Upload batch 87 (20 files, last=huggingface_dataset/Dataset_Card/tarudesu_ViCTSD.md)

huggingface_dataset/Dataset_Card/0Tick_Danbooru-Random-Posts-Scrape.md

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+---
+license: mit
+language:
+- en
+---
+Just the tags of 118k random posts on [danbooru](danbooru.donmai.us). Used to train the [Danbooru-Tag-Autocomplete](https://huggingface.co/0Tick/e621TagAutocomplete) Model

huggingface_dataset/Dataset_Card/Datatang_Scene_Noise_Data_by_Voice_Recorder.md

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+---
+YAML tags:
+- copy-paste the tags obtained with the tagging app: https://github.com/huggingface/datasets-tagging
+---
+
+# Dataset Card for Datatang/Scene_Noise_Data_by_Voice_Recorder
+
+## Table of Contents
+- [Table of Contents](#table-of-contents)
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+  - [Contributions](#contributions)
+
+## Dataset Description
+
+- **Homepage:** https://bit.ly/3zYDIY3
+- **Repository:**
+- **Paper:**
+- **Leaderboard:**
+- **Point of Contact:**
+
+### Dataset Summary
+
+The data is multi-scene noise data, covering subway, supermarket, restaurant, road, airport, exhibition hall, high-speed rail, highway, city road, cinema and other daily life scenes.The data is recorded by the professional recorder Sony ICD-UX560F, which is collected in a high sampling rate and two-channel format, and the recording is clear and natural. The valid data is 101 hours.
+                           
+For more details, please refer to the link: https://bit.ly/3zYDIY3
+
+### Supported Tasks and Leaderboards
+
+automatic-speech-recognition,noisy-speech-recognition: The dataset can be used to train a model for Automatic Speech Recognition (ASR).
+
+### Languages
+
+Noise Data
+## Dataset Structure
+
+### Data Instances
+
+[More Information Needed]
+
+### Data Fields
+
+[More Information Needed]
+
+### Data Splits
+
+[More Information Needed]
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed]
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed]
+
+#### Who are the source language producers?
+
+[More Information Needed]
+
+### Annotations
+
+#### Annotation process
+
+[More Information Needed]
+
+#### Who are the annotators?
+
+[More Information Needed]
+
+### Personal and Sensitive Information
+
+[More Information Needed]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed]
+
+### Discussion of Biases
+
+[More Information Needed]
+
+### Other Known Limitations
+
+[More Information Needed]
+
+## Additional Information
+
+### Dataset Curators
+
+[More Information Needed]
+
+### Licensing Information
+
+Commerical License: https://drive.google.com/file/d/1saDCPm74D4UWfBL17VbkTsZLGfpOQj1J/view?usp=sharing  
+
+### Citation Information
+
+[More Information Needed]
+
+### Contributions

huggingface_dataset/Dataset_Card/GEM_CACAPO_E2E.md

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+---
+license: cc-by-4.0
+task_categories:
+- text-generation
+language:
+- nl
+- en
+tags:
+- Reverse Engineered
+- Dutch
+- English
+- RDF to sentence
+- For End To End
+pretty_name: Cacapo_E2E
+size_categories:
+- 10K<n<100K
+---
+
+The full dataset card is visible in the JSON file named "original_cacapo_for_e2e_models-02_13_2023_19_30_07", which has been made with GEMs second datacard creation GUI.

huggingface_dataset/Dataset_Card/Kosasih_Global-Art.md

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+---
+license: mit
+---
+Global future artwork new release model data center

huggingface_dataset/Dataset_Card/Nerfgun3_cute_style.md

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+---
+language:
+- en
+tags:
+- stable-diffusion
+- text-to-image
+license: creativeml-openrail-m
+inference: false
+
+---
+
+# Cute Style Embedding / Textual Inversion
+
+## Usage
+To use this embedding you have to download the file aswell as drop it into the "\stable-diffusion-webui\embeddings" folder
+
+This Style doesnt really has a specific theme, it just turns the expression of girls into "cute"
+
+To use it in a prompt: ```"drawn by cute_style"```
+
+If it is to strong just add [] around it.
+
+Trained until 6000 steps
+
+Have fun :)
+
+## Example Pictures
+
+<table>
+  <tr>
+    <td><img src=https://i.imgur.com/vDjSy5c.png width=100% height=100%/></td>
+    <td><img src=https://i.imgur.com/wXBNJNX.png width=100% height=100%/></td>
+    <td><img src=https://i.imgur.com/e3gremJ.png width=100% height=100%/></td>
+    <td><img src=https://i.imgur.com/jpYyj96.png width=100% height=100%/></td>
+    <td><img src=https://i.imgur.com/hUVuj9N.png width=100% height=100%/></td>
+   </tr>
+</table>
+
+## License
+
+This embedding is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage.
+The CreativeML OpenRAIL License specifies: 
+
+1. You can't use the embedding to deliberately produce nor share illegal or harmful outputs or content 
+2. The authors claims no rights on the outputs you generate, you are free to use them and are accountable for their use which must not go against the provisions set in the license
+3. You may re-distribute the weights and use the embedding commercially and/or as a service. If you do, please be aware you have to include the same use restrictions as the ones in the license and share a copy of the CreativeML OpenRAIL-M to all your users (please read the license entirely and carefully)
+[Please read the full license here](https://huggingface.co/spaces/CompVis/stable-diffusion-license)

huggingface_dataset/Dataset_Card/autoevaluate_autoeval-staging-eval-project-09cba8dc-757f-4f7a-8194-174e4439eb99-91.md

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+---
+type: predictions
+tags:
+- autotrain
+- evaluation
+datasets:
+- glue
+eval_info:
+  task: binary_classification
+  model: autoevaluate/binary-classification
+  metrics: ['matthews_correlation']
+  dataset_name: glue
+  dataset_config: sst2
+  dataset_split: validation
+  col_mapping:
+    text: sentence
+    target: label
+---
+# Dataset Card for AutoTrain Evaluator
+
+This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
+
+* Task: Binary Text Classification
+* Model: autoevaluate/binary-classification
+* Dataset: glue
+* Config: sst2
+* Split: validation
+
+To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
+
+## Contributions
+
+Thanks to [@lewtun](https://huggingface.co/lewtun) for evaluating this model.

huggingface_dataset/Dataset_Card/buio_heart-disease.md

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+---
+tags:
+- structured-data
+- tabular-data
+- classification
+---
+
+The [Heart Disease Data Set](https://archive.ics.uci.edu/ml/datasets/heart+Disease) is provided by the Cleveland Clinic Foundation for Heart Disease. It's a CSV file with 303 rows. Each row contains information about a patient (a sample), and each column describes an attribute of the patient (a feature). We use the features to predict whether a patient has a heart disease (binary classification).
+
+It is originally [hosted here]("http://storage.googleapis.com/download.tensorflow.org/data/heart.csv").

huggingface_dataset/Dataset_Card/ccdv_WCEP-10.md

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+---
+language:
+- en
+multilinguality:
+- monolingual
+size_categories:
+- 1K<n<10K
+task_categories:
+- summarization
+- text2text-generation
+task_ids: []
+tags:
+- conditional-text-generation
+---
+
+# WCEP10 dataset for summarization
+
+Summarization dataset copied from [PRIMERA](https://github.com/allenai/PRIMER)
+
+This dataset is compatible with the [`run_summarization.py`](https://github.com/huggingface/transformers/tree/master/examples/pytorch/summarization) script from Transformers if you add this line to the `summarization_name_mapping` variable:
+```python
+"ccdv/WCEP-10": ("document", "summary")
+```
+
+# Configs
+4 possibles configs:
+- `roberta` will concatenate documents with "\</s\>" (default)
+- `newline` will concatenate documents with "\n"
+- `bert` will concatenate documents with "[SEP]"
+- `list` will return the list of documents instead of a string
+
+### Data Fields
+
+- `id`: paper id
+- `document`: a string/list containing the body of a set of documents
+- `summary`: a string containing the abstract of the set
+
+### Data Splits
+
+This dataset has 3 splits: _train_, _validation_, and _test_. \
+
+| Dataset Split | Number of Instances | 
+| ------------- | --------------------|
+| Train         | 8158                |
+| Validation    | 1020                |
+| Test          | 1022                |
+
+
+# Cite original article
+```
+@article{DBLP:journals/corr/abs-2005-10070,
+    author    = {Demian Gholipour Ghalandari and
+                Chris Hokamp and
+                Nghia The Pham and
+                John Glover and
+                Georgiana Ifrim},
+    title     = {A Large-Scale Multi-Document Summarization Dataset from the Wikipedia
+                Current Events Portal},
+    journal   = {CoRR},
+    volume    = {abs/2005.10070},
+    year      = {2020},
+    url       = {https://arxiv.org/abs/2005.10070},
+    eprinttype = {arXiv},
+    eprint    = {2005.10070},
+    timestamp = {Fri, 22 May 2020 16:21:28 +0200},
+    biburl    = {https://dblp.org/rec/journals/corr/abs-2005-10070.bib},
+    bibsource = {dblp computer science bibliography, https://dblp.org}
+    }
+
+@article{DBLP:journals/corr/abs-2110-08499,
+    author    = {Wen Xiao and
+                Iz Beltagy and
+                Giuseppe Carenini and
+                Arman Cohan},
+    title     = {{PRIMER:} Pyramid-based Masked Sentence Pre-training for Multi-document
+                Summarization},
+    journal   = {CoRR},
+    volume    = {abs/2110.08499},
+    year      = {2021},
+    url       = {https://arxiv.org/abs/2110.08499},
+    eprinttype = {arXiv},
+    eprint    = {2110.08499},
+    timestamp = {Fri, 22 Oct 2021 13:33:09 +0200},
+    biburl    = {https://dblp.org/rec/journals/corr/abs-2110-08499.bib},
+    bibsource = {dblp computer science bibliography, https://dblp.org}
+}
+```

huggingface_dataset/Dataset_Card/hansards.md

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+---
+paperswithcode_id: null
+pretty_name: hansards
+dataset_info:
+- config_name: senate
+  features:
+  - name: fr
+    dtype: string
+  - name: en
+    dtype: string
+  splits:
+  - name: test
+    num_bytes: 5711686
+    num_examples: 25553
+  - name: train
+    num_bytes: 40324278
+    num_examples: 182135
+  download_size: 15247360
+  dataset_size: 46035964
+- config_name: house
+  features:
+  - name: fr
+    dtype: string
+  - name: en
+    dtype: string
+  splits:
+  - name: test
+    num_bytes: 22906629
+    num_examples: 122290
+  - name: train
+    num_bytes: 191459584
+    num_examples: 947969
+  download_size: 67584000
+  dataset_size: 214366213
+---
+
+# Dataset Card for "hansards"
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+  - [Contributions](#contributions)
+
+## Dataset Description
+
+- **Homepage:** [https://www.isi.edu/natural-language/download/hansard/](https://www.isi.edu/natural-language/download/hansard/)
+- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+- **Size of downloaded dataset files:** 78.99 MB
+- **Size of the generated dataset:** 248.34 MB
+- **Total amount of disk used:** 327.33 MB
+
+### Dataset Summary
+
+This release contains 1.3 million pairs of aligned text chunks (sentences or smaller fragments)
+from the official records (Hansards) of the 36th Canadian Parliament.
+
+The complete Hansards of the debates in the House and Senate of the 36th Canadian Parliament,
+as far as available, were aligned. The corpus was then split into 5 sets of sentence pairs:
+training (80% of the sentence pairs), two sets of sentence pairs for testing (5% each), and
+two sets of sentence pairs for final evaluation (5% each). The current release consists of the
+training and testing sets. The evaluation sets are reserved for future MT evaluation purposes
+and currently not available.
+
+Caveats
+1. This release contains only sentence pairs. Even though the order of the sentences is the same
+as in the original, there may be gaps resulting from many-to-one, many-to-many, or one-to-many
+alignments that were filtered out. Therefore, this release may not be suitable for
+discourse-related research.
+2. Neither the sentence splitting nor the alignments are perfect. In particular, watch out for
+pairs that differ considerably in length. You may want to filter these out before you do
+any statistical training.
+
+The alignment of the Hansards was performed as part of the ReWrite project under funding
+from the DARPA TIDES program.
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Languages
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+## Dataset Structure
+
+### Data Instances
+
+#### house
+
+- **Size of downloaded dataset files:** 64.45 MB
+- **Size of the generated dataset:** 204.44 MB
+- **Total amount of disk used:** 268.89 MB
+
+An example of 'train' looks as follows.
+```
+{
+    "en": "Mr. Walt Lastewka (Parliamentary Secretary to Minister of Industry, Lib.):",
+    "fr": "M. Walt Lastewka (secrétaire parlementaire du ministre de l'Industrie, Lib.):"
+}
+```
+
+#### senate
+
+- **Size of downloaded dataset files:** 14.54 MB
+- **Size of the generated dataset:** 43.90 MB
+- **Total amount of disk used:** 58.44 MB
+
+An example of 'train' looks as follows.
+```
+{
+    "en": "Mr. Walt Lastewka (Parliamentary Secretary to Minister of Industry, Lib.):",
+    "fr": "M. Walt Lastewka (secrétaire parlementaire du ministre de l'Industrie, Lib.):"
+}
+```
+
+### Data Fields
+
+The data fields are the same among all splits.
+
+#### house
+- `fr`: a `string` feature.
+- `en`: a `string` feature.
+
+#### senate
+- `fr`: a `string` feature.
+- `en`: a `string` feature.
+
+### Data Splits
+
+| name |train | test |
+|------|-----:|-----:|
+|house |947969|122290|
+|senate|182135| 25553|
+
+## 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
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Citation Information
+
+```
+
+```
+
+
+### Contributions
+
+Thanks to [@patrickvonplaten](https://github.com/patrickvonplaten), [@thomwolf](https://github.com/thomwolf), [@albertvillanova](https://github.com/albertvillanova) for adding this dataset.

huggingface_dataset/Dataset_Card/hearmeneigh_e621-rising-v2-raw.md

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+---
+dataset_info:
+  features:
+  - name: id
+    dtype: string
+  - name: image
+    dtype: image
+  - name: text
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 1192520976398.634
+    num_examples: 2905671
+  download_size: 1172100381158
+  dataset_size: 1192520976398.634
+pretty_name: 'E621 Rising: Raw Image Dataset v2'
+size_categories:
+- 1M<n<10M
+viewer: false
+---
+**Warning: THIS dataset is NOT suitable for use by minors. The dataset contains X-rated/NFSW content.**
+
+
+# E621 Rising: Raw Image Dataset v2
+
+**2,905,671** images (~1.1TB) downloaded from `e621.net` with [tags](https://huggingface.co/datasets/hearmeneigh/e621-rising-v2-raw/raw/main/meta/tag-counts.json).
+
+This is a raw, uncurated, and largely unprocessed dataset. You likely want to use the curated version, [available here](https://huggingface.co/datasets/hearmeneigh/e621-rising-v2-curated). This dataset contains all kinds of NFSW material. You have been warned.
+
+## Image Processing
+* Only `jpg` and `png` images were considered
+* Image width and height have been clamped to `(0, 4096]px`; larger images have been resized to meet the limit
+* Alpha channels have been removed
+* All images have been converted to `jpg` format
+* All images have been converted to TrueColor `RGB`
+* All images have been verified to load with `Pillow`
+* Metadata from E621 is [available here](https://huggingface.co/datasets/hearmeneigh/e621-rising-v2-raw/tree/main/meta).
+
+## Tags
+For a comprehensive list of tags and counts, [see here](https://huggingface.co/datasets/hearmeneigh/e621-rising-v2-raw/raw/main/meta/tag-counts.json).
+
+### Changes From E621
+* Symbols have been prefixed with `symbol:`, e.g. `symbol:<3`
+* Aspect ratio has been prefixed with `aspect_ratio:`, e.g. `aspect_ratio:16_9`
+* All categories except `general` have been prefixed with the category name, e.g. `artist:somename`. The categories are:
+  * `artist`
+  * `copyright`
+  * `character`
+  * `species`
+  * `invalid`
+  * `meta`
+  * `lore`
+
+### Additional Tags
+* Image rating
+  * `rating:explicit`
+  * `rating:questionable`
+  * `rating:safe`
+* Image score
+  * `score:above_250`
+  * `score:above_500`
+  * `score:above_1000`
+  * `score:above_1500`
+  * `score:above_2000`
+  * `score:below_250`
+  * `score:below_100`
+  * `score:below_50`
+  * `score:below_25`
+  * `score:below_0`
+* Image favorites
+  * `favorites:above_4000`
+  * `favorites:above_3000`
+  * `favorites:above_2000`
+  * `favorites:above_1000`
+  * `favorites:below_1000`
+  * `favorites:below_500`
+  * `favorites:below_250`
+  * `favorites:below_100`
+  * `favorites:below_50`
+  * `favorites:below_25`

huggingface_dataset/Dataset_Card/huggingartists_ajr.md

@@ -0,0 +1,204 @@
+---
+language:
+- en
+tags:
+- huggingartists
+- lyrics
+---
+
+# Dataset Card for "huggingartists/ajr"
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [How to use](#how-to-use)
+- [Dataset Structure](#dataset-structure)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+- [About](#about)
+
+## Dataset Description
+
+- **Homepage:** [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists)
+- **Repository:** [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists)
+- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+- **Size of the generated dataset:** 0.216409 MB
+
+
+ <div class="inline-flex flex-col" style="line-height: 1.5;">
+    <div class="flex">
+        <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;https://images.genius.com/84cbe6ced3b5398a810e82a9b65cff26.1000x1000x1.png&#39;)">
+        </div>
+    </div>
+    <a href="https://huggingface.co/huggingartists/ajr">
+      <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div>
+    </a>
+    <div style="text-align: center; font-size: 16px; font-weight: 800">AJR</div>
+    <a href="https://genius.com/artists/ajr">
+    	<div style="text-align: center; font-size: 14px;">@ajr</div>
+    </a>
+</div>
+
+### Dataset Summary
+
+ The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.
+ Model is available [here](https://huggingface.co/huggingartists/ajr).
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Languages
+
+en
+
+## How to use
+
+How to load this dataset directly with the datasets library:
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("huggingartists/ajr")
+```
+
+## Dataset Structure
+
+An example of 'train' looks as follows.
+```
+This example was too long and was cropped:
+
+{
+    "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..."
+}
+```
+
+### Data Fields
+
+The data fields are the same among all splits.
+
+- `text`: a `string` feature.
+
+
+### Data Splits
+
+| train |validation|test|
+|------:|---------:|---:|
+|142|         -|   -|
+
+'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:
+
+```python
+from datasets import load_dataset, Dataset, DatasetDict
+import numpy as np
+
+datasets = load_dataset("huggingartists/ajr")
+
+train_percentage = 0.9
+validation_percentage = 0.07
+test_percentage = 0.03
+
+train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])*train_percentage), int(len(datasets['train']['text'])*(train_percentage + validation_percentage))])
+
+datasets = DatasetDict(
+    {
+        'train': Dataset.from_dict({'text': list(train)}),
+        'validation': Dataset.from_dict({'text': list(validation)}),
+        'test': Dataset.from_dict({'text': list(test)})
+    }
+)
+```
+
+## 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
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Citation Information
+
+```
+@InProceedings{huggingartists,
+    author={Aleksey Korshuk}
+    year=2021
+}
+```
+
+
+## About
+
+*Built by Aleksey Korshuk*
+
+[![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk)
+
+[![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk)
+
+[![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky)
+
+For more details, visit the project repository.
+
+[![GitHub stars](https://img.shields.io/github/stars/AlekseyKorshuk/huggingartists?style=social)](https://github.com/AlekseyKorshuk/huggingartists)

huggingface_dataset/Dataset_Card/huggingartists_ariya.md

@@ -0,0 +1,204 @@
+---
+language:
+- en
+tags:
+- huggingartists
+- lyrics
+---
+
+# Dataset Card for "huggingartists/ariya"
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [How to use](#how-to-use)
+- [Dataset Structure](#dataset-structure)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+- [About](#about)
+
+## Dataset Description
+
+- **Homepage:** [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists)
+- **Repository:** [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists)
+- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+- **Size of the generated dataset:** 0.070471 MB
+
+
+ <div class="inline-flex flex-col" style="line-height: 1.5;">
+    <div class="flex">
+        <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;https://images.genius.com/975b03ba317602498bed5321f12caebe.1000x1000x1.jpg&#39;)">
+        </div>
+    </div>
+    <a href="https://huggingface.co/huggingartists/ariya">
+      <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div>
+    </a>
+    <div style="text-align: center; font-size: 16px; font-weight: 800">Ария (Ariya)</div>
+    <a href="https://genius.com/artists/ariya">
+    	<div style="text-align: center; font-size: 14px;">@ariya</div>
+    </a>
+</div>
+
+### Dataset Summary
+
+ The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.
+ Model is available [here](https://huggingface.co/huggingartists/ariya).
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Languages
+
+en
+
+## How to use
+
+How to load this dataset directly with the datasets library:
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("huggingartists/ariya")
+```
+
+## Dataset Structure
+
+An example of 'train' looks as follows.
+```
+This example was too long and was cropped:
+
+{
+    "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..."
+}
+```
+
+### Data Fields
+
+The data fields are the same among all splits.
+
+- `text`: a `string` feature.
+
+
+### Data Splits
+
+| train |validation|test|
+|------:|---------:|---:|
+|22|         -|   -|
+
+'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:
+
+```python
+from datasets import load_dataset, Dataset, DatasetDict
+import numpy as np
+
+datasets = load_dataset("huggingartists/ariya")
+
+train_percentage = 0.9
+validation_percentage = 0.07
+test_percentage = 0.03
+
+train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])*train_percentage), int(len(datasets['train']['text'])*(train_percentage + validation_percentage))])
+
+datasets = DatasetDict(
+    {
+        'train': Dataset.from_dict({'text': list(train)}),
+        'validation': Dataset.from_dict({'text': list(validation)}),
+        'test': Dataset.from_dict({'text': list(test)})
+    }
+)
+```
+
+## 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
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Citation Information
+
+```
+@InProceedings{huggingartists,
+    author={Aleksey Korshuk}
+    year=2021
+}
+```
+
+
+## About
+
+*Built by Aleksey Korshuk*
+
+[![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk)
+
+[![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk)
+
+[![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky)
+
+For more details, visit the project repository.
+
+[![GitHub stars](https://img.shields.io/github/stars/AlekseyKorshuk/huggingartists?style=social)](https://github.com/AlekseyKorshuk/huggingartists)

huggingface_dataset/Dataset_Card/huggingartists_krechet.md

@@ -0,0 +1,204 @@
+---
+language:
+- en
+tags:
+- huggingartists
+- lyrics
+---
+
+# Dataset Card for "huggingartists/krechet"
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [How to use](#how-to-use)
+- [Dataset Structure](#dataset-structure)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+- [About](#about)
+
+## Dataset Description
+
+- **Homepage:** [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists)
+- **Repository:** [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists)
+- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+- **Size of the generated dataset:** 0.03618 MB
+
+
+ <div class="inline-flex flex-col" style="line-height: 1.5;">
+    <div class="flex">
+        <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;https://images.genius.com/61181ccb60b6a0e1e7f8fb8ae2a2ab0a.1000x1000x1.jpg&#39;)">
+        </div>
+    </div>
+    <a href="https://huggingface.co/huggingartists/krechet">
+      <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div>
+    </a>
+    <div style="text-align: center; font-size: 16px; font-weight: 800">Krechet</div>
+    <a href="https://genius.com/artists/krechet">
+    	<div style="text-align: center; font-size: 14px;">@krechet</div>
+    </a>
+</div>
+
+### Dataset Summary
+
+ The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.
+ Model is available [here](https://huggingface.co/huggingartists/krechet).
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Languages
+
+en
+
+## How to use
+
+How to load this dataset directly with the datasets library:
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("huggingartists/krechet")
+```
+
+## Dataset Structure
+
+An example of 'train' looks as follows.
+```
+This example was too long and was cropped:
+
+{
+    "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..."
+}
+```
+
+### Data Fields
+
+The data fields are the same among all splits.
+
+- `text`: a `string` feature.
+
+
+### Data Splits
+
+| train |validation|test|
+|------:|---------:|---:|
+|5|         -|   -|
+
+'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:
+
+```python
+from datasets import load_dataset, Dataset, DatasetDict
+import numpy as np
+
+datasets = load_dataset("huggingartists/krechet")
+
+train_percentage = 0.9
+validation_percentage = 0.07
+test_percentage = 0.03
+
+train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])*train_percentage), int(len(datasets['train']['text'])*(train_percentage + validation_percentage))])
+
+datasets = DatasetDict(
+    {
+        'train': Dataset.from_dict({'text': list(train)}),
+        'validation': Dataset.from_dict({'text': list(validation)}),
+        'test': Dataset.from_dict({'text': list(test)})
+    }
+)
+```
+
+## 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
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Citation Information
+
+```
+@InProceedings{huggingartists,
+    author={Aleksey Korshuk}
+    year=2021
+}
+```
+
+
+## About
+
+*Built by Aleksey Korshuk*
+
+[![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk)
+
+[![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk)
+
+[![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky)
+
+For more details, visit the project repository.
+
+[![GitHub stars](https://img.shields.io/github/stars/AlekseyKorshuk/huggingartists?style=social)](https://github.com/AlekseyKorshuk/huggingartists)

huggingface_dataset/Dataset_Card/huggingartists_selena-gomez.md

@@ -0,0 +1,204 @@
+---
+language:
+- en
+tags:
+- huggingartists
+- lyrics
+---
+
+# Dataset Card for "huggingartists/selena-gomez"
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [How to use](#how-to-use)
+- [Dataset Structure](#dataset-structure)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+- [About](#about)
+
+## Dataset Description
+
+- **Homepage:** [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists)
+- **Repository:** [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists)
+- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+- **Size of the generated dataset:** 0.587236 MB
+
+
+ <div class="inline-flex flex-col" style="line-height: 1.5;">
+    <div class="flex">
+        <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;https://images.genius.com/622e6858ce207990b4eb25cd9cdf8f8c.1000x1000x1.jpg&#39;)">
+        </div>
+    </div>
+    <a href="https://huggingface.co/huggingartists/selena-gomez">
+      <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div>
+    </a>
+    <div style="text-align: center; font-size: 16px; font-weight: 800">Selena Gomez</div>
+    <a href="https://genius.com/artists/selena-gomez">
+    	<div style="text-align: center; font-size: 14px;">@selena-gomez</div>
+    </a>
+</div>
+
+### Dataset Summary
+
+ The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.
+ Model is available [here](https://huggingface.co/huggingartists/selena-gomez).
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Languages
+
+en
+
+## How to use
+
+How to load this dataset directly with the datasets library:
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("huggingartists/selena-gomez")
+```
+
+## Dataset Structure
+
+An example of 'train' looks as follows.
+```
+This example was too long and was cropped:
+
+{
+    "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..."
+}
+```
+
+### Data Fields
+
+The data fields are the same among all splits.
+
+- `text`: a `string` feature.
+
+
+### Data Splits
+
+| train |validation|test|
+|------:|---------:|---:|
+|397|         -|   -|
+
+'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:
+
+```python
+from datasets import load_dataset, Dataset, DatasetDict
+import numpy as np
+
+datasets = load_dataset("huggingartists/selena-gomez")
+
+train_percentage = 0.9
+validation_percentage = 0.07
+test_percentage = 0.03
+
+train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])*train_percentage), int(len(datasets['train']['text'])*(train_percentage + validation_percentage))])
+
+datasets = DatasetDict(
+    {
+        'train': Dataset.from_dict({'text': list(train)}),
+        'validation': Dataset.from_dict({'text': list(validation)}),
+        'test': Dataset.from_dict({'text': list(test)})
+    }
+)
+```
+
+## 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
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Citation Information
+
+```
+@InProceedings{huggingartists,
+    author={Aleksey Korshuk}
+    year=2021
+}
+```
+
+
+## About
+
+*Built by Aleksey Korshuk*
+
+[![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk)
+
+[![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk)
+
+[![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky)
+
+For more details, visit the project repository.
+
+[![GitHub stars](https://img.shields.io/github/stars/AlekseyKorshuk/huggingartists?style=social)](https://github.com/AlekseyKorshuk/huggingartists)

huggingface_dataset/Dataset_Card/jigsaw_unintended_bias.md

@@ -0,0 +1,361 @@
+---
+annotations_creators:
+- crowdsourced
+language_creators:
+- crowdsourced
+language:
+- en
+license:
+- cc0-1.0
+multilinguality:
+- monolingual
+size_categories:
+- 1M<n<10M
+source_datasets:
+- original
+task_categories:
+- text-classification
+task_ids:
+- text-scoring
+pretty_name: Jigsaw Unintended Bias in Toxicity Classification
+tags:
+- toxicity-prediction
+dataset_info:
+  features:
+  - name: target
+    dtype: float32
+  - name: comment_text
+    dtype: string
+  - name: severe_toxicity
+    dtype: float32
+  - name: obscene
+    dtype: float32
+  - name: identity_attack
+    dtype: float32
+  - name: insult
+    dtype: float32
+  - name: threat
+    dtype: float32
+  - name: asian
+    dtype: float32
+  - name: atheist
+    dtype: float32
+  - name: bisexual
+    dtype: float32
+  - name: black
+    dtype: float32
+  - name: buddhist
+    dtype: float32
+  - name: christian
+    dtype: float32
+  - name: female
+    dtype: float32
+  - name: heterosexual
+    dtype: float32
+  - name: hindu
+    dtype: float32
+  - name: homosexual_gay_or_lesbian
+    dtype: float32
+  - name: intellectual_or_learning_disability
+    dtype: float32
+  - name: jewish
+    dtype: float32
+  - name: latino
+    dtype: float32
+  - name: male
+    dtype: float32
+  - name: muslim
+    dtype: float32
+  - name: other_disability
+    dtype: float32
+  - name: other_gender
+    dtype: float32
+  - name: other_race_or_ethnicity
+    dtype: float32
+  - name: other_religion
+    dtype: float32
+  - name: other_sexual_orientation
+    dtype: float32
+  - name: physical_disability
+    dtype: float32
+  - name: psychiatric_or_mental_illness
+    dtype: float32
+  - name: transgender
+    dtype: float32
+  - name: white
+    dtype: float32
+  - name: created_date
+    dtype: string
+  - name: publication_id
+    dtype: int32
+  - name: parent_id
+    dtype: float32
+  - name: article_id
+    dtype: int32
+  - name: rating
+    dtype:
+      class_label:
+        names:
+          '0': rejected
+          '1': approved
+  - name: funny
+    dtype: int32
+  - name: wow
+    dtype: int32
+  - name: sad
+    dtype: int32
+  - name: likes
+    dtype: int32
+  - name: disagree
+    dtype: int32
+  - name: sexual_explicit
+    dtype: float32
+  - name: identity_annotator_count
+    dtype: int32
+  - name: toxicity_annotator_count
+    dtype: int32
+  splits:
+  - name: train
+    num_bytes: 914264058
+    num_examples: 1804874
+  - name: test_private_leaderboard
+    num_bytes: 49188921
+    num_examples: 97320
+  - name: test_public_leaderboard
+    num_bytes: 49442360
+    num_examples: 97320
+  download_size: 0
+  dataset_size: 1012895339
+---
+
+# Dataset Card for Jigsaw Unintended Bias in Toxicity Classification
+
+## Table of Contents
+- [Table of Contents](#table-of-contents)
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+  - [Contributions](#contributions)
+
+## Dataset Description
+
+- **Homepage:** https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification
+- **Repository:**
+- **Paper:**
+- **Leaderboard:** https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/leaderboard
+- **Point of Contact:**
+
+### Dataset Summary
+
+The Jigsaw Unintended Bias in Toxicity Classification dataset comes from the eponymous Kaggle competition.
+
+Please see the original [data](https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/data)
+ description for more information.
+
+### Supported Tasks and Leaderboards
+
+The main target for this dataset is toxicity prediction. Several toxicity subtypes are also available, so the dataset 
+can be used for multi-attribute prediction.
+
+See the original [leaderboard](https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/leaderboard)
+for reference.
+
+### Languages
+
+English
+
+## Dataset Structure
+
+### Data Instances
+
+A data point consists of an id, a comment, the main target, the other toxicity subtypes as well as identity attributes.
+
+For instance, here's the first train example.
+```
+{
+    "article_id": 2006,
+    "asian": NaN,
+    "atheist": NaN,
+    "bisexual": NaN,
+    "black": NaN,
+    "buddhist": NaN,
+    "christian": NaN,
+    "comment_text": "This is so cool. It's like, 'would you want your mother to read this??' Really great idea, well done!",
+    "created_date": "2015-09-29 10:50:41.987077+00",
+    "disagree": 0,
+    "female": NaN,
+    "funny": 0,
+    "heterosexual": NaN,
+    "hindu": NaN,
+    "homosexual_gay_or_lesbian": NaN,
+    "identity_annotator_count": 0,
+    "identity_attack": 0.0,
+    "insult": 0.0,
+    "intellectual_or_learning_disability": NaN,
+    "jewish": NaN,
+    "latino": NaN,
+    "likes": 0,
+    "male": NaN,
+    "muslim": NaN,
+    "obscene": 0.0,
+    "other_disability": NaN,
+    "other_gender": NaN,
+    "other_race_or_ethnicity": NaN,
+    "other_religion": NaN,
+    "other_sexual_orientation": NaN,
+    "parent_id": NaN,
+    "physical_disability": NaN,
+    "psychiatric_or_mental_illness": NaN,
+    "publication_id": 2,
+    "rating": 0,
+    "sad": 0,
+    "severe_toxicity": 0.0,
+    "sexual_explicit": 0.0,
+    "target": 0.0,
+    "threat": 0.0,
+    "toxicity_annotator_count": 4,
+    "transgender": NaN,
+    "white": NaN,
+    "wow": 0
+}
+```
+
+### Data Fields
+
+- `id`: id of the comment
+- `target`: value between 0(non-toxic) and 1(toxic) classifying the comment
+- `comment_text`: the text of the comment
+- `severe_toxicity`: value between 0(non-severe_toxic) and 1(severe_toxic) classifying the comment
+- `obscene`: value between 0(non-obscene) and 1(obscene) classifying the comment
+- `identity_attack`: value between 0(non-identity_hate) or 1(identity_hate) classifying the comment
+- `insult`: value between 0(non-insult) or 1(insult) classifying the comment
+- `threat`: value between 0(non-threat) and 1(threat) classifying the comment
+- For a subset of rows, columns containing whether the comment mentions the entities (they may contain NaNs): 
+  - `male`
+  - `female`
+  - `transgender`
+  - `other_gender`
+  - `heterosexual`
+  - `homosexual_gay_or_lesbian`
+  - `bisexual`
+  - `other_sexual_orientation`
+  - `christian`
+  - `jewish`
+  - `muslim`
+  - `hindu`
+  - `buddhist`
+  - `atheist`
+  - `other_religion`
+  - `black`
+  - `white`
+  - `asian`
+  - `latino`
+  - `other_race_or_ethnicity`
+  - `physical_disability`
+  - `intellectual_or_learning_disability`
+  - `psychiatric_or_mental_illness`
+  - `other_disability`
+- Other metadata related to the source of the comment, such as creation date, publication id, number of likes,
+number of annotators, etc:
+  - `created_date`
+  - `publication_id`
+  - `parent_id`
+  - `article_id`
+  - `rating`
+  - `funny`
+  - `wow`
+  - `sad`
+  - `likes`
+  - `disagree`
+  - `sexual_explicit`
+  - `identity_annotator_count`
+  - `toxicity_annotator_count`
+
+### Data Splits
+
+There are four splits:
+- train: The train dataset as released during the competition. Contains labels and identity information for a 
+subset of rows.
+- test: The train dataset as released during the competition. Does not contain labels nor identity information.
+- test_private_expanded: The private leaderboard test set, including toxicity labels and subgroups. The competition target was a binarized version of the toxicity column, which can be easily reconstructed using a >=0.5 threshold.
+- test_public_expanded: The public leaderboard test set, including toxicity labels and subgroups. The competition target was a binarized version of the toxicity column, which can be easily reconstructed using a >=0.5 threshold.
+
+## Dataset Creation
+
+### Curation Rationale
+
+The dataset was created to help in efforts to identify and curb instances of toxicity online.
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed]
+
+#### Who are the source language producers?
+
+[More Information Needed]
+
+### Annotations
+
+#### Annotation process
+
+[More Information Needed]
+
+#### Who are the annotators?
+
+[More Information Needed]
+
+### Personal and Sensitive Information
+
+[More Information Needed]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed]
+
+### Discussion of Biases
+
+[More Information Needed]
+
+### Other Known Limitations
+
+[More Information Needed]
+
+## Additional Information
+
+### Dataset Curators
+
+[More Information Needed]
+
+### Licensing Information
+
+This dataset is released under CC0, as is the underlying comment text.
+
+### Citation Information
+
+No citation is available for this dataset, though you may link to the [kaggle](https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification) competition
+
+### Contributions
+
+Thanks to [@iwontbecreative](https://github.com/iwontbecreative) for adding this dataset.

huggingface_dataset/Dataset_Card/nlpso_m2m3_fine_tuning_ref_cmbert_iob2.md

@@ -0,0 +1,51 @@
+---
+language:
+- fr
+multilinguality:
+- monolingual
+task_categories:
+- token-classification
+---
+
+# m2m3_fine_tuning_ref_cmbert_iob2
+
+## Introduction
+
+This dataset was used to fine-tuned [Jean-Baptiste/camembert-ner](https://huggingface.co/Jean-Baptiste/camembert-ner) for **nested NER task** using Independant NER layers approach [M1]. 
+It contains Paris trade directories entries from the 19th century.
+
+## Dataset parameters
+
+* Approachrd : M2 and M3
+* Dataset type : ground-truth
+* Tokenizer : [Jean-Baptiste/camembert-ner](https://huggingface.co/Jean-Baptiste/camembert-ner)
+* Tagging format : IOB2
+* Counts : 
+    * Train : 6084
+    * Dev : 676
+    * Test : 1685
+* Associated fine-tuned models :
+    * M2 : [nlpso/m2_joint_label_ref_cmbert_iob2](https://huggingface.co/nlpso/m2_joint_label_ref_cmbert_iob2)
+    * M3 : [nlpso/m3_hierarchical_ner_ref_cmbert_iob2](https://huggingface.co/nlpso/m3_hierarchical_ner_ref_cmbert_iob2)
+    
+## Entity types
+
+Abbreviation|Entity group (level)|Description
+-|-|-
+O |1 & 2|Outside of a named entity
+PER |1|Person or company name
+ACT |1 & 2|Person or company professional activity
+TITREH |2|Military or civil distinction
+DESC |1|Entry full description
+TITREP |2|Professionnal reward
+SPAT |1|Address
+LOC |2|Street name
+CARDINAL |2|Street number
+FT |2|Geographical feature
+
+## How to use this dataset
+
+```python
+from datasets import load_dataset
+
+train_dev_test = load_dataset("nlpso/m2m3_fine_tuning_ref_cmbert_iob2")

huggingface_dataset/Dataset_Card/pmoe7_SP_500_Stocks_Data-ratios_news_price_10_yrs.md

@@ -0,0 +1,17 @@
+Hi folks,
+
+Here is a collection of data I have scraped or aggregated for most of the stocks in the S&P 500, including popular ones like Apple (AAPL).
+
+It has the following data:
+- Daily news articles and sentiments on those articles collected over the last few years.
+- All quarterly stock fundamentals (ratios) for 10-20 years.
+- Stock price data (daily close) over the last 10-20 years.
+
+Use it however you please for PERSONAL USAGE, but if you do leverage it to make some money; just remember me and thank me in your head :)
+
+---
+license: cc-by-nc-4.0
+pretty_name: S&P 500 Data (news, ratios, price)
+size_categories:
+- 100K<n<1M
+---

huggingface_dataset/Dataset_Card/radm_tathagata.md

@@ -0,0 +1,36 @@
+---
+annotations_creators:
+- found
+language:
+- ru
+language_creators:
+- found
+license:
+- apache-2.0
+multilinguality:
+- monolingual
+pretty_name: tathagata
+size_categories:
+- n<1K
+source_datasets:
+- original
+tags:
+- text_generation
+- quotes
+task_categories:
+- text-generation
+task_ids:
+- language-modeling
+---
+# ****Dataset Card for tathagata****
+# **I-Dataset Summary**
+tathagata.txt is a dataset based on summaries of major Buddhist, Hindu and Advaita texts such as:
+- Diamond Sutra
+- Lankavatara Sutra
+- Sri Nisargadatta Maharaj quotes
+- Quotes from the Bhagavad Gita
+
+This dataset was used to train this model https://huggingface.co/radm/rugpt3medium-tathagata
+
+# **II-Languages**
+The texts in the dataset are in Russian (ru).

huggingface_dataset/Dataset_Card/tarudesu_ViCTSD.md

@@ -0,0 +1,37 @@
+---
+task_categories:
+- text-classification
+language:
+- vi
+size_categories:
+- 10K<n<100K
+---
+
+# Constructive and Toxic Speech Detection for Open-domain Social Media Comments in Vietnamese
+This is the official repository for the UIT-ViCTSD dataset from the paper [Constructive and Toxic Speech Detection for Open-domain Social Media Comments in Vietnamese](https://arxiv.org/pdf/2103.10069.pdf), which was accepted at the [IEA/AIE 2021](https://ieaaie2021.wordpress.com/list-of-accepted-papers/).
+
+```
+@InProceedings{nguyen2021victsd,
+author="Nguyen, Luan Thanh and Van Nguyen, Kiet and Nguyen, Ngan Luu-Thuy",
+title="Constructive and Toxic Speech Detection for Open-Domain Social Media Comments in Vietnamese",
+booktitle="Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices",
+year="2021",
+publisher="Springer International Publishing",
+address="Cham",
+pages="572--583"
+}
+```
+
+## Introduction
+
+The rise of social media has led to the increasing of comments on online forums. However, there still exists invalid comments which are not informative for users. Moreover, those comments are also quite toxic and harmful to people. In this paper, we create a dataset for constructive and toxic speech detection, named UIT-ViCTSD (Vietnamese Constructive and Toxic Speech Detection dataset) with 10,000 human-annotated comments. For these tasks, we propose a system for constructive and toxic speech detection with the state-of-the-art transfer learning model in Vietnamese NLP as PhoBERT. With this system, we obtain F1-scores of 78.59% and 59.40% for classifying constructive and toxic comments, respectively. Besides, we implement various baseline models as traditional Machine Learning and Deep Neural Network-Based models to evaluate the dataset. With the results, we can solve several tasks on the online discussions and develop the framework for identifying constructiveness and toxicity of Vietnamese social media comments automatically.
+
+## Dataset
+The ViCTSD dataset is consist of 10,000 human-annotated comments on 10 domains from Vietnamese users' comments on social media.
+
+The dataset is divided into three parts as below:
+1. Train set: 7,000 comments
+2. Valid set: 2,000 comments
+3. Test set: 1,000 comments
+
+Please feel free to contact us by email luannt@uit.edu.vn if you have any further information!

huggingface_dataset/Dataset_Card/wiki40b.md

@@ -0,0 +1,175 @@
+---
+language:
+- en
+paperswithcode_id: wiki-40b
+pretty_name: Wiki-40B
+dataset_info:
+  features:
+  - name: wikidata_id
+    dtype: string
+  - name: text
+    dtype: string
+  - name: version_id
+    dtype: string
+  config_name: en
+  splits:
+  - name: train
+    num_bytes: 9423623904
+    num_examples: 2926536
+  - name: validation
+    num_bytes: 527383016
+    num_examples: 163597
+  - name: test
+    num_bytes: 522219464
+    num_examples: 162274
+  download_size: 0
+  dataset_size: 10473226384
+---
+
+# Dataset Card for "wiki40b"
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+  - [Contributions](#contributions)
+
+## Dataset Description
+
+- **Homepage:** [https://research.google/pubs/pub49029/](https://research.google/pubs/pub49029/)
+- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+- **Size of downloaded dataset files:** 0.00 MB
+- **Size of the generated dataset:** 9988.05 MB
+- **Total amount of disk used:** 9988.05 MB
+
+### Dataset Summary
+
+Clean-up text for 40+ Wikipedia languages editions of pages
+correspond to entities. The datasets have train/dev/test splits per language.
+The dataset is cleaned up by page filtering to remove disambiguation pages,
+redirect pages, deleted pages, and non-entity pages. Each example contains the
+wikidata id of the entity, and the full Wikipedia article after page processing
+that removes non-content sections and structured objects.
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Languages
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+## Dataset Structure
+
+### Data Instances
+
+#### en
+
+- **Size of downloaded dataset files:** 0.00 MB
+- **Size of the generated dataset:** 9988.05 MB
+- **Total amount of disk used:** 9988.05 MB
+
+An example of 'train' looks as follows.
+```
+
+```
+
+### Data Fields
+
+The data fields are the same among all splits.
+
+#### en
+- `wikidata_id`: a `string` feature.
+- `text`: a `string` feature.
+- `version_id`: a `string` feature.
+
+### Data Splits
+
+|name| train |validation| test |
+|----|------:|---------:|-----:|
+|en  |2926536|    163597|162274|
+
+## 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
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Citation Information
+
+```
+
+```
+
+
+### Contributions
+
+Thanks to [@jplu](https://github.com/jplu), [@patrickvonplaten](https://github.com/patrickvonplaten), [@thomwolf](https://github.com/thomwolf), [@albertvillanova](https://github.com/albertvillanova), [@lhoestq](https://github.com/lhoestq) for adding this dataset.