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84b6def89e2a005c47b88e66d06b312c4f2880d4 |
# Dataset Card for BioLang
## Table of Contents
- [Dataset Card for [Dataset Name]](#dataset-card-for-dataset-name)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leader... | EMBO/biolang | [
"task_categories:text-generation",
"task_ids:language-modeling",
"annotations_creators:machine-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:n>1M",
"language:en",
"license:cc-by-4.0",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["n>1M"], "source_datasets": [], "task_categories": ["text-generation"], "task_ids": ["language-modeling"]} | 2023-01-11T15:31:53+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #task_ids-language-modeling #annotations_creators-machine-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-n>1M #language-English #license-cc-by-4.0 #region-us
|
# Dataset Card for BioLang
## Table of Contents
- [Dataset Card for [Dataset Name]](#dataset-card-for-dataset-name)
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
... | [
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57e2a4a23b36d518584a1f1266a4d6ad3348b8a5 |
# Dataset Card for sd-nlp
## Table of Contents
- [Dataset Card for [Dataset Name]](#dataset-card-for-dataset-name)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderb... | EMBO/sd-nlp | [
"task_categories:text-classification",
"task_ids:multi-class-classification",
"task_ids:named-entity-recognition",
"task_ids:parsing",
"annotations_creators:expert-generated",
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"multilinguality:monolingual",
"size_categories:10K<n<100K",
"language:en",
"license... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": [], "task_categories": ["text-classification", "structure-prediction", "text-classification"],... | 2022-10-21T14:34:09+00:00 | [] | [
"en"
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#task_categories-text-classification #task_ids-multi-class-classification #task_ids-named-entity-recognition #task_ids-parsing #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-10K<n<100K #language-English #license-cc-by-4.0 #region-us
|
# Dataset Card for sd-nlp
## Table of Contents
- [Dataset Card for [Dataset Name]](#dataset-card-for-dataset-name)
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
... | [
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e74389b1a35970f7fe695080919cf801d90e54cd | # AutoNLP Dataset for project: pos-tag-bosque
## Table of content
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
## Dataset Descritpion
This dat... | Emanuel/UD_Portuguese-Bosque | [
"language:pt",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language": ["pt"]} | 2022-10-25T07:54:18+00:00 | [] | [
"pt"
] | TAGS
#language-Portuguese #region-us
| AutoNLP Dataset for project: pos-tag-bosque
===========================================
Table of content
----------------
* Dataset Description
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
Dataset Descritpion
-------------------
This dataset has been automatically processed b... | [
"### Languages\n\n\nThe BCP-47 code for the dataset's language is pt.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):",
"### Dataset Splits\n\n\nThis da... | [
"TAGS\n#language-Portuguese #region-us \n",
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"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the following fields (also called \"fea... | [
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cbc67fdf71a5181de1aae304d98335276f236144 |
# Wiki Entity Similarity
Usage:
```py
from datasets import load_dataset
corpus = load_dataset('Exr0n/wiki-entity-similarity', '2018thresh20corpus', split='train')
assert corpus[0] == {'article': 'A1000 road', 'link_text': 'A1000', 'is_same': 1}
pairs = load_dataset('Exr0n/wiki-entity-similarity', '2018thresh20pairs... | Exr0n/wiki-entity-similarity | [
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10M<n<100M",
"source_datasets:original",
"language:en",
"license:mit",
"named entities",
"similarity",
"paraphrasing",
"synonyms",
"wikipedia",
"arxiv:2004.04906",
"arxiv:2202.13581",
... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["10M<n<100M"], "source_datasets": ["original"], "task_categories": [], "task_ids": [], "pretty_name": "Wiki Entity Similarity\n", "tags": ["named entities",... | 2022-08-19T17:51:04+00:00 | [
"2004.04906",
"2202.13581"
] | [
"en"
] | TAGS
#annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-10M<n<100M #source_datasets-original #language-English #license-mit #named entities #similarity #paraphrasing #synonyms #wikipedia #arxiv-2004.04906 #arxiv-2202.13581 #region-us
| Wiki Entity Similarity
======================
Usage:
Corpus ('name=\*corpus')
------------------------
The corpora in this are generated by aggregating the link text that refers to various articles in context. For instance, if wiki article A refers to article B as C, then C is added to the list of aliases for art... | [
"### Training Data Generation\n\n\nThe training pairs in this dataset are generated by taking each example from the corpus as a positive example, and creating a new negative example from the article title of the positive example and a random link text from a different article.\n\n\nThe articles featured in each spl... | [
"TAGS\n#annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-10M<n<100M #source_datasets-original #language-English #license-mit #named entities #similarity #paraphrasing #synonyms #wikipedia #arxiv-2004.04906 #arxiv-2202.13581 #region-us \n",
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1d89c0235a300f314ddb4fd33d779d57eb24b63c | # Dataset Card for FIG-Loneliness
## 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-str... | FIG-Loneliness/FIG-Loneliness | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-07-14T22:14:43+00:00 | [] | [] | TAGS
#region-us
| Dataset Card for FIG-Loneliness
===============================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationa... | [
"### Dataset Summary\n\n\nFIG-Loneliness is a dataset for fine-grained loneliness characterization and model training. This dataset consists of 2633 lonely and 3000 non-lonely Reddit posts annotated by trained human annotators. For the lonely posts, we provide fine-grained category labels for the forms of lonelines... | [
"TAGS\n#region-us \n",
"### Dataset Summary\n\n\nFIG-Loneliness is a dataset for fine-grained loneliness characterization and model training. This dataset consists of 2633 lonely and 3000 non-lonely Reddit posts annotated by trained human annotators. For the lonely posts, we provide fine-grained category labels f... | [
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"passage: TAGS\n#region-us \n### Dataset Summary\n\n\nFIG-Loneliness is a dataset for fine-grained loneliness characterization and model training. This dataset consists of 2633 lonely and 3000 non-lonely Reddit posts annotated by trained human annotators. For the lonely posts, we provide fine-grained category label... |
a8e3cae5b222602746835ca60d9542ac1b42fc43 |
# Dataset Card for quoteli3
## Dataset Description
- **Homepage:** https://nlp.stanford.edu/~muzny/quoteli.html
- **Repository:** https://nlp.stanford.edu/~muzny/quoteli.html
- **Paper:** Muzny, Grace, et al. "A two-stage sieve approach for quote attribution." Proceedings of the 15th Conference of the European Chapt... | Felix-ML/quoteli3 | [
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"language:en",
"license:cc-by-4.0",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": []} | 2022-10-25T07:54:20+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #size_categories-1K<n<10K #language-English #license-cc-by-4.0 #region-us
|
# Dataset Card for quoteli3
## Dataset Description
- Homepage: URL
- Repository: URL
- Paper: Muzny, Grace, et al. "A two-stage sieve approach for quote attribution." Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers. 2017.
### Dataset... | [
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995422a2cfafdaf9a5340a94aff16e7efe5b7846 |
# Dataset Card for mC4 Finnish Cleaned
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Da... | Finnish-NLP/mc4_fi_cleaned | [
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"source_datasets:extended|mc4",
"language:fi",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["fi"], "license": [], "multilinguality": ["monolingual"], "size_categories": ["unknown"], "source_datasets": ["extended|mc4"], "task_categories": ["text-generation", "fill-mask"], "task_ids": ["language-modeling", "masked-language-modeling"], "pretty_na... | 2022-10-21T15:57:34+00:00 | [] | [
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|
# Dataset Card for mC4 Finnish Cleaned
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal and Sensitive Informatio... | [
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6ae265697cb5e7d7bde15a79a51a25bae9b92758 | # Dataset Card for HumAID
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#da... | Firoj/HumAID | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-05-18T03:45:03+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for HumAID
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal and Sensitive Information
- Considerat... | [
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"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotations\n - ... | [
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79f97a8d8943cabb0127b0e97d6c25afdb6887fb | MNIST dataset adapted to a text-based representation.
This allows testing interpolation quality for Transformer-VAEs.
System is heavily inspired by Matthew Rayfield's work https://youtu.be/Z9K3cwSL6uM
Works by quantising each MNIST pixel into one of 64 characters.
Every sample has an up & down version to encourage t... | Fraser/mnist-text-default | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-02-22T10:48:20+00:00 | [] | [] | TAGS
#region-us
| MNIST dataset adapted to a text-based representation.
This allows testing interpolation quality for Transformer-VAEs.
System is heavily inspired by Matthew Rayfield's work URL
Works by quantising each MNIST pixel into one of 64 characters.
Every sample has an up & down version to encourage the model to learn rotatio... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
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da9c9262c1b62f55a948a194cba107448a7575c1 | MNIST dataset adapted to a text-based representation.
Modified images to be ~1/4 the original area.
Done by taking a max pool.
This allows testing interpolation quality for Transformer-VAEs.
System is heavily inspired by Matthew Rayfield's work https://youtu.be/Z9K3cwSL6uM
Works by quantising each MNIST pixel into ... | Fraser/mnist-text-small | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-02-22T10:21:37+00:00 | [] | [] | TAGS
#region-us
| MNIST dataset adapted to a text-based representation.
Modified images to be ~1/4 the original area.
Done by taking a max pool.
This allows testing interpolation quality for Transformer-VAEs.
System is heavily inspired by Matthew Rayfield's work URL
Works by quantising each MNIST pixel into one of 64 characters.
Eve... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
cd3a8930eecb7ea8d01fabd09353e70121223176 | # Program Synthesis Data
Generated program synthesis datasets used to train [dreamcoder](https://github.com/ellisk42/ec).
Currently just supports text & list data.
| Fraser/dream-coder | [
"language:en",
"license:mit",
"program-synthesis",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language": ["en"], "license": "mit", "thumbnail": "https://huggingface.co/datasets/Fraser/dream-coder/resolve/main/img.png", "tags": ["program-synthesis"], "datasets": ["program-synthesis"]} | 2022-04-25T09:49:02+00:00 | [] | [
"en"
] | TAGS
#language-English #license-mit #program-synthesis #region-us
| # Program Synthesis Data
Generated program synthesis datasets used to train dreamcoder.
Currently just supports text & list data.
![](URL
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] |
c1dd899291e00d83b4eecc9b1e02ae64b809ee2c | Dataset of single lines of Python code taken from the [CodeSearchNet](https://github.com/github/CodeSearchNet) dataset.
Context
This dataset allows checking the validity of Variational-Autoencoder latent spaces by testing what percentage of random/intermediate latent points can be greedily decoded into valid Python c... | Fraser/python-lines | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-02-22T10:20:34+00:00 | [] | [] | TAGS
#region-us
| Dataset of single lines of Python code taken from the CodeSearchNet dataset.
Context
This dataset allows checking the validity of Variational-Autoencoder latent spaces by testing what percentage of random/intermediate latent points can be greedily decoded into valid Python code.
Content
Each row has a parsable line... | [] | [
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ef06b5d8cf560595e3812cff361f8c9be35714cd |
# Python State Changes
State changes from the execution of single lines of Python code.
All code was taken from Python HackerRank solutions.
Scraped from my dataset of traced HackerRank solutions. https://www.kaggle.com/frasergreenlee/ran-hackerrank-solutions
```json
{"start": "g = 100; i = 1; l = [100, 100, 0, 0, ... | Fraser/python-state-changes | [
"language:code",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language": ["code"]} | 2022-10-11T16:04:35+00:00 | [] | [
"code"
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#language-code #region-us
|
# Python State Changes
State changes from the execution of single lines of Python code.
All code was taken from Python HackerRank solutions.
Scraped from my dataset of traced HackerRank solutions. URL
## Get an overview of the dataset from seeing the frequency of different ASTs.
URL | [
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114769d1463bf9e45744be2b729b39dd06ded2c1 | Copy of [Kaggle dataset](https://www.kaggle.com/abhinavmoudgil95/short-jokes), adding to Huggingface for ease of use.
Description from Kaggle:
Context
Generating humor is a complex task in the domain of machine learning, and it requires the models to understand the deep semantic meaning of a joke in order to generat... | Fraser/short-jokes | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-02-24T08:31:31+00:00 | [] | [] | TAGS
#region-us
| Copy of Kaggle dataset, adding to Huggingface for ease of use.
Description from Kaggle:
Context
Generating humor is a complex task in the domain of machine learning, and it requires the models to understand the deep semantic meaning of a joke in order to generate new ones. Such problems, however, are difficult to so... | [] | [
"TAGS\n#region-us \n"
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7e4b5aadfd65fc31b5b0dd50f94f0857e040f0b1 | # Wiki Sentences
A dataset of all english sentences in Wikipedia.
Taken from the OPTIMUS project. https://github.com/ChunyuanLI/Optimus/blob/master/download_datasets.md
The dataset is 11.8GB so best to load it using streaming:
```python
from datasets import load_dataset
dataset = load_dataset("Fraser/wiki_sentences... | Fraser/wiki_sentences | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-07-21T06:43:08+00:00 | [] | [] | TAGS
#region-us
| # Wiki Sentences
A dataset of all english sentences in Wikipedia.
Taken from the OPTIMUS project. URL
The dataset is 11.8GB so best to load it using streaming:
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8fbd9eb015c80542700c19c2e0d8ee023f8431f5 |
# Dataset Card for GEM/ART
## Dataset Description
- **Homepage:** http://abductivecommonsense.xyz/
- **Repository:** https://storage.googleapis.com/ai2-mosaic/public/abductive-commonsense-reasoning-iclr2020/anlg.zip
- **Paper:** https://openreview.net/pdf?id=Byg1v1HKDB
- **Leaderboard:** N/A
- **Point of Contact:** ... | GEM/ART | [
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"reasoning",
"arxiv:1908.05739",
"arxiv:1906.05317",
"region:us"
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|
# Dataset Card for GEM/ART
## Dataset Description
- Homepage: URL
- Repository: URL
- Paper: URL
- Leaderboard: N/A
- Point of Contact: Chandra Bhagavatulla
### Link to Main Data Card
You can find the main data card on the GEM Website.
### Dataset Summary
Abductive reasoning is inference to the most plausible e... | [
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# Dataset Card for GEM/BiSECT
## Dataset Description
- **Homepage:** https://github.com/mounicam/BiSECT
- **Repository:** https://github.com/mounicam/BiSECT/tree/main/bisect
- **Paper:** https://aclanthology.org/2021.emnlp-main.500/
- **Leaderboard:** N/A
- **Point of Contact:** Joongwon Kim, Mounica Maddela, Reno K... | GEM/BiSECT | [
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"language:es",
"license:other",
"region:us"
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|
# Dataset Card for GEM/BiSECT
## Dataset Description
- Homepage: URL
- Repository: URL
- Paper: URL
- Leaderboard: N/A
- Point of Contact: Joongwon Kim, Mounica Maddela, Reno Kriz
### Link to Main Data Card
You can find the main data card on the GEM Website.
### Dataset Summary
This dataset is composed of 1 mil... | [
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0c6f57946a15c70c44b28b81ae5fad9558abae01 |
# Dataset Card for GEM/CrossWOZ
## Dataset Description
- **Homepage:** https://github.com/thu-coai/CrossWOZ
- **Repository:** https://github.com/thu-coai/CrossWOZ
- **Paper:** https://aclanthology.org/2020.tacl-1.19
- **Leaderboard:** N/A
- **Point of Contact:** Qi Zhu
### Link to Main Data Card
You can find the m... | GEM/CrossWOZ | [
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"license:apache-2.0",
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| Dataset Card for GEM/CrossWOZ
=============================
Dataset Description
-------------------
* Homepage: URL
* Repository: URL
* Paper: URL
* Leaderboard: N/A
* Point of Contact: Qi Zhu
### Link to Main Data Card
You can find the main data card on the GEM Website.
### Dataset Summary
CrossWOZ is a Ch... | [
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a31c7e3152cc0e15151549bf4f09d5a3438093ed |
# Dataset Card for GEM/OrangeSum
## Dataset Description
- **Homepage:** [Needs More Information]
- **Repository:** https://github.com/Tixierae/OrangeSum
- **Paper:** https://aclanthology.org/2021.emnlp-main.740
- **Leaderboard:** N/A
- **Point of Contact:** [Needs More Information]
### Link to Main Data Card
You c... | GEM/OrangeSum | [
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"language_creators:unknown",
"multilinguality:unknown",
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] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["unknown"], "language_creators": ["unknown"], "language": ["fr"], "license": ["other"], "multilinguality": ["unknown"], "size_categories": ["unknown"], "source_datasets": ["original"], "task_categories": ["summarization"], "task_ids": ["unknown"], "pretty_name": "OrangeSum"} | 2022-09-03T17:26:49+00:00 | [] | [
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|
# Dataset Card for GEM/OrangeSum
## Dataset Description
- Homepage:
- Repository: URL
- Paper: URL
- Leaderboard: N/A
- Point of Contact:
### Link to Main Data Card
You can find the main data card on the GEM Website.
### Dataset Summary
OrangeSum is a French summarization dataset inspired by XSum. It features... | [
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d9287b21928a811281a349655655ee4be964292a |
# Dataset Card for GEM/RiSAWOZ
## Dataset Description
- **Homepage:** https://terryqj0107.github.io/RiSAWOZ_webpage
- **Repository:** https://github.com/terryqj0107/RiSAWOZ
- **Paper:** https://aclanthology.org/2020.emnlp-main.67
- **Leaderboard:** N/A
- **Point of Contact:** Deyi Xiong
### Link to Main Data Card
... | GEM/RiSAWOZ | [
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|
# Dataset Card for GEM/RiSAWOZ
## Dataset Description
- Homepage: URL
- Repository: URL
- Paper: URL
- Leaderboard: N/A
- Point of Contact: Deyi Xiong
### Link to Main Data Card
You can find the main data card on the GEM Website.
### Dataset Summary
RiSAWOZ is a Chinese dialog dataset. It can be used to study v... | [
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# Dataset Card for GEM/RotoWire_English-German
## Dataset Description
- **Homepage:** https://sites.google.com/view/wngt19/dgt-task
- **Repository:** https://github.com/neulab/dgt
- **Paper:** https://www.aclweb.org/anthology/D19-5601/
- **Leaderboard:** N/A
- **Point of Contact:** Hiroaki Hayashi
### Link to Main ... | GEM/RotoWire_English-German | [
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|
# Dataset Card for GEM/RotoWire_English-German
## Dataset Description
- Homepage: URL
- Repository: URL
- Paper: URL
- Leaderboard: N/A
- Point of Contact: Hiroaki Hayashi
### Link to Main Data Card
You can find the main data card on the GEM Website.
### Dataset Summary
This dataset is a data-to-text dataset in... | [
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# Dataset Card for GEM/SIMPITIKI
## Dataset Description
- **Homepage:** https://github.com/dhfbk/simpitiki
- **Repository:** https://github.com/dhfbk/simpitiki/tree/master/corpus
- **Paper:** http://ceur-ws.org/Vol-1749/paper52.pdf
- **Leaderboard:** N/A
- **Point of Contact:** Sara Tonelli
### Link to Main Data Ca... | GEM/SIMPITIKI | [
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|
# Dataset Card for GEM/SIMPITIKI
## Dataset Description
- Homepage: URL
- Repository: URL
- Paper: URL
- Leaderboard: N/A
- Point of Contact: Sara Tonelli
### Link to Main Data Card
You can find the main data card on the GEM Website.
### Dataset Summary
SIMPITIKI is an Italian Simplification dataset. Its exampl... | [
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# Dataset Card for GEM/SciDuet
## Dataset Description
- **Homepage:** https://huggingface.co/datasets/GEM/SciDuet
- **Repository:** https://github.com/IBM/document2slides/tree/main/SciDuet-ACL
- **Paper:** https://aclanthology.org/2021.naacl-main.111/
- **Leaderboard:** N/A
- **Point of Contact:** N/A
### Link to M... | GEM/SciDuet | [
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# Dataset Card for GEM/SciDuet
## Dataset Description
- Homepage: URL
- Repository: URL
- Paper: URL
- Leaderboard: N/A
- Point of Contact: N/A
### Link to Main Data Card
You can find the main data card on the GEM Website.
### Dataset Summary
This dataset supports the document-to-slide generation task where a m... | [
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# Dataset Card for GEM/Taskmaster
## Dataset Description
- **Homepage:** https://github.com/google-research-datasets/Taskmaster/tree/master/TM-3-2020
- **Repository:** https://github.com/google-research-datasets/Taskmaster/tree/master/TM-3-2020
- **Paper:** https://arxiv.org/abs/2012.12458
- **Leaderboard:** N/A
- *... | GEM/Taskmaster | [
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# Dataset Card for GEM/Taskmaster
## Dataset Description
- Homepage: URL
- Repository: URL
- Paper: URL
- Leaderboard: N/A
- Point of Contact: Karthik Krishnamoorthi
### Link to Main Data Card
You can find the main data card on the GEM Website.
### Dataset Summary
This is a large task-oriented dialog dataset in... | [
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# Dataset Card for GEM/cochrane-simplification
## Dataset Description
- **Homepage:** https://github.com/AshOlogn/Paragraph-level-Simplification-of-Medical-Texts
- **Repository:** https://github.com/AshOlogn/Paragraph-level-Simplification-of-Medical-Texts
- **Paper:** https://aclanthology.org/2021.naacl-main.395/
- ... | GEM/cochrane-simplification | [
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|
# Dataset Card for GEM/cochrane-simplification
## Dataset Description
- Homepage: URL
- Repository: URL
- Paper: URL
- Leaderboard: N/A
- Point of Contact: Ashwin Devaraj
### Link to Main Data Card
You can find the main data card on the GEM Website.
### Dataset Summary
Cochrane is an English dataset for paragra... | [
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# Dataset Card for GEM/common_gen
## Dataset Description
- **Homepage:** https://inklab.usc.edu/CommonGen/
- **Repository:** https://github.com/INK-USC/CommonGen
- **Paper:** https://aclanthology.org/2020.findings-emnlp.165
- **Leaderboard:** https://inklab.usc.edu/CommonGen/leaderboard.html
- **Point of Contact:** ... | GEM/common_gen | [
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| Dataset Card for GEM/common\_gen
================================
Dataset Description
-------------------
* Homepage: URL
* Repository: URL
* Paper: URL
* Leaderboard: URL
* Point of Contact: Bill Yuchen Lin
### Link to Main Data Card
You can find the main data card on the GEM Website.
### Dataset Summary
C... | [
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# Dataset Card for GEM/conversational_weather
## Dataset Description
- **Homepage:** [Needs More Information]
- **Repository:** https://github.com/facebookresearch/TreeNLG
- **Paper:** https://aclanthology.org/P19-1080
- **Leaderboard:** N/A
- **Point of Contact:** Kartikeya Upasani
### Link to Main Data Card
You ... | GEM/conversational_weather | [
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# Dataset Card for GEM/conversational_weather
## Dataset Description
- Homepage:
- Repository: URL
- Paper: URL
- Leaderboard: N/A
- Point of Contact: Kartikeya Upasani
### Link to Main Data Card
You can find the main data card on the GEM Website.
### Dataset Summary
The purpose of this dataset is to assess ho... | [
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# Dataset Card for GEM/cs_restaurants
## Dataset Description
- **Homepage:** n/a
- **Repository:** https://github.com/UFAL-DSG/cs_restaurant_dataset
- **Paper:** https://aclanthology.org/W19-8670/
- **Leaderboard:** N/A
- **Point of Contact:** Ondrej Dusek
### Link to Main Data Card
You can find the main data card... | GEM/cs_restaurants | [
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| Dataset Card for GEM/cs\_restaurants
====================================
Dataset Description
-------------------
* Homepage: n/a
* Repository: URL
* Paper: URL
* Leaderboard: N/A
* Point of Contact: Ondrej Dusek
### Link to Main Data Card
You can find the main data card on the GEM Website.
### Dataset Summar... | [
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# Dataset Card for GEM/dart
## Dataset Description
- **Homepage:** n/a
- **Repository:** https://github.com/Yale-LILY/dart
- **Paper:** https://aclanthology.org/2021.naacl-main.37/
- **Leaderboard:** https://github.com/Yale-LILY/dart#leaderboard
- **Point of Contact:** Dragomir Radev, Rui Zhang, Nazneen Rajani
### ... | GEM/dart | [
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# Dataset Card for GEM/dart
## Dataset Description
- Homepage: n/a
- Repository: URL
- Paper: URL
- Leaderboard: URL
- Point of Contact: Dragomir Radev, Rui Zhang, Nazneen Rajani
### Link to Main Data Card
You can find the main data card on the GEM Website.
### Dataset Summary
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# Dataset Card for GEM/dstc10_track2_task2
## Dataset Description
- **Homepage:** https://github.com/alexa/alexa-with-dstc10-track2-dataset
- **Repository:** https://github.com/alexa/alexa-with-dstc10-track2-dataset
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# Dataset Card for GEM/dstc10_track2_task2
## Dataset Description
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# Dataset Card for GEM/e2e_nlg
## Dataset Description
- **Homepage:** http://www.macs.hw.ac.uk/InteractionLab/E2E/
- **Repository:** https://github.com/tuetschek/e2e-cleaning
- **Paper:** https://www.aclweb.org/anthology/W17-5525/, [Detailed E2E Challenge writeup
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| Dataset Card for GEM/e2e\_nlg
=============================
Dataset Description
-------------------
* Homepage: URL
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* Point of Contact: Ondrej Dusek
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# Dataset Card for GEM/indonlg
## Dataset Description
- **Homepage:** https://github.com/indobenchmark/indonlg
- **Repository:** https://github.com/indobenchmark/indonlg
- **Paper:** https://aclanthology.org/2021.emnlp-main.699
- **Leaderboard:** N/A
- **Point of Contact:** Genta Indra Winata
### Link to Main Data ... | GEM/indonlg | [
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### Link to Main Data Card
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# Dataset Card for GEM/mlb_data_to_text
## Dataset Description
- **Homepage:** https://github.com/ratishsp/mlb-data-scripts
- **Repository:** https://github.com/ratishsp/mlb-data-scripts
- **Paper:** https://aclanthology.org/P19-1195
- **Leaderboard:** N/A
- **Point of Contact:** Ratish Puduppully
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# Dataset Card for GEM/mlb_data_to_text
## Dataset Description
- Homepage: URL
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- Paper: URL
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- Point of Contact: Ratish Puduppully
### Link to Main Data Card
You can find the main data card on the GEM Website.
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# Dataset Card for GEM/mlsum
## Dataset Description
- **Homepage:** N/A
- **Repository:** https://gitlab.lip6.fr/scialom/mlsum_data/-/tree/master/MLSUM
- **Paper:** https://aclanthology.org/2020.emnlp-main.647/
- **Leaderboard:** N/A
- **Point of Contact:** Thomas Scialom
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| Dataset Card for GEM/mlsum
==========================
Dataset Description
-------------------
* Homepage: N/A
* Repository: URL
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# Dataset Card for GEM/opusparcus
## Dataset Description
- **Homepage:** http://urn.fi/urn:nbn:fi:lb-2018021221
- **Repository:** http://urn.fi/urn:nbn:fi:lb-2018021221
- **Paper:** http://www.lrec-conf.org/proceedings/lrec2018/pdf/131.pdf
- **Leaderboard:** N/A
- **Point of Contact:** Mathias Creutz
### Link to Ma... | GEM/opusparcus | [
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===============================
Dataset Description
-------------------
* Homepage: URL
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* Point of Contact: Mathias Creutz
### Link to Main Data Card
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97e4c5cebd637f24fa1319b5fbea008b8bd7f04b | # GEM References
## What is it?
This repository contains all the reference datasets that are used for running evaluation on the GEM benchmark. Some of these datasets were originally hosted as a [GitHub release](https://github.com/GEM-benchmark/GEM-metrics/releases) on the [`GEM-metrics`](https://github.com/GEM-benchm... | GEM/references | [
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#region-us
| # GEM References
## What is it?
This repository contains all the reference datasets that are used for running evaluation on the GEM benchmark. Some of these datasets were originally hosted as a GitHub release on the 'GEM-metrics' repository, but have been migrated to the Hugging Face Hub.
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# Dataset Card for GEM/schema_guided_dialog
## Dataset Description
- **Homepage:** n/a
- **Repository:** [Github[(https://github.com/google-research-datasets/dstc8-schema-guided-dialogue)
- **Paper:** https://arxiv.org/abs/1909.05855
- **Leaderboard:** N/A
- **Point of Contact:** Abhinav Rastogi
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| Dataset Card for GEM/schema\_guided\_dialog
===========================================
Dataset Description
-------------------
* Homepage: n/a
* Repository: Github[(URL
* Paper: URL
* Leaderboard: N/A
* Point of Contact: Abhinav Rastogi
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# Dataset Card for GEM/sportsett_basketball
## Dataset Description
- **Homepage:** https://github.com/nlgcat/sport_sett_basketball
- **Repository:** https://github.com/nlgcat/sport_sett_basketball
- **Paper:** https://aclanthology.org/2020.intellang-1.4/
- **Leaderboard:** N/A
- **Point of Contact:** Craig Thomson
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# Dataset Card for GEM/sportsett_basketball
## Dataset Description
- Homepage: URL
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### Link to Main Data Card
You can find the main data card on the GEM Website.
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# Dataset Card for GEM/squad_v2
## Dataset Description
- **Homepage:** https://rajpurkar.github.io/SQuAD-explorer/
- **Repository:** https://rajpurkar.github.io/SQuAD-explorer/
- **Paper:** https://arxiv.org/abs/1806.03822v1
- **Leaderboard:** https://rajpurkar.github.io/SQuAD-explorer/
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| Dataset Card for GEM/squad\_v2
==============================
Dataset Description
-------------------
* Homepage: URL
* Repository: URL
* Paper: URL
* Leaderboard: URL
* Point of Contact: Robin Jia
### Link to Main Data Card
You can find the main data card on the GEM Website.
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# Dataset Card for GEM/surface_realisation_st_2020
## Dataset Description
- **Homepage:** http://taln.upf.edu/pages/msr2020-ws/SRST.html#data
- **Repository:** https://sites.google.com/site/genchalrepository/surface-realisation/sr-20-multilingual
- **Paper:** https://aclanthology.org/2020.msr-1.1/
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# Dataset Card for GEM/totto
## Dataset Description
- **Homepage:** n/a
- **Repository:** https://github.com/google-research-datasets/totto + [ToTTo Supplementary Repo
- **Paper:** https://aclanthology.org/2020.emnlp-main.89
- **Leaderboard:** https://github.com/google-research-datasets/totto
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| Dataset Card for GEM/totto
==========================
Dataset Description
-------------------
* Homepage: n/a
* Repository: URL + ToTTo Supplementary Repo
* Paper: URL
* Leaderboard: URL
* Point of Contact: Ankur Parikh
### Link to Main Data Card
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# Dataset Card for GEM/turku_hockey_data2text
## Dataset Description
- **Homepage:** https://turkunlp.org/hockey_data2text.html
- **Repository:** https://github.com/TurkuNLP/Turku-hockey-data2text
- **Paper:** https://aclanthology.org/W19-6125/
- **Leaderboard:** N/A
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# Dataset Card for GEM/turku_hockey_data2text
## Dataset Description
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### Link to Main Data Card
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# Dataset Card for GEM/turku_paraphrase_corpus
## Dataset Description
- **Homepage:** https://turkunlp.org/paraphrase.html
- **Repository:** https://github.com/TurkuNLP/Turku-paraphrase-corpus
- **Paper:** https://aclanthology.org/2021.nodalida-main.29/
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# Dataset Card for GEM/turku_paraphrase_corpus
## Dataset Description
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# Dataset Card for GEM/viggo
## Dataset Description
- **Homepage:** https://nlds.soe.ucsc.edu/viggo
- **Repository:** [Needs More Information]
- **Paper:** https://aclanthology.org/W19-8623/
- **Leaderboard:** N/A
- **Point of Contact:** Juraj Juraska
### Link to Main Data Card
You can find the main data card on t... | GEM/viggo | [
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|
# Dataset Card for GEM/viggo
## Dataset Description
- Homepage: URL
- Repository:
- Paper: URL
- Leaderboard: N/A
- Point of Contact: Juraj Juraska
### Link to Main Data Card
You can find the main data card on the GEM Website.
### Dataset Summary
ViGGO is an English data-to-text generation dataset in the video... | [
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# Dataset Card for GEM/web_nlg
## Dataset Description
- **Homepage:** https://webnlg-challenge.loria.fr/
- **Repository:** https://gitlab.com/shimorina/webnlg-dataset
- **Paper:** http://www.aclweb.org/anthology/P17-1017, [WebNLG Challenge 2017 Report
- **Leaderboard:** https://beng.dice-research.org/gerbil/
- **Poi... | GEM/web_nlg | [
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| Dataset Card for GEM/web\_nlg
=============================
Dataset Description
-------------------
* Homepage: URL
* Repository: URL
* Paper: URL [WebNLG Challenge 2017 Report
* Leaderboard: URL
* Point of Contact:
### Link to Main Data Card
You can find the main data card on the GEM Website.
### Dataset Sum... | [
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# Dataset Card for GEM/wiki_auto_asset_turk
## Dataset Description
- **Homepage:** n/a
- **Repository:** https://github.com/chaojiang06/wiki-auto, [ASSET repository
- **Paper:** https://aclanthology.org/2020.acl-main.709/, [ASSET
- **Leaderboard:** N/A
- **Point of Contact:** WikiAuto: Chao Jiang; ASSET: Fernando Al... | GEM/wiki_auto_asset_turk | [
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| Dataset Card for GEM/wiki\_auto\_asset\_turk
============================================
Dataset Description
-------------------
* Homepage: n/a
* Repository: URL ASSET repository
* Paper: URL [ASSET
* Leaderboard: N/A
* Point of Contact: WikiAuto: Chao Jiang; ASSET: Fernando Alva-Manchego and Louis Martin; TURK: ... | [
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# Dataset Card for GEM/wiki_cat_sum
## Dataset Description
- **Homepage:** https://github.com/lauhaide/WikiCatSum
- **Repository:** https://datashare.ed.ac.uk/handle/10283/3368
- **Paper:** https://arxiv.org/abs/1906.04687
- **Leaderboard:** N/A
- **Point of Contact:** Laura Perez-Beltrachini
### Link to Main Data ... | GEM/wiki_cat_sum | [
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|
# Dataset Card for GEM/wiki_cat_sum
## Dataset Description
- Homepage: URL
- Repository: URL
- Paper: URL
- Leaderboard: N/A
- Point of Contact: Laura Perez-Beltrachini
### Link to Main Data Card
You can find the main data card on the GEM Website.
### Dataset Summary
WikiCatSum is an English summarization datas... | [
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# Dataset Card for GEM/wiki_lingua
## Dataset Description
- **Homepage:** None (See Repository)
- **Repository:** https://github.com/esdurmus/Wikilingua
- **Paper:** https://www.aclweb.org/anthology/2020.findings-emnlp.360/
- **Leaderboard:** N/A
- **Point of Contact:** Faisal Ladhak, Esin Durmus
### Link to Main D... | GEM/wiki_lingua | [
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"langua... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["none"], "language_creators": ["unknown"], "language": ["ar", "cs", "de", "en", "es", "fr", "hi", "id", "it", "ja", "ko", "nl", "pt", "ru", "th", "tr", "vi", "zh"], "license": ["cc-by-nc-sa-3.0"], "multilinguality": ["multilingual"], "size_categories": ["unknown"], "source_datasets": ["origina... | 2023-02-16T09:23:29+00:00 | [] | [
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# Dataset Card for GEM/wiki_lingua
## Dataset Description
- Homepage: None (See Repository)
- Repository: URL
- Paper: URL
- Leaderboard: N/A
- Point of Contact: Faisal Ladhak, Esin Durmus
### Link to Main Data Card
You can find the main data card on the GEM Website.
### Dataset Summary
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# Dataset Card for GEM/xlsum
## Dataset Description
- **Homepage:** https://github.com/csebuetnlp/xl-sum
- **Repository:** https://huggingface.co/datasets/csebuetnlp/xlsum/tree/main/data
- **Paper:** https://aclanthology.org/2021.findings-acl.413/
- **Leaderboard:** http://explainaboard.nlpedia.ai/leaderboard/task_x... | GEM/xlsum | [
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| Dataset Card for GEM/xlsum
==========================
Dataset Description
-------------------
* Homepage: URL
* Repository: URL
* Paper: URL
* Leaderboard: URL
* Point of Contact: Tahmid Hasan
### Link to Main Data Card
You can find the main data card on the GEM Website.
### Dataset Summary
XLSum is a highl... | [
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# Dataset Card for GEM/xsum
## Dataset Description
- **Homepage:** n/a
- **Repository:** https://github.com/EdinburghNLP/XSum
- **Paper:** https://www.aclweb.org/anthology/D18-1206
- **Leaderboard:** N/A
- **Point of Contact:** Shashi Narayan
### Link to Main Data Card
You can find the main data card on the [GEM W... | GEM/xsum | [
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| Dataset Card for GEM/xsum
=========================
Dataset Description
-------------------
* Homepage: n/a
* Repository: URL
* Paper: URL
* Leaderboard: N/A
* Point of Contact: Shashi Narayan
### Link to Main Data Card
You can find the main data card on the GEM Website.
### Dataset Summary
XSum is an Engli... | [
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73dec4f4060c6d823f4b7a1d301975ad3a2deeee | # GEM Submission
Submission name: Hugging Face test T5-base.outputs.json 36bf2a59
| GEM-submissions/lewtun__hugging-face-test-t5-base.outputs.json-36bf2a59__1646052073 | [
"benchmark:gem",
"evaluation",
"benchmark",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"benchmark": "gem", "type": "prediction", "submission_name": "Hugging Face test T5-base.outputs.json 36bf2a59", "tags": ["evaluation", "benchmark"]} | 2022-02-28T12:41:18+00:00 | [] | [] | TAGS
#benchmark-gem #evaluation #benchmark #region-us
| # GEM Submission
Submission name: Hugging Face test URL 36bf2a59
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352216dec1617b91422fa52efd7ae49665ea700d | # GEM Submission
Submission name: This is a test
| GEM-submissions/lewtun__this-is-a-test__1646052811 | [
"benchmark:gem",
"evaluation",
"benchmark",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"benchmark": "gem", "type": "prediction", "submission_name": "This is a test", "tags": ["evaluation", "benchmark"]} | 2022-02-28T12:53:35+00:00 | [] | [] | TAGS
#benchmark-gem #evaluation #benchmark #region-us
| # GEM Submission
Submission name: This is a test
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acbf7c6b792c8fc6102b7768e4d4d7cfcc028985 | # GEM Submission
Submission name: This is a test
| GEM-submissions/lewtun__this-is-a-test__1646230987 | [
"benchmark:gem",
"evaluation",
"benchmark",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"benchmark": "gem", "type": "prediction", "submission_name": "This is a test", "tags": ["evaluation", "benchmark"]} | 2022-03-02T14:23:10+00:00 | [] | [] | TAGS
#benchmark-gem #evaluation #benchmark #region-us
| # GEM Submission
Submission name: This is a test
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3412ec62b847f65f3cafe01bdf59c8ca4d25580c |
# Dataset Card for "quora_swe"
The dataset quora_swe is a subset of the automatically translated (MNT) Swedish Semantic Textual Similarity dataset: quora-deduplicates .
| Gabriel/quora_swe | [
"task_categories:text-retrieval",
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"size_categories:10K<n<100K",
"language:sv",
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"question-pairing",
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] | 2022-03-02T23:29:22+00:00 | {"language": ["sv"], "license": ["mit"], "size_categories": ["10K<n<100K"], "task_categories": ["text-retrieval", "text-classification"], "task_ids": ["semantic-similarity-classification"], "tags": ["question-pairing", "semantic-search"]} | 2022-10-22T08:39:38+00:00 | [] | [
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|
# Dataset Card for "quora_swe"
The dataset quora_swe is a subset of the automatically translated (MNT) Swedish Semantic Textual Similarity dataset: quora-deduplicates .
| [
"# Dataset Card for \"quora_swe\"\n\nThe dataset quora_swe is a subset of the automatically translated (MNT) Swedish Semantic Textual Similarity dataset: quora-deduplicates ."
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ab65249db39707bddc4543cbb99544c0b935ad11 | test | Gauravadlakha1509/new_one | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-09-20T05:39:46+00:00 | [] | [] | TAGS
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d653ddbf8eecee268bf6bc6e2fb2d0433704fedf | TODO: Add YAML tags here. Copy-paste the tags obtained with the online tagging app: https://huggingface.co/spaces/huggingface/datasets-tagging
---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 30k<n<50k
source_dataset... | GonzaloA/fake_news | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-07-04T17:09:58+00:00 | [] | [] | TAGS
#region-us
| TODO: Add YAML tags here. Copy-paste the tags obtained with the online tagging app: URL
---------------------------------------------------------------------------------------
annotations\_creators:
* no-annotation
language\_creators:
* found
language:
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multilinguality:
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size\_ca... | [
"### Dataset Summary\n\n\nThe GonzaloA / Fake\\_News\\_TFG Dataset repository is an English-language dataset containing just over 45k unique news articles. This articles are classified as true (1) or false (0). The current version is the first of the study the Fake News identification using Transformers models.",
... | [
"TAGS\n#region-us \n",
"### Dataset Summary\n\n\nThe GonzaloA / Fake\\_News\\_TFG Dataset repository is an English-language dataset containing just over 45k unique news articles. This articles are classified as true (1) or false (0). The current version is the first of the study the Fake News identification using... | [
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23b17564a5d7728a9028a799e5fde07167611d1f | Graphcore/gqa-lxmert | [
"language:en",
"license:cc-by-4.0",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language": ["en"], "license": ["cc-by-4.0"]} | 2023-01-09T11:28:07+00:00 | [] | [
"en"
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fc749b6b8c48e41fd00e323bdee4f56ae49e701c | Graphcore/gqa | [
"language:en",
"license:cc-by-4.0",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language": ["en"], "license": ["cc-by-4.0"]} | 2022-10-25T07:59:27+00:00 | [] | [
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07d470e8413557334a011dca15132bccca77b660 | Graphcore/vqa-lxmert | [
"language:en",
"license:cc-by-4.0",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language": ["en"], "license": ["cc-by-4.0"]} | 2022-10-25T07:59:34+00:00 | [] | [
"en"
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#language-English #license-cc-by-4.0 #region-us
| [] | [
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50f82b9244b61d9e9ec68dea1e93669ce5ee617e |
# Dataset Card for IK-NLP-22 Project 1: A Study in Post-Editing Stylometry
## Table of Contents
- [Dataset Card for IK-NLP-22 Project 1: A Study in Post-Editing Stylometry](#dataset-card-for-ik-nlp-22-project-1-a-study-in-post-editing-stylometry)
- [Table of Contents](#table-of-contents)
- [Dataset Description](... | GroNLP/ik-nlp-22_pestyle | [
"task_categories:translation",
"annotations_creators:machine-generated",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:translation",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"language:it",
"license:other",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["machine-generated", "expert-generated"], "language_creators": ["found"], "language": ["en", "it"], "license": ["other"], "multilinguality": ["translation"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["translation"], "pretty_name": "iknlp22-pestyle"} | 2022-10-25T08:06:27+00:00 | [] | [
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| Dataset Card for IK-NLP-22 Project 1: A Study in Post-Editing Stylometry
========================================================================
Table of Contents
-----------------
* Dataset Card for IK-NLP-22 Project 1: A Study in Post-Editing Stylometry
+ Table of Contents
+ Dataset Description
- Dataset Sum... | [
"### Dataset Summary\n\n\nThis dataset contains a sample of sentences taken from the FLORES-101 dataset that were either translated from scratch or post-edited from an existing automatic translation by three human translators. Translation were performed for the English-Italian language pair, and translators' behavi... | [
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760fdc5d9fe699699025ff928ab6b5c631694238 |
# Dataset Card for IK-NLP-22 Speech and Language Processing
## Table of Contents
- [Dataset Card for IK-NLP-22 Speech and Language Processing](#dataset-card-for-ik-nlp-22-speech-and-language-processing)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary... | GroNLP/ik-nlp-22_slp | [
"task_categories:question-answering",
"task_categories:summarization",
"task_categories:text-retrieval",
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"license:unk... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["question-answering", "summarization", "text-retrieval"], "prett... | 2023-02-01T18:25:21+00:00 | [] | [
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=========================================================
Table of Contents
-----------------
* Dataset Card for IK-NLP-22 Speech and Language Processing
+ Table of Contents
+ Dataset Description
- Dataset Summary
- Projects
- Languages
+ Dataset St... | [
"### Dataset Summary\n\n\nThis dataset contains chapters extracted from the Speech and Language Processing book (3ed draft of January 2022) by Jurafsky and Martin via a semi-automatic procedure (see below for additional details). Moreover, a small set of conceptual questions associated with each chapter is provided... | [
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a632c66397917c1494b0bb090e2b2fa0b7e98868 | # Dataset Card for IK-NLP-22 Project 3: Translation Quality-driven Data Selection for Natural Language Inference
## Table of Contents
- [Dataset Card for IK-NLP-22 Project 3: Translation Quality-driven Data Selection for Natural Language Inference](#dataset-card-for-ik-nlp-22-project-3-translation-quality-driven-data-s... | GroNLP/ik-nlp-22_transqe | [
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"language:en... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated", "machine-generated"], "language": ["en", "nl"], "license": ["apache-2.0"], "multilinguality": ["translation"], "size_categories": ["unknown"], "source_datasets": ["extended|esnli"], "task_categories": ["text-classification"], "task... | 2022-10-21T07:06:50+00:00 | [] | [
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==============================================================================================================
Table of Contents
-----------------
* Dataset Card for IK-NLP-22 Project 3: Translation Qualit... | [
"### Dataset Summary\n\n\nThis dataset contains the full e-SNLI dataset, automatically translated to Dutch using the Helsinki-NLP/opus-mt-en-nl neural machine translation model. The translation of each field has been anotated with two quality estimation scores using the referenceless version of the COMET metric by ... | [
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5bbaa2ae85bfd49ac6ec872314d49a3b195a2f2b | Reformatted version of the ParaSCI dataset from [ParaSCI: A Large Scientific Paraphrase Dataset for Longer Paraphrase Generation](https://arxiv.org/abs/2101.08382). Data retrieved from [dqxiu/ParaSCI](https://github.com/dqxiu/ParaSCI). | HHousen/ParaSCI | [
"arxiv:2101.08382",
"region:us"
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"2101.08382"
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#arxiv-2101.08382 #region-us
| Reformatted version of the ParaSCI dataset from ParaSCI: A Large Scientific Paraphrase Dataset for Longer Paraphrase Generation. Data retrieved from dqxiu/ParaSCI. | [] | [
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f570a84b03663180b6034c1f7f4c15864f94385e |
# Dataset Card for The Harvard USPTO Patent Dataset (HUPD)
## Dataset Description
- **Homepage:** [https://patentdataset.org/](https://patentdataset.org/)
- **Repository:** [HUPD GitHub repository](https://github.com/suzgunmirac/... | HUPD/hupd | [
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"task_ids:named-entity-recognition",
"language:en"... | 2022-03-02T23:29:22+00:00 | {"language": ["en"], "license": ["cc-by-sa-4.0"], "task_categories": ["fill-mask", "summarization", "text-classification", "token-classification"], "task_ids": ["masked-language-modeling", "multi-class-classification", "topic-classification", "named-entity-recognition"], "pretty_name": "HUPD", "tags": ["patents"]} | 2022-10-24T14:47:30+00:00 | [
"2207.04043"
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"en"
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# Dataset Card for The Harvard USPTO Patent Dataset (HUPD)
!HUPD-Diagram
## Dataset Description
- Homepage: URL
- Repository: HUPD GitHub repository
- Paper: HUPD arXiv Submission
- Point of Contact: Mirac Suzgun
### Dataset Summary
The Harvard USPTO Dataset (HUPD) is a large-scale, well-structured, and multi-pu... | [
"# Dataset Card for The Harvard USPTO Patent Dataset (HUPD)\n\n!HUPD-Diagram",
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dcf5483845bfd6a068c708f434f69989a8161e20 |
# Statistics
| Language | Source | Type | Duration (in hrs) | Files | Sample rate |
|----------|------------------|-------|----------|-------|--|
| Gujarati | Interspeech 2021 | Train | 39.999 | 22807 | 16000 |
| Gujarati | Interspeech 2021 | Valid | 5 | 3075 | 16000 |
| ... | Harveenchadha/indic-voice | [
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"robust-speech-event",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["hi", "mr", "or", "ta", "te", "gu"], "multilinguality": ["multilingual"], "task_categories": ["speech-processing"], "task_ids": ["automatic-speech-recognition"], "pretty_name": "Indic Voice", "tags": ["robust-speech-event"]} | 2023-02-26T11:42:49+00:00 | [] | [
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| Statistics
==========
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] |
d65bea5f7a48f9af06453e855dbffe1753a0f508 |
# DebateSum
Corresponding code repo for the upcoming paper at ARGMIN 2020: "DebateSum: A large-scale argument mining and summarization dataset"
Arxiv pre-print available here: https://arxiv.org/abs/2011.07251
Check out the presentation date and time here: https://argmining2020.i3s.unice.fr/node/9
Full paper as pres... | Hellisotherpeople/DebateSum | [
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# DebateSum
Corresponding code repo for the upcoming paper at ARGMIN 2020: "DebateSum: A large-scale argument mining and summarization dataset"
Arxiv pre-print available here: URL
Check out the presentation date and time here: URL
Full paper as presented by the ACL is here: URL
Video of presentation at COLING 2020... | [
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9635372e5421ccacda7db58e88741617867a9204 |
# Dataset Card for [Dataset Name]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
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- [Dataset Structure](#dataset-st... | Helsinki-NLP/tatoeba_mt | [
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# Dataset Card for [Dataset Name]
## Table of Contents
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- Dataset Description
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- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
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- Dataset Creation
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- Annotations
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945bea40d4783692fca28bb4fed101a57b922a2f | Keras API from https://keras.io/api/ <br />
Formatted into .txt file for input to https://huggingface.co/blog/how-to-train | HenryAI/KerasAPIReference.txt | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-12-15T15:55:07+00:00 | [] | [] | TAGS
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| Keras API from URL <br />
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2dd5beae4e31f10590a4860025d26edf36ac8512 | Keras Code Examples from https://keras.io/examples/ <br />
organized as .txt file for input to this HF tutorial: <br />
https://huggingface.co/blog/how-to-train | HenryAI/KerasCodeExamples.txt | [
"region:us"
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8d270a68da1c0eedee946f5d7dc3261aab36237c | Keras developer guides from https://keras.io/guides/ <br />
Formatted for input to: https://huggingface.co/blog/how-to-train | HenryAI/KerasDeveloperGuides.txt | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-12-15T15:56:47+00:00 | [] | [] | TAGS
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| Keras developer guides from URL <br />
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16f3d2dbe10c17fed80f76ac6f757edacce7d82d |
# Dataset Card for [Dataset Name]
## 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-st... | IFSTalfredoswald/MBTI | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"YAML tags": [{"copy-paste the tags obtained with the tagging app": "https://github.com/huggingface/datasets-tagging"}]} | 2021-10-25T09:40:02+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for [Dataset Name]
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
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d858e3bf6145217b36e151636805daa733a77eb2 | Arabic Twitter based dataset with multi-labels that contains two classes:
1. Sentiment class: classifies tweets as Positive, Negative and Neutral
2. Topic class: Classifies tweets as Politics, Business and Health | Iftoo95/Arabic_Sentiment_and_Topics | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-11-20T14:50:45+00:00 | [] | [] | TAGS
#region-us
| Arabic Twitter based dataset with multi-labels that contains two classes:
1. Sentiment class: classifies tweets as Positive, Negative and Neutral
2. Topic class: Classifies tweets as Politics, Business and Health | [] | [
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3faadb12ac1566f7944339cf5fb13f1066f9c5f7 |
# Dataset Card for Gazeta
## 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)... | IlyaGusev/gazeta | [
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"arx... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated", "found"], "language_creators": ["expert-generated", "found"], "language": ["ru"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["summarization"], "paperswithcode_id": "gaze... | 2023-02-12T00:01:45+00:00 | [
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| Dataset Card for Gazeta
=======================
Table of Contents
-----------------
* Table of Contents
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* Dataset Structure
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+ Data Fields
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* Dataset Creation
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+ Source Dat... | [
"### Dataset Summary\n\n\nDataset for automatic summarization of Russian news. News and their summaries are from the Gazeta website. Summaries were parsed as the content of an HTML tag with “description” property. Additional selection of good summaries was performed. There are two versions of this dataset.",
"###... | [
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68c78423fe4653638a87ec91140488bb3cb97061 |
# Dataset Card for HeadlineCause
## 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-str... | IlyaGusev/headline_cause | [
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"causal-reasoni... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["found"], "language": ["ru", "en"], "license": ["cc0-1.0"], "multilinguality": ["multilingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["multi-class-classification"], "p... | 2023-02-12T00:02:58+00:00 | [
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==============================
Table of Contents
-----------------
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* Dataset Description
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+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
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+ Curation Rationale... | [
"### Dataset Summary\n\n\nA dataset for detecting implicit causal relations between pairs of news headlines. The dataset includes over 5000 headline pairs from English news and over 9000 headline pairs from Russian news labeled through crowdsourcing. The pairs vary from totally unrelated or belonging to the same ge... | [
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e9a0f74a6fc2ec7a12ce66299dcffc693d2bf0d9 | # WEC-Eng
A large-scale dataset for cross-document event coreference extracted from English Wikipedia. </br>
- **Repository (Code for generating WEC):** https://github.com/AlonEirew/extract-wec
- **Paper:** https://aclanthology.org/2021.naacl-main.198/
### Languages
English
## Load Dataset
You can read in WEC-Eng f... | Intel/WEC-Eng | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-10-04T10:21:48+00:00 | [] | [] | TAGS
#region-us
| WEC-Eng
=======
A large-scale dataset for cross-document event coreference extracted from English Wikipedia.
* Repository (Code for generating WEC): URL
* Paper: URL
### Languages
English
Load Dataset
------------
You can read in WEC-Eng files as follows (using the huggingface\_hub library):
Dataset Stru... | [
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dad97e25cbb6fdbcf419d63d1bdbfa998978da60 | annotations_creators: []
language_creators:
- found
languages:
- war, ceb
licenses: []
multilinguality:
- multilingual
pretty_name: Waray Cebu Wikipedia
size_categories:
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source_datasets: []
task_categories: []
task_ids: [] | JIsanan/war-ceb-wikipedia | [
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| annotations_creators: []
language_creators:
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languages:
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licenses: []
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task_ids: [] | [] | [
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7037bf1d59316b4f3368adf7a958cf31c1eb07ab | # Dataset Card for "wikiner_fr"
Dataset Description:
- **Homepage:** https://metatext.io/datasets/wikiner
- **Repository:**
- **Paper:** https://www.sciencedirect.com/science/article/pii/S0004370212000276?via%3Dihub
- **Leaderboard:**
- **Point of Contact:** | Jean-Baptiste/wikiner_fr | [
"task_categories:token-classification",
"language:fr",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language": ["fr"], "task_categories": ["token-classification"], "dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "tokens", "sequence": "string"}, {"name": "ner_tags", "sequence": {"class_label": {"names": {"0": "O", "1": "LOC", "2": "PER", "3": "MISC", "4": "ORG"}}}}], "splits": [{"name": "tes... | 2023-06-26T14:33:17+00:00 | [] | [
"fr"
] | TAGS
#task_categories-token-classification #language-French #region-us
| # Dataset Card for "wikiner_fr"
Dataset Description:
- Homepage: URL
- Repository:
- Paper: URL
- Leaderboard:
- Point of Contact: | [
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52f7ea4aeefd5312b1e5d9cf7abb660594441e18 | # AutoNLP Dataset for project: vaccinfaq
## Table of content
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
## Dataset Descritpion
This dataset ... | Jeska/autonlp-data-vaccinfaq | [
"task_categories:text-classification",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"task_categories": ["text-classification"]} | 2021-10-19T11:06:57+00:00 | [] | [] | TAGS
#task_categories-text-classification #region-us
| AutoNLP Dataset for project: vaccinfaq
======================================
Table of content
----------------
* Dataset Description
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
Dataset Descritpion
-------------------
This dataset has been automatically processed by AutoNLP ... | [
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452e8b3b1104da9e0ee724bc90beaee7de704be6 |
# Dataset Card for OverLim
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
The _OverLim_ dataset contains some of the GLUE and SuperGLUE tasks automatically
translated to Swedish, Danish, and Norwegian (bokmål), using the OpusMT m... | KBLab/overlim | [
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"multilinguality:translation",
"size_categories:unknown"... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["other"], "language_creators": ["other"], "language": ["sv", "da", "nb"], "license": ["cc-by-4.0"], "multilinguality": ["translation"], "size_categories": ["unknown"], "source_datasets": ["extended|glue", "extended|super_glue"], "task_categories": ["text-classification"], "task_ids": ["natural... | 2022-10-25T05:13:06+00:00 | [] | [
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# Dataset Card for OverLim
## Dataset Description
- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact:
### Dataset Summary
The _OverLim_ dataset contains some of the GLUE and SuperGLUE tasks automatically
translated to Swedish, Danish, and Norwegian (bokmål), using the OpusMT models
for MarianMT.
... | [
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96acc4fd6dad4b6f9a133cca1efa4dedb07a8b99 | # Dataset Card for _SUCX 3.0 - NER_
## Dataset Description
- **Homepage:** [https://spraakbanken.gu.se/en/resources/suc3](https://spraakbanken.gu.se/en/resources/suc3)
- **Repository:** [https://github.com/kb-labb/sucx3_ner](https://github.com/kb-labb/sucx3_ner)
- **Paper:** [SUC 2.0 manual](http://spraakbanken.gu.se... | KBLab/sucx3_ner | [
"task_categories:other",
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"structure-predic... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["other"], "language": ["sv"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["unknown"], "source_datasets": ["original"], "task_categories": ["other"], "task_ids": ["named-entity-recognition", "part-of-speech"], "pre... | 2022-10-25T05:13:36+00:00 | [] | [
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| Dataset Card for *SUCX 3.0 - NER*
=================================
Dataset Description
-------------------
* Homepage: URL
* Repository: URL
* Paper: SUC 2.0 manual
* Point of Contact:
### Dataset Summary
The dataset is a conversion of the venerable SUC 3.0 dataset into the
huggingface ecosystem.
The original ... | [
"### Dataset Summary\n\n\nThe dataset is a conversion of the venerable SUC 3.0 dataset into the\nhuggingface ecosystem.\nThe original dataset does not contain an official train-dev-test split, which is\nintroduced here; the tag distribution for the NER tags between the three splits\nis mostly the same.\n\n\nThe dat... | [
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49823f8eccb27f84b24a22550d253027acd36285 | <!--
Copyright 2021 san kim
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, softw... | KETI-AIR/klue | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-06-02T23:35:30+00:00 | [] | [] | TAGS
#region-us
|
# Korean Language Understanding Evaluation (KLUE) | [
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4fa57a61a3fb698db245cf463ab777c56e281aac | <!--
Copyright 2021 san kim
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, softw... | KETI-AIR/korquad | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-06-02T23:37:09+00:00 | [] | [] | TAGS
#region-us
|
# KorQuAD
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4
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"passage: TAGS\n#region-us \n# KorQuAD"
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2c9acc3b070e6888337eacb0057f25571b78ca1c | <!--
Copyright 2021 san kim
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, softw... | KETI-AIR/nikl | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-06-08T05:42:34+00:00 | [] | [] | TAGS
#region-us
|
# National Institute of Korean Language(NIKL) Corpus
| [
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4bdc0e31c0ff5945a99a54e5868628cdb49695c6 | hello
| KTH/martin | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-01-31T11:59:02+00:00 | [] | [] | TAGS
#region-us
| hello
| [] | [
"TAGS\n#region-us \n"
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6
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"passage: TAGS\n#region-us \n"
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c32c46a4b84206c99a46ab2e6d4938d4e3cd14dd | # NST Swedish ASR Database (16 kHz) – reorganized
This database was created by Nordic Language Technology for the development of automatic speech recognition and dictation in Swedish. In this updated version, the organization of the data have been altered to improve the usefulness of the database.
In the original ver... | KTH/nst | [
"task_categories:automatic-speech-recognition",
"language:sv",
"license:cc0-1.0",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language": ["sv"], "license": "cc0-1.0", "task_categories": ["automatic-speech-recognition"]} | 2023-09-05T13:29:06+00:00 | [] | [
"sv"
] | TAGS
#task_categories-automatic-speech-recognition #language-Swedish #license-cc0-1.0 #region-us
| # NST Swedish ASR Database (16 kHz) – reorganized
This database was created by Nordic Language Technology for the development of automatic speech recognition and dictation in Swedish. In this updated version, the organization of the data have been altered to improve the usefulness of the database.
In the original ver... | [
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a41517588544f0d240f449cd4fc205a7aa0a5341 | # Speechdat
Speechdat dataset
## Loading the dataset
You need to download the dataset from another folder. We assume the wav files are located inside a /wav folder inside speechdat.
```
from datasets import load_dataset
speechdat = load_dataset("./speechdat", split="train", data_dir="./speechdat/wav")
```
| KTH/speechdat | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-02-07T10:41:34+00:00 | [] | [] | TAGS
#region-us
| # Speechdat
Speechdat dataset
## Loading the dataset
You need to download the dataset from another folder. We assume the wav files are located inside a /wav folder inside speechdat.
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75a1e327279b80d7cd04bd754801b80c075cfd5e | # THE WAXHOLM CORPUS
The Waxholm corpus was collected in 1993 - 1994 at the department of
Speech, Hearing and Music (TMH), KTH. It is described in several
publications. Two are included in this archive. Publication of work
using the Waxholm corpus should refer to either of these. More
information on the Waxholm projec... | KTH/waxholm | [
"task_categories:automatic-speech-recognition",
"language:sv",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language": ["sv"], "task_categories": ["automatic-speech-recognition"]} | 2023-08-09T09:36:10+00:00 | [] | [
"sv"
] | TAGS
#task_categories-automatic-speech-recognition #language-Swedish #region-us
| THE WAXHOLM CORPUS
==================
The Waxholm corpus was collected in 1993 - 1994 at the department of
Speech, Hearing and Music (TMH), KTH. It is described in several
publications. Two are included in this archive. Publication of work
using the Waxholm corpus should refer to either of these. More
information on ... | [
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87abd6f78c76155c23440a92131e1b264a8cb703 |
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Dataset Structure](#dataset-structure)
- [Dataset Evaluation](#dataset-evaluation)
- [Additional Information](#additional-information)
## Dataset Description
We prov... | Karavet/ARPA-Armenian-Paraphrase-Corpus | [
"multilinguality:monolingual",
"language:hy",
"arxiv:2009.12615",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language": ["hy"], "multilinguality": ["monolingual"], "task_categories": ["paraphrase", "paraphrase detection"], "task_ids": ["paraphrase", "paraphrase detection"]} | 2022-10-21T15:04:07+00:00 | [
"2009.12615"
] | [
"hy"
] | TAGS
#multilinguality-monolingual #language-Armenian #arxiv-2009.12615 #region-us
| Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
* Dataset Structure
* Dataset Evaluation
* Additional Information
Dataset Description
-------------------
We provide sentential paraphrase detection train, test datasets as well as BERT-based models for the Armenian l... | [
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2fda001dd651936d4ec71e9a6c9a6b828d752f3c |
## Table of Contents
- [Table of Contents](#table-of-contents)
- [News Texts Dataset](#news-texts-dataset)
## News Texts Dataset
We release a dataset of over 12000 news articles from [iLur.am](http://www.ilur.am/), categorized into 7 classes: sport, politics, weather, economy, accidents, art, society. The articles a... | Karavet/ILUR-news-text-classification-corpus | [
"task_categories:text-classification",
"multilinguality:monolingual",
"language:hy",
"license:apache-2.0",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language": ["hy"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "task_categories": ["news-classification", "text-classification"], "task_ids": ["news-classification", "text-classification"]} | 2022-10-21T15:06:12+00:00 | [] | [
"hy"
] | TAGS
#task_categories-text-classification #multilinguality-monolingual #language-Armenian #license-apache-2.0 #region-us
|
## Table of Contents
- Table of Contents
- News Texts Dataset
## News Texts Dataset
We release a dataset of over 12000 news articles from URL, categorized into 7 classes: sport, politics, weather, economy, accidents, art, society. The articles are split into train (2242k tokens) and test sets (425k tokens).
For mor... | [
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9da1a1172d636aedfffa1dc60a165ee40ab378d5 | ## Table of Contents
- [Table of Contents](#table-of-contents)
- [pioNER - named entity annotated datasets](#pioNER---named-entity-annotated-datasets)
- [Silver-standard dataset](#silver-standard-dataset)
- [Gold-standard dataset](#gold-standard-dataset)
# pioNER - named entity annotated datasets
pioNER corpus ... | Karavet/pioNER-Armenian-Named-Entity | [
"task_ids:named-entity-recognition",
"multilinguality:monolingual",
"language:hy",
"license:apache-2.0",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language": ["hy"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "task_categories": ["named-entity-recognition"], "task_ids": ["named-entity-recognition"]} | 2022-10-21T15:07:06+00:00 | [] | [
"hy"
] | TAGS
#task_ids-named-entity-recognition #multilinguality-monolingual #language-Armenian #license-apache-2.0 #region-us
| Table of Contents
-----------------
* Table of Contents
* pioNER - named entity annotated datasets
+ Silver-standard dataset
+ Gold-standard dataset
pioNER - named entity annotated datasets
========================================
pioNER corpus provides gold-standard and automatically generated named-entity dat... | [] | [
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9320eb29c41bba15f779dd34df65c0f2c2f9d009 | It's all about Corona | Khanoooo/autonlp-data-Corona | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-08-08T18:59:14+00:00 | [] | [] | TAGS
#region-us
| It's all about Corona | [] | [
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eac96c29ef9f84957c808e94d536b4d5f342c7f6 |
# Dataset Card for "SentNoB"
### Dataset Summary
Social Media User Comments' Sentiment Analysis Dataset. Each user comments are labeled with either positive (1), negative (2), or neutral (0).
### Citation Information
```
@inproceedings{islam2021sentnob,
title={SentNoB: A Dataset for Analysing Sentiment on Noisy... | khondoker/SentNoB | [
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"task_ids:sentiment-classification",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"language:bn",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["bn"], "task_categories": ["text-classification"], "task_ids": ["sentiment-classification"], "paperswithcode_id": "sentnob", "pretty_name": "SentNoB"} | 2023-04-23T09:32:36+00:00 | [] | [
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|
# Dataset Card for "SentNoB"
### Dataset Summary
Social Media User Comments' Sentiment Analysis Dataset. Each user comments are labeled with either positive (1), negative (2), or neutral (0).
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f5f200ae1b3593972a8ea288347be6840f62315e | # Plastic in river
This dataset is an export of the annotated assets from the [Kili's Community Challenge - Plastic in River dataset](https://kili-technology.com/blog/kili-s-community-challenge-plastic-in-river-dataset).
The Hugging Face dataset will be updated every day during the challenge with the latest annotation... | kili-technology/plastic_in_river | [
"task_categories:object-detection",
"size_categories:1K<n<10K",
"source_datasets:original",
"other-object-detection",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["object-detection"], "task_ids": [], "pretty_name": "Plastic in river", "tags": ["other-object-detection"]} | 2022-10-21T06:13:58+00:00 | [] | [] | TAGS
#task_categories-object-detection #size_categories-1K<n<10K #source_datasets-original #other-object-detection #region-us
| # Plastic in river
This dataset is an export of the annotated assets from the Kili's Community Challenge - Plastic in River dataset.
The Hugging Face dataset will be updated every day during the challenge with the latest annotations. | [
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a4ef816d07e521ba508071a8eec018d2432a4e6a | # Gender classification from Clinical Trial Public Data
| Kira-Asimov/gender_clinical_trial | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-02-10T10:16:03+00:00 | [] | [] | TAGS
#region-us
| # Gender classification from Clinical Trial Public Data
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6,
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8d01c039de110c9080f0bc578d00202da40fb85c | hello
| LIAMF-USP/arc-retrieval-c4 | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-06-05T03:17:21+00:00 | [] | [] | TAGS
#region-us
| hello
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1aa34e4fda756024d3fc2375d2ebde5019255be2 |
# Dataset Card for [Dataset Name]
## 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-st... | Langame/starter | [
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"language:en",
"license:mit",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-generation"], "task_ids": [], "pretty_name": ""} | 2022-12-06T18:54:01+00:00 | [] | [
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|
# Dataset Card for [Dataset Name]
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- P... | [
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"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n... | [
"TAGS\n#task_categories-text-generation #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-mit #region-us \n",
"# Dataset Card for [Dataset Name]",
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1e2b7a01de75da09087b4629d79b07a868763154 | # Langame/waiting-messages
Generated using OpenAI GPT-3 davinci-codex based on random initial samples written by a human.
⚠️ The dataset has not been de-duplicated, so there may be duplicates. ⚠️ | Langame/waiting-messages | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-12-19T08:56:56+00:00 | [] | [] | TAGS
#region-us
| # Langame/waiting-messages
Generated using OpenAI GPT-3 davinci-codex based on random initial samples written by a human.
️ The dataset has not been de-duplicated, so there may be duplicates. ️ | [
"# Langame/waiting-messages\nGenerated using OpenAI GPT-3 davinci-codex based on random initial samples written by a human.\n\n️ The dataset has not been de-duplicated, so there may be duplicates. ️"
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b80b4a8dfdbfa78c6ae2eb5c7a405ca04b623929 |
# Dataset Card for CC-NEWS-ES-titles
## 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-ins... | LeoCordoba/CC-NEWS-ES-titles | [
"task_categories:summarization",
"task_categories:text-generation",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:cc-news",
"language:es",
"license:mit",
"conditional-text-generation",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["es"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["cc-news"], "task_categories": ["summarization", "text-generation"], "task_ids": [], "tags": ["conditional-text-ge... | 2023-02-23T21:53:46+00:00 | [] | [
"es"
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#task_categories-summarization #task_categories-text-generation #annotations_creators-no-annotation #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-cc-news #language-Spanish #license-mit #conditional-text-generation #region-us
| Dataset Card for CC-NEWS-ES-titles
==================================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source D... | [
"### Dataset Summary\n\n\nCC-NEWS-ES-titles is a Spanish-language dataset for news titles generation. The text and titles comes from 2019 and 2020 CC-NEWS data (which is part of Common Crawl).\n\n\nIt contains 402.310 pairs of news title and body, splitted in :\n\n\n* Train: 370.125\n* Eval: 16.092\n* Test: 16.092"... | [
"TAGS\n#task_categories-summarization #task_categories-text-generation #annotations_creators-no-annotation #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-cc-news #language-Spanish #license-mit #conditional-text-generation #region-us \n",
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ffc909433ee918658635edf15958e8e4d82cbdd6 |
# Dataset Card for CC-NEWS-ES
## 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)... | LeoCordoba/CC-NEWS-ES | [
"task_categories:summarization",
"task_categories:text-generation",
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"language_creators:found",
"multilinguality:monolingual",
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"size_categories:1K<n<10K",
"size_categories:10K<n<100K",
"size_categories:100K<n<1M",
"size_categories:1M<n<1... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["es"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["n<1K", "1K<n<10K", "10K<n<100K", "100K<n<1M", "1M<n<10M"], "source_datasets": ["cc-news"], "task_categories": ["summarization", "text-generation"],... | 2023-02-23T21:53:55+00:00 | [] | [
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#task_categories-summarization #task_categories-text-generation #annotations_creators-no-annotation #language_creators-found #multilinguality-monolingual #size_categories-n<1K #size_categories-1K<n<10K #size_categories-10K<n<100K #size_categories-100K<n<1M #size_categories-1M<n<10M #source_datasets-cc-news #langua... | Dataset Card for CC-NEWS-ES
===========================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+ Annotat... | [
"### Dataset Summary\n\n\nCC-NEWS-ES is a Spanish-language dataset of news. The corpus was generated by extracting the Spanish articles from CC-NEWS (news index of Common Crawl) of 2019. For doing that FastText model was used for language prediction.\n\n\nIt contains a total of 7,473,286 texts and 1,812,009,283 wor... | [
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7e0cd74e251f8e26317487dfb9304b94926840ea | dataset card | Linda/test1111 | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-11-11T07:08:48+00:00 | [] | [] | TAGS
#region-us
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