the annotators?
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Personal and Sensitive Information
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Discussion of Biases
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Other Known Limitations
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+## Additional Information
+
+### Dataset Curators
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Licensing Information
+
+Most of Wikipedia's text and many of its images are co-licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License (CC BY-SA) and the GNU Free Documentation License (GFDL) (unversioned, with no invariant sections, front-cover texts, or back-cover texts).
+
+Some text has been imported only under CC BY-SA and CC BY-SA-compatible license and cannot be reused under GFDL; such text will be identified on the page footer, in the page history, or on the discussion page of the article that utilizes the text.
+
+### Citation Information
+
+```bibtex
+@article{rust-etal-2022-pixel,
+  title={Language Modelling with Pixels},
+  author={Phillip Rust and Jonas F. Lotz and Emanuele Bugliarello and Elizabeth Salesky and Miryam de Lhoneux and Desmond Elliott},
+  journal={arXiv preprint},
+  year={2022},
+  url={https://arxiv.org/abs/2207.06991}
+}
+```
+
+
+### Contact Person
+
+This dataset was added by Phillip Rust.
+
+Github: [@xplip](https://github.com/xplip)
+
+Twitter: [@rust_phillip](https://twitter.com/rust_phillip)