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4d25d534c42edc1a204468be223ab359828c8e29 | # AutoTrain Dataset for project: fine_tune_table_tm2
## Dataset Description
This dataset has been automatically processed by AutoTrain for project fine_tune_table_tm2.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as foll... | Aman6917/autotrain-data-fine_tune_table_tm2 | [
"task_categories:summarization",
"region:us"
] | 2023-01-02T11:48:55+00:00 | {"task_categories": ["summarization"]} | 2023-01-03T12:38:25+00:00 | [] | [] | TAGS
#task_categories-summarization #region-us
| AutoTrain Dataset for project: fine\_tune\_table\_tm2
=====================================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project fine\_tune\_table\_tm2.
### Languages
The BCP-47 code for the dataset's language is unk.
Da... | [
"### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\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 d... | [
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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 c... | [
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78ed19793e07692925fba02292dc6d58b2d46404 |
This dataset consists of three CSV files, namely: 'cs.csv', 'ds.csv', and 'p.csv'.
Each CSV file includes the data for the questions asked on a Stack Exchange (SE) question-answering community, from the creation of the community until May 2021.
- 'cs.csv' --> [Computer Science SE](https://cs.stackexchange.com/)
- 'd... | habedi/stack-exchange-dataset | [
"task_categories:text-classification",
"task_categories:question-answering",
"size_categories:10K<n<100K",
"language:en",
"license:cc",
"region:us"
] | 2023-01-02T12:13:24+00:00 | {"language": ["en"], "license": "cc", "size_categories": ["10K<n<100K"], "task_categories": ["text-classification", "question-answering"], "pretty_name": "Stack Exchange -- Question Dataset"} | 2023-11-29T06:48:06+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #task_categories-question-answering #size_categories-10K<n<100K #language-English #license-cc #region-us
|
This dataset consists of three CSV files, namely: 'URL', 'URL', and 'p.csv'.
Each CSV file includes the data for the questions asked on a Stack Exchange (SE) question-answering community, from the creation of the community until May 2021.
- 'URL' --> Computer Science SE
- 'URL' --> Data Science SE
- 'p.csv' --> Poli... | [] | [
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] |
475c56aafb9b1b0e3c5b197ee0990d0511861542 | # Dataset Card for "code-review-instruct-critique-revision"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Dahoas/code-review-instruct-critique-revision | [
"region:us"
] | 2023-01-02T12:21:35+00:00 | {"dataset_info": {"features": [{"name": "body", "dtype": "string"}, {"name": "answer", "struct": [{"name": "body", "dtype": "string"}, {"name": "comments", "list": [{"name": "ContentLicense", "dtype": "string"}, {"name": "CreationDate", "dtype": "string"}, {"name": "Id", "dtype": "string"}, {"name": "Score", "dtype": "... | 2023-01-08T15:02:44+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "code-review-instruct-critique-revision"
More Information needed | [
"# Dataset Card for \"code-review-instruct-critique-revision\"\n\nMore Information needed"
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12399f1eb09fbf1305d580eb9bbebdc5e6d0cb01 |
# Dataset Card for echr_rational
### Dataset Summary
[Deconfounding Legal Judgment Prediction for European Court of Human
Rights Cases Towards Better Alignment with Experts](https://arxiv.org/pdf/2210.13836.pdf)
This work demonstrates that Legal Judgement Prediction systems without expert-informed adjustments can be... | TUMLegalTech/echr_rational | [
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"language:en",
"license:afl-3.0",
"arxiv:2210.13836",
"region:us"
] | 2023-01-02T13:13:23+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["en"], "license": "afl-3.0", "multilinguality": ["monolingual"], "size_categories": [50]} | 2023-01-06T14:29:05+00:00 | [
"2210.13836"
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"en"
] | TAGS
#annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #language-English #license-afl-3.0 #arxiv-2210.13836 #region-us
|
# Dataset Card for echr_rational
### Dataset Summary
Deconfounding Legal Judgment Prediction for European Court of Human
Rights Cases Towards Better Alignment with Experts
This work demonstrates that Legal Judgement Prediction systems without expert-informed adjustments can be vulnerable to shallow, distracting surf... | [
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cf4d879b7ffe35b240659a5b541484c3ec0da6ba | Dataset with Prolog code / query pairs and execution results. | alex43219/prolog-dataset-full | [
"task_categories:other",
"annotations_creators:machine-generated",
"language_creators:crowdsourced",
"multilinguality:monolingual",
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"region:us"
] | 2023-01-02T13:30:20+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["crowdsourced"], "language": ["code"], "license": [], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": [], "task_categories": ["other"], "task_ids": [], "pretty_name": "Prolog dataset", "tags": []} | 2023-01-02T16:43:04+00:00 | [] | [
"code"
] | TAGS
#task_categories-other #annotations_creators-machine-generated #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #language-code #region-us
| Dataset with Prolog code / query pairs and execution results. | [] | [
"TAGS\n#task_categories-other #annotations_creators-machine-generated #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #language-code #region-us \n"
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] |
d05d1b5797d4e1d020ab972021f0df669e374e92 |
### Description
Extended dataset infered by the name entity recognition model [en_ner_prompting](https://huggingface.co/teo-sanchez/en_ner_prompting). This model has been trained on hand-annotated prompts from [poloclub/diffusiondb](https://huggingface.co/data... | teo-sanchez/diffusiondb_ner | [
"language_creators:found",
"multilinguality:monolingual",
"size_categories:100M<n<1G",
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"language:en",
"license:cc-by-3.0",
"stable diffusion",
"prompt engineering",
"prompts",
"research paper",
"region:us"
] | 2023-01-02T13:35:10+00:00 | {"language_creators": ["found"], "language": ["en"], "license": ["cc-by-3.0"], "multilinguality": ["monolingual"], "size_categories": ["100M<n<1G"], "source_datasets": ["poloclub/diffusiondb"], "pretty_name": "NER-DiffusionDB", "layout": "default", "title": "Name Entity Recognition of DiffusionDB", "nav_order": 1, "has... | 2023-01-02T14:24:35+00:00 | [] | [
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| .
The e... | [
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ddb0790ab02248267a37192dcbc741258601d758 |
This dataset was created in https://openreview.net/pdf?id=uDlkiCI5N7Y
The original source is here: https://drive.google.com/drive/folders/1VDnwRhmguvhKUCZ0_nv54RMGgqfYHGfz
Many thanks to Stefan Larson! | jordyvl/RVL-CDIP-N | [
"license:cc-by-3.0",
"region:us"
] | 2023-01-02T14:13:33+00:00 | {"license": "cc-by-3.0", "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "budget", "1": "email", "2": "form", "3": "handwritten", "4": "invoice", "5": "letter", "6": "memo", "7": "news_article", "8": "questionnaire", "9": "resume", "10": "sci... | 2023-01-02T14:25:47+00:00 | [] | [] | TAGS
#license-cc-by-3.0 #region-us
|
This dataset was created in URL
The original source is here: URL
Many thanks to Stefan Larson! | [] | [
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d5876b14c70bd456709f78705de9bca920c87dcf | Dataset with Prolog code / query pairs and execution results. | alex43219/prolog-dataset-small-balanced | [
"task_categories:other",
"annotations_creators:machine-generated",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"language:code",
"region:us"
] | 2023-01-02T14:16:52+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["crowdsourced"], "language": ["code"], "license": [], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": [], "task_categories": ["other"], "task_ids": [], "pretty_name": "Prolog dataset", "tags": []} | 2023-01-02T16:42:10+00:00 | [] | [
"code"
] | TAGS
#task_categories-other #annotations_creators-machine-generated #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #language-code #region-us
| Dataset with Prolog code / query pairs and execution results. | [] | [
"TAGS\n#task_categories-other #annotations_creators-machine-generated #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #language-code #region-us \n"
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] |
5da7e3c8b920a586b8c36eecba4aaa0152a59a52 |
# Dataset Card for [financial-reports-sec]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Dataset Configurations](#dataset-configurations)
- [Usage](#usage)
- [Supported Tasks](#supported-tasks)
- [Langua... | JanosAudran/financial-reports-sec | [
"task_categories:fill-mask",
"task_categories:text-classification",
"task_ids:masked-language-modeling",
"task_ids:multi-class-classification",
"task_ids:sentiment-classification",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_cat... | 2023-01-02T15:21:14+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": ["10M<n<100M"], "source_datasets": ["extended|other"], "task_categories": ["fill-mask", "text-classification"], "task_ids": ["ma... | 2023-01-06T17:44:08+00:00 | [] | [
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========================================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Dataset Configurations
+ Usage
+ Supported Tasks
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
+... | [
"### Dataset Summary\n\n\nThe dataset contains the annual report of US public firms filing with the SEC EDGAR system from 1993-2020. Each annual report (10K filing) is broken into 20 sections. Each section is split into individual sentences. Sentiment labels are provided on a per filing basis from the market reacti... | [
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d23f740082eba235d37aa73b33b1635c6f5ee8fe | # Dataset Card for "test_repo"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | pyakymenko/test_repo | [
"region:us"
] | 2023-01-02T15:25:54+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": "audio"}, {"name": "sentence", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 167117.0, "num_examples": 3}], "download_size": 162079, "dataset_size": 167117.0}} | 2023-01-02T15:26:01+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "test_repo"
More Information needed | [
"# Dataset Card for \"test_repo\"\n\nMore Information needed"
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f1c139eea788f137cf0e20f07fdf0fadee13784e | This dataset contains only 100 hours train data of librispeech_clean. Functionality of librispeech-other and test-clean and dev-clean is unchanged | rohitp1/librispeech_asr_clean | [
"license:cc-by-4.0",
"region:us"
] | 2023-01-02T15:42:43+00:00 | {"license": "cc-by-4.0"} | 2023-01-03T18:08:17+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
| This dataset contains only 100 hours train data of librispeech_clean. Functionality of librispeech-other and test-clean and dev-clean is unchanged | [] | [
"TAGS\n#license-cc-by-4.0 #region-us \n"
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15
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866af329e5cf8a061d8e991f6539b16f24ae3e71 | # Dataset Card for "dsn"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | styskin/dsn | [
"region:us"
] | 2023-01-02T15:57:13+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 2779967.0, "num_examples": 100}], "download_size": 2726219, "dataset_size": 2779967.0}} | 2023-01-02T16:19:56+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dsn"
More Information needed | [
"# Dataset Card for \"dsn\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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879b465814c965cb874747a97e58d14e7e9f7f0f | # Dataset Card for "blip-preprocessed"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | peeper/blip-preprocessed | [
"region:us"
] | 2023-01-02T17:45:30+00:00 | {"dataset_info": {"features": [{"name": "labels", "sequence": "int64"}, {"name": "pixel_values", "sequence": {"sequence": {"sequence": "float32"}}}], "splits": [{"name": "train", "num_bytes": 7522975512, "num_examples": 4238}, {"name": "test", "num_bytes": 2508250212, "num_examples": 1413}], "download_size": 2847165063... | 2023-01-03T10:37:36+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "blip-preprocessed"
More Information needed | [
"# Dataset Card for \"blip-preprocessed\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"blip-preprocessed\"\n\nMore Information needed"
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b0b0fd8e86e0179c81a84e1651d6f4502230ce5e |
# Shylily Character Embedding / Textual Inversion
<img alt="Showcase" src="https://huggingface.co/datasets/Nerfgun3/shylily/resolve/main/shylily_showcase.png"/>
## Disclaimer
This is an embedding based on the VTuber Shylily, which can be found / watched on Twitch:
https://www.twitch.tv/shylily
## Usage
To use thi... | Nerfgun3/shylily | [
"language:en",
"license:creativeml-openrail-m",
"stable-diffusion",
"text-to-image",
"image-to-image",
"region:us"
] | 2023-01-02T18:45:06+00:00 | {"language": ["en"], "license": "creativeml-openrail-m", "thumbnail": "https://huggingface.co/datasets/Nerfgun3/shylily/resolve/main/shylily_showcase.png", "tags": ["stable-diffusion", "text-to-image", "image-to-image"], "inference": false} | 2023-01-02T18:49:16+00:00 | [] | [
"en"
] | TAGS
#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #image-to-image #region-us
|
# Shylily Character Embedding / Textual Inversion
<img alt="Showcase" src="URL
## Disclaimer
This is an embedding based on the VTuber Shylily, which can be found / watched on Twitch:
URL
## Usage
To use this embedding you have to download the file aswell as drop it into the "\stable-diffusion-webui\embeddings" fo... | [
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7321296d0db2953997096254d43abb79d5dd0d3c | # Dataset Card for "vitmae-roberta-processed"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | peeper/vitmae-roberta-processed | [
"region:us"
] | 2023-01-02T19:43:21+00:00 | {"dataset_info": {"features": [{"name": "labels", "sequence": "int64"}, {"name": "pixel_values", "sequence": {"sequence": {"sequence": "float32"}}}], "splits": [{"name": "train", "num_bytes": 2567566872, "num_examples": 4238}, {"name": "test", "num_bytes": 856057572, "num_examples": 1413}], "download_size": 1000718544,... | 2023-01-02T19:45:13+00:00 | [] | [] | TAGS
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62093e4100fd5c64090ec50e7e366300cef776f1 | # Dataset Card for "es_Nautical_Text_NGRAMS"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | alvarochelo/es_Nautical_Text_NGRAMS | [
"region:us"
] | 2023-01-02T20:00:38+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 473, "num_examples": 1}], "download_size": 0, "dataset_size": 473}} | 2023-01-03T21:46:45+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "es_Nautical_Text_NGRAMS"
More Information needed | [
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984e8a95dd5a663c67e92a0abb4fd549c024b177 |
### Roboflow Dataset Page
[https://universe.roboflow.com/riis/aerial-sheep/dataset/1](https://universe.roboflow.com/riis/aerial-sheep/dataset/1?ref=roboflow2huggingface)
### Dataset Labels
```
['sheep']
```
### Citation
```
@misc{ aerial-sheep_dataset,
title = { Aerial Sheep Dataset },
type = { Open Source... | keremberke/aerial-sheep-object-detection | [
"task_categories:object-detection",
"roboflow",
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] | 2023-01-02T20:17:28+00:00 | {"task_categories": ["object-detection"], "tags": ["roboflow"]} | 2023-01-05T08:02:23+00:00 | [] | [] | TAGS
#task_categories-object-detection #roboflow #region-us
|
### Roboflow Dataset Page
URL
### Dataset Labels
### License
Public Domain
### Dataset Summary
This dataset was exported via URL on December 2, 2022 at 4:47 AM GMT
Roboflow is an end-to-end computer vision platform that helps you
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c85ee099f4a4ef35662c9745c3104d14504a9be0 | # Dataset Card for MiningLegalArguments
## 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](#datas... | joelniklaus/mining_legal_arguments_agent | [
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"2208.06178"
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#license-apache-2.0 #arxiv-2208.06178 #region-us
| # Dataset Card for MiningLegalArguments
## 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
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1e659f6090028fa1d8eeedba98ada104bf4bfc98 | # Dataset Card for MiningLegalArguments
## 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](#datas... | joelniklaus/mining_legal_arguments_argType | [
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#license-apache-2.0 #arxiv-2208.06178 #region-us
| # Dataset Card for MiningLegalArguments
## Table of Contents
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- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
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- Annotations
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b451718aa256953c500322bdbacbf3aee2756004 |
Description: The National Health and Nutrition Examination Survey (NHANES) provides data and have considerable potential to study the health and environmental exposure of the non-institutionalized US population. However, as NHANES data are plagued with multiple inconsistencies, processing these data is required before... | nguyenvy/cleaned_nhanes_1988_2018 | [
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314a8abe30c8274c771070e27daffeb00a8ac76a |
# Yor Forger Character Embedding / Textual Inversion
<img alt="Showcase" src="https://huggingface.co/datasets/Nerfgun3/yor_forger/resolve/main/yor_forger_showcase.png"/>
## Disclaimer
This is an embedding based on the Anime Character Yor Forger from Spy x Family
## Usage
To use this embedding you have to download... | Nerfgun3/yor_forger | [
"language:en",
"license:creativeml-openrail-m",
"stable-diffusion",
"text-to-image",
"image-to-image",
"region:us"
] | 2023-01-02T21:02:24+00:00 | {"language": ["en"], "license": "creativeml-openrail-m", "thumbnail": "https://huggingface.co/datasets/Nerfgun3/yor_forger/resolve/main/yor_forger_showcase.png", "tags": ["stable-diffusion", "text-to-image", "image-to-image"], "inference": false} | 2023-01-02T21:08:45+00:00 | [] | [
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#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #image-to-image #region-us
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# Yor Forger Character Embedding / Textual Inversion
<img alt="Showcase" src="URL
## Disclaimer
This is an embedding based on the Anime Character Yor Forger from Spy x Family
## Usage
To use this embedding you have to download the file aswell as drop it into the "\stable-diffusion-webui\embeddings" folder
To use... | [
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fb24e6030d3545667be53171fc8c296848bf07da | Source : https://github.com/allisonhorst/palmerpenguins
Data originally published in :
Gorman KB, Williams TD, Fraser WR (2014). Ecological sexual dimorphism and environmental variability within a community of Antarctic penguins (genus Pygoscelis). PLoS ONE 9(3):e90081. https://doi.org/10.1371/journal.pone.0090081 | methodidacte/penguins | [
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#license-unknown #region-us
| Source : URL
Data originally published in :
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da0e30d826cc12c73c21cded75aecf1e30410d11 |
Dataset of Goya Paintings | BirdL/Goya-Dataset | [
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cb454d8fb5ee6d9bc82a836395f85553987f87d5 | # Dataset Card for "t5-small-october-wikipedia-2022-tokenized-512"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Tristan/t5-small-october-wikipedia-2022-tokenized-512 | [
"region:us"
] | 2023-01-02T23:03:59+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "special_tokens_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 30029601900, "num_examples": 9737225}], "download_size": 9411819822, "dataset_size": 30029601900}} | 2023-01-02T23:17:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "t5-small-october-wikipedia-2022-tokenized-512"
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9c8ca9cb5f1f6a7454465edd2c1a53dea3eb9298 | # Dataset Card for "bookcorpus_small_compact_1024_n7"
448 samples after explode graphs
`gdown 13QYq8op5XHlhL_qvdQbpYxo-pR5uAwcO` to download the assciated graph pickle
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | saibo/bookcorpus_small_compact_1024_n7 | [
"region:us"
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#region-us
| # Dataset Card for "bookcorpus_small_compact_1024_n7"
448 samples after explode graphs
'gdown 13QYq8op5XHlhL_qvdQbpYxo-pR5uAwcO' to download the assciated graph pickle
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509d0127abfb348abb94175a5cf59bef7199f9b0 | # Dataset Card for "bookcorpus_small_compact_1024_shard0_meta"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | saibo/bookcorpus_small_compact_1024_n7_meta | [
"region:us"
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#region-us
| # Dataset Card for "bookcorpus_small_compact_1024_shard0_meta"
More Information needed | [
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1e8b886a454125e7c7488630971e012264d8fb9d |
# Dataset Card for Bernice Pre-train Data
## 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](#da... | jhu-clsp/bernice-pretrain-data | [
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=======================================
Table of Contents
-----------------
* Table of Contents
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+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
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* Dataset Creation
+ ... | [
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6f2d3885aed0fc6f467ce40d00373e0f17ba246b | # Dataset Card for "origin_added_korquad"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lim4349/origin_added_korquad | [
"region:us"
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More Information needed | [
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821d77a9210bf7f1c5f595f8b900e5dd1b422176 | # Dataset Card for "korquad"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lim4349/korquad | [
"region:us"
] | 2023-01-03T02:38:32+00:00 | {"dataset_info": {"features": [{"name": "title", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "id", "dtype": "string"}, {"name": "answers", "struct": [{"name": "text", "sequence": "string"}, {"name": "answer_start", "sequence": "int64"}]}], "splits": [{"n... | 2023-01-03T02:39:12+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "korquad"
More Information needed | [
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72a73be2064bae0109a168fb8355fcf4ca3bfe2e | # Dataset Card for "AToMiC-Texts-Mapped"
## Dataset Description
- **Homepage:** [AToMiC homepage](https://trec-atomic.github.io/)
- **Source:** [WIT](https://github.com/google-research-datasets/wit)
- **Paper:** [WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning](https://arxiv.org/a... | TREC-AToMiC/AToMiC-Texts-v0.2 | [
"size_categories:100M<n<1B",
"license:cc-by-sa-4.0",
"arxiv:2103.01913",
"region:us"
] | 2023-01-03T04:29:46+00:00 | {"license": "cc-by-sa-4.0", "size_categories": ["100M<n<1B"], "dataset_info": {"features": [{"name": "text_id", "dtype": "string"}, {"name": "page_url", "dtype": "string"}, {"name": "page_title", "dtype": "string"}, {"name": "section_title", "dtype": "string"}, {"name": "context_page_description", "dtype": "string"}, {... | 2023-02-14T21:30:37+00:00 | [
"2103.01913"
] | [] | TAGS
#size_categories-100M<n<1B #license-cc-by-sa-4.0 #arxiv-2103.01913 #region-us
| # Dataset Card for "AToMiC-Texts-Mapped"
## Dataset Description
- Homepage: AToMiC homepage
- Source: WIT
- Paper: WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning
### Languages
This dataset only contains English in Wikipedia (parsed from the 20221101 XML dump).
### Data Instanc... | [
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2f1a77540906c5230aad77cb8b24f8e510024426 |
AI generated images that have relatively obvious issues
target tag: bad anatomy | trojblue/bad_ai | [
"license:gpl",
"region:us"
] | 2023-01-03T05:18:06+00:00 | {"license": "gpl"} | 2023-03-13T00:58:12+00:00 | [] | [] | TAGS
#license-gpl #region-us
|
AI generated images that have relatively obvious issues
target tag: bad anatomy | [] | [
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be60029f2bc1489690db6eb64d92dffa30f7797c | boys <3 | gweg/boys | [
"region:us"
] | 2023-01-03T06:45:26+00:00 | {"pretty_name": "Game boys genus male "} | 2023-04-14T17:57:18+00:00 | [] | [] | TAGS
#region-us
| boys <3 | [] | [
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1a5624ce04940147b55612539e157937b1e577d4 |
# Dataset Card for MNIST
## 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)
- ... | mqddb/test-dataset | [
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] | 2023-01-03T06:54:16+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["extended|other-nist"], "task_categories": ["image-classification"], "task_ids": ["multi-class-image-classific... | 2023-01-03T07:08:03+00:00 | [] | [
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|
# Dataset Card for MNIST
## 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
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4d6b88706fed4d253c7e73e23d36ec4a3570387f | # Dataset Card for "sv_corpora_parliament_processed"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | hellosimple/sv_corpora_parliament_processed | [
"region:us"
] | 2023-01-03T09:00:09+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 292351437, "num_examples": 1892723}], "download_size": 161955537, "dataset_size": 292351437}} | 2023-01-03T09:09:32+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "sv_corpora_parliament_processed"
More Information needed | [
"# Dataset Card for \"sv_corpora_parliament_processed\"\n\nMore Information needed"
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ac23016f92d5a58164e09b94825242d0422a3018 | # Dataset Card for "sidewalk-imagery2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | chiHang/sidewalk-imagery2 | [
"region:us"
] | 2023-01-03T09:21:27+00:00 | {"dataset_info": {"features": [{"name": "pixel_values", "dtype": "image"}, {"name": "label", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 3138386.0, "num_examples": 10}], "download_size": 3139599, "dataset_size": 3138386.0}} | 2023-01-03T09:21:31+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "sidewalk-imagery2"
More Information needed | [
"# Dataset Card for \"sidewalk-imagery2\"\n\nMore Information needed"
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296c87b74745521851107b27f37bc08585eab51f |
<h1>Afriqa Prebuilt Indices</h1>
Prebuilt Lucene Inverted Indices for preprocessed Afriqa Wikipedia Passages | masakhane/afriqa-prebuilt-sparse-indexes | [
"task_categories:text-retrieval",
"size_categories:100K<n<1M",
"language:en",
"language:fr",
"license:apache-2.0",
"region:us"
] | 2023-01-03T12:07:03+00:00 | {"language": ["en", "fr"], "license": "apache-2.0", "size_categories": ["100K<n<1M"], "task_categories": ["text-retrieval"], "pretty_name": "Afriqa Wikipedia 100 Inverted Indices"} | 2023-03-31T16:29:39+00:00 | [] | [
"en",
"fr"
] | TAGS
#task_categories-text-retrieval #size_categories-100K<n<1M #language-English #language-French #license-apache-2.0 #region-us
|
<h1>Afriqa Prebuilt Indices</h1>
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93ed975421b3189ca3af9ee7059d413144d8f694 | # AutoTrain Dataset for project: exact_data
## Dataset Description
This dataset has been automatically processed by AutoTrain for project exact_data.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
```json
[
... | Aman6917/autotrain-data-exact_data | [
"task_categories:summarization",
"region:us"
] | 2023-01-03T12:34:52+00:00 | {"task_categories": ["summarization"]} | 2023-01-03T12:42:34+00:00 | [] | [] | TAGS
#task_categories-summarization #region-us
| AutoTrain Dataset for project: exact\_data
==========================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project exact\_data.
### Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
-----------------... | [
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d12b7c878224d4773ecb04596ba9cf0e9a499be8 | # AutoTrain Dataset for project: tm3_model
## Dataset Description
This dataset has been automatically processed by AutoTrain for project tm3_model.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
```json
[
{
... | Aman6917/autotrain-data-tm3_model | [
"task_categories:summarization",
"region:us"
] | 2023-01-03T12:47:41+00:00 | {"task_categories": ["summarization"]} | 2023-01-03T12:52:49+00:00 | [] | [] | TAGS
#task_categories-summarization #region-us
| AutoTrain Dataset for project: tm3\_model
=========================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project tm3\_model.
### Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
-----------------
... | [
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3aafb46d72915a2378592678035999d8935e3bff | # Dataset Card for "medspeech3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arnepeine/medspeech3 | [
"region:us"
] | 2023-01-03T13:27:23+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": "audio"}, {"name": "sentence", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2290519.0, "num_examples": 24}], "download_size": 0, "dataset_size": 2290519.0}} | 2023-01-03T15:07:34+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "medspeech3"
More Information needed | [
"# Dataset Card for \"medspeech3\"\n\nMore Information needed"
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b9c7b76cbb634a3e7b59e7e055eeada03bf3b8dc | # Dataset Card for "test_dev"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | pyakymenko/test_dev | [
"region:us"
] | 2023-01-03T14:56:11+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": "audio"}, {"name": "sentence", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 57651.0, "num_examples": 2}], "download_size": 51674, "dataset_size": 57651.0}} | 2023-01-04T17:20:42+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "test_dev"
More Information needed | [
"# Dataset Card for \"test_dev\"\n\nMore Information needed"
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f926107d762b1fb99e9b7f936541d1281d55d26d | # Dataset Card for "test-github-issues"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ppl418/test-github-issues | [
"region:us"
] | 2023-01-03T15:01:53+00:00 | {"dataset_info": {"features": [{"name": "url", "dtype": "string"}, {"name": "repository_url", "dtype": "string"}, {"name": "labels_url", "dtype": "string"}, {"name": "comments_url", "dtype": "string"}, {"name": "events_url", "dtype": "string"}, {"name": "html_url", "dtype": "string"}, {"name": "id", "dtype": "int64"}, ... | 2023-01-03T15:01:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "test-github-issues"
More Information needed | [
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741e0c378ea81209c16803672db9cf5c51d4093a | # Dataset Card for "wikipedia_id_20230101"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | cahya/wikipedia_id_20230101 | [
"region:us"
] | 2023-01-03T16:04:05+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1051737365, "num_examples": 634559}], "download_size": 544132473, "dataset_size": 1051737365}} | 2023-01-03T16:04:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "wikipedia_id_20230101"
More Information needed | [
"# Dataset Card for \"wikipedia_id_20230101\"\n\nMore Information needed"
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5975141ea711bdf75d6d528989d3169863dc1239 | # Dataset Card for "beautiful_data"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | yuvalkirstain/beautiful_data | [
"region:us"
] | 2023-01-03T16:14:30+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}, {"name": "width", "dtype": "int64"}, {"name": "height", "dtype": "int64"}, {"name": "pclean", "dtype": "float64"}, {"name": "dataset_identifier", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 213007... | 2023-01-11T14:33:37+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "beautiful_data"
More Information needed | [
"# Dataset Card for \"beautiful_data\"\n\nMore Information needed"
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0b1d3e63ee735a36303025f197168de134dc530e | # AutoTrain Dataset for project: copcar
## Dataset Description
This dataset has been automatically processed by AutoTrain for project copcar.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
```json
[
{
"i... | gatman666/autotrain-data-copcar | [
"task_categories:image-classification",
"doi:10.57967/hf/0243",
"region:us"
] | 2023-01-03T17:57:15+00:00 | {"task_categories": ["image-classification"]} | 2023-03-01T21:55:26+00:00 | [] | [] | TAGS
#task_categories-image-classification #doi-10.57967/hf/0243 #region-us
| AutoTrain Dataset for project: copcar
=====================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project copcar.
### Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
-----------------
### Data Ins... | [
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0ef727f48d5f8bc2133a1b21e522458bd6f9e06f | # Dataset Card for "sample_dataset_ts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | BhavyaMuni/sample_dataset_ts | [
"region:us"
] | 2023-01-03T18:07:28+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 633903, "num_examples": 3445}], "download_size": 256343, "dataset_size": 633903}} | 2023-01-03T18:07:33+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "sample_dataset_ts"
More Information needed | [
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"passage: TAGS\n#region-us \n# Dataset Card for \"sample_dataset_ts\"\n\nMore Information needed"
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4287dd5e60f84797248b5a0723582b82bae7a5bd | # Dataset Card for "dfl_classification"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ManuD/dfl_classification | [
"region:us"
] | 2023-01-03T18:29:13+00:00 | {"dataset_info": {"features": [{"name": "file", "dtype": "string"}, {"name": "video_id", "dtype": "string"}, {"name": "time", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "label", "dtype": "int32"}, {"name": "label_str", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 8428385682.6, "... | 2023-01-05T22:21:07+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dfl_classification"
More Information needed | [
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e858c85e98b8eee9ea6bb9a9911c2a4d407e38cb | # Dataset Card for "helloworld"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Taeyoung/helloworld | [
"region:us"
] | 2023-01-03T18:46:38+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 2080649.0, "num_examples": 6}], "download_size": 0, "dataset_size": 2080649.0}} | 2023-01-03T19:16:04+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "helloworld"
More Information needed | [
"# Dataset Card for \"helloworld\"\n\nMore Information needed"
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b13f7ed769444c5b010034ed8ac5f0f0b6c87af9 |
# Spanish Books
## Dataset Description
- **Total of books:** 87,967
### Dataset Summary
Dataset of books in Spanish crawled from web and torrents.
### Preprocessing
Preprocessing performed by [spanish_nlp](https://github.com/jorgeortizfuentes/spanish_nlp).
### Licensing Information
The dataset is available u... | jorgeortizfuentes/spanish_books | [
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"language:es"... | 2023-01-03T20:50:24+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["es"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-generation", "fill-mask"], "task_ids": ["language-modeling", "mas... | 2023-01-03T21:21:44+00:00 | [] | [
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# Spanish Books
## Dataset Description
- Total of books: 87,967
### Dataset Summary
Dataset of books in Spanish crawled from web and torrents.
### Preprocessing
Preprocessing performed by spanish_nlp.
### Licensing Information
The dataset is available under the Creative Commons Attribution-ShareAlike License... | [
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d93f31174df641b5d31508e1e3b0708460f18fcb | # Dataset Card for "kratos"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | matteopilotto/kratos | [
"region:us"
] | 2023-01-03T21:33:19+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 10082811.0, "num_examples": 10}], "download_size": 10084661, "dataset_size": 10082811.0}} | 2023-01-04T07:08:38+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "kratos"
More Information needed | [
"# Dataset Card for \"kratos\"\n\nMore Information needed"
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22679caa9c01eff73bd1f02334c28112d91f4079 | # Dataset Card for "OCT_balanced"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | MauroLeidi/OCT_balanced | [
"region:us"
] | 2023-01-03T21:34:57+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "DRUSEN", "1": "NORMAL"}}}}], "splits": [{"name": "train", "num_bytes": 1037539349.736, "num_examples": 17232}, {"name": "test", "num_bytes": 21771538.0, "num_examples": 500}], "download_size":... | 2023-01-03T22:00:22+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "OCT_balanced"
More Information needed | [
"# Dataset Card for \"OCT_balanced\"\n\nMore Information needed"
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cc96c26810a89d329fdaabeef7b3ad266f73da3e | # AutoTrain Dataset for project: police-identifier
## Dataset Description
This dataset has been automatically processed by AutoTrain for project police-identifier.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:... | gatman666/autotrain-data-police-identifier | [
"task_categories:image-classification",
"region:us"
] | 2023-01-03T22:20:20+00:00 | {"task_categories": ["image-classification"]} | 2023-01-03T22:48:29+00:00 | [] | [] | TAGS
#task_categories-image-classification #region-us
| AutoTrain Dataset for project: police-identifier
================================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project police-identifier.
### Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure... | [
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47a44c793eeed725649bcd39cc7a6ec986b4904d | # Dataset Card for "GMTK-Transcripts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
## Description
Transcripts generated by Whisper's large model of [GMTK's channel](https://www.youtube.com/channel/UCqJ-Xo29CKyLTjn6z2XwYAw) | taesiri/GMTK-Transcripts | [
"region:us"
] | 2023-01-04T01:56:30+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2490682, "num_examples": 36120}], "download_size": 1595636, "dataset_size": 2490682}} | 2023-01-04T02:00:29+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "GMTK-Transcripts"
More Information needed
## Description
Transcripts generated by Whisper's large model of GMTK's channel | [
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cc8df0f224cb1a9353a92d959b095a1a1c233068 | sdfs | Sushmit/diffMed | [
"region:us"
] | 2023-01-04T02:26:17+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2346045522.71, "num_examples": 89395}], "download_size": 2318135039, "dataset_size": 2346045522.71}} | 2023-03-13T11:59:35+00:00 | [] | [] | TAGS
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585ba19c42a7c3a56d703678d289f449de4e85eb |
# 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... | Linkseed/hacker_news_with_comments | [
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|
# Dataset Card for [Dataset Name]
## Table of Contents
- Table of Contents
- Dataset Description
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ed469c08d41bc8f06be59d054c92f45fa8aba976 | # Dataset Card for "alarm_prediction"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | hamzagorgulu/alarm_prediction | [
"region:us"
] | 2023-01-04T06:36:58+00:00 | {"dataset_info": {"features": [{"name": "alarms", "dtype": "string"}, {"name": "sequence_length", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 590075.731, "num_examples": 1271}, {"name": "validation", "num_bytes": 65925.062, "num_examples": 142}], "download_size": 191168, "dataset_size": 656000.7930000... | 2023-01-04T09:56:30+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "alarm_prediction"
More Information needed | [
"# Dataset Card for \"alarm_prediction\"\n\nMore Information needed"
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2e8ed5d0c2dbceff3f65d2b0c018ca18f9d9783a | # Dataset Card for "psychiq2-dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | derenrich/psychiq2-dataset | [
"region:us"
] | 2023-01-04T06:46:18+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "labels", "dtype": {"class_label": {"names": {"0": "P31-Q5", "1": "P31-Q16521", "2": "P31-Q4167410", "3": "P31-Q11424", "4": "P31-Q482994", "5": "P31-Q13406463", "6": "P31-Q532", "7": "P31-Q27020041", "8": "P31-Q486972", "9": "P31-Q22808320", ... | 2023-01-04T06:59:48+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "psychiq2-dataset"
More Information needed | [
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04949024777c371d5cc6e85976d9287f94ff71a2 |
# Genshin Datasets for SVS/SVC/TTS
## 仓库地址
| 仓库 | 传送门 |
| :------------: | :-----------------------------------------------: |
| DiffSinger | [点此传送](https://github.com/openvpi/DiffSinger) |
| Fish Diffusion | [点此传送](https://github.com/fishaudio/fish-diffus... | Erythrocyte/Genshin_Datasets | [
"Genshin",
"Genshin Impact",
"Voice Data",
"Voice Dataset",
"DiffSinger",
"Diff-SVC",
"DiffSVC",
"Vits",
"DDSP-SVC",
"region:us"
] | 2023-01-04T06:59:36+00:00 | {"tags": ["Genshin", "Genshin Impact", "Voice Data", "Voice Dataset", "DiffSinger", "Diff-SVC", "DiffSVC", "Vits", "DDSP-SVC"]} | 2023-05-02T05:56:26+00:00 | [] | [] | TAGS
#Genshin #Genshin Impact #Voice Data #Voice Dataset #DiffSinger #Diff-SVC #DiffSVC #Vits #DDSP-SVC #region-us
| Genshin Datasets for SVS/SVC/TTS
================================
仓库地址
----
介绍
--
该数据集为训练原神 SVS/SVC/TTS 的数据集，目前提供全数据集 (Full) 和整理好的 (Sorted) 数据集，全数据集由 溯洄 的3.4版本和我自己整理的合并而成，需要自行根据项目进行预处理以及响度匹配等等。后续也会提供其它语言的语音。该数据集仅可用于二次创作和训练模型，不得进行任何商业用途！该数据集所用的语音数据的所有权均归 米哈游 所有！
下载地址（不定时更新）
-----------
整理脚本
----
如果想要从完整数据集... | [] | [
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7d9772484437c411095674310b5c297603a760f2 | # Dataset Card for "beautiful_interesting_spectacular_photo_model_30000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | yuvalkirstain/beautiful_interesting_spectacular_photo_model_30000 | [
"region:us"
] | 2023-01-04T07:43:16+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}, {"name": "width", "dtype": "int64"}, {"name": "height", "dtype": "int64"}, {"name": "pclean", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 216048045.0, "num_examples": 314}], "download_size": 2160... | 2023-01-04T07:43:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "beautiful_interesting_spectacular_photo_model_30000"
More Information needed | [
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84ab804cfcae53048713ce350017e3dfe6225fde | # Dataset Card for "beautiful_interesting_spectacular_photo_fantasy_30000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | yuvalkirstain/beautiful_interesting_spectacular_photo_fantasy_30000 | [
"region:us"
] | 2023-01-04T07:50:05+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}, {"name": "width", "dtype": "int64"}, {"name": "height", "dtype": "int64"}, {"name": "pclean", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 268414188.0, "num_examples": 317}], "download_size": 2684... | 2023-01-04T07:50:32+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "beautiful_interesting_spectacular_photo_fantasy_30000"
More Information needed | [
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3e48b7963475b55341dc09c108b6a7684c3d6d1f | # Dataset Card for "beautiful_interesting_spectacular_photo_dark_fantasy_30000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | yuvalkirstain/beautiful_interesting_spectacular_photo_dark_fantasy_30000 | [
"region:us"
] | 2023-01-04T07:57:37+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}, {"name": "width", "dtype": "int64"}, {"name": "height", "dtype": "int64"}, {"name": "pclean", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 533716832.0, "num_examples": 718}], "download_size": 5337... | 2023-01-04T07:58:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "beautiful_interesting_spectacular_photo_dark_fantasy_30000"
More Information needed | [
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33354022c52971b0f34e7367b78fd6a37d80d66b | # Dataset Card for "alarm_prediction2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | hamzagorgulu/alarm_prediction2 | [
"region:us"
] | 2023-01-04T07:59:55+00:00 | {"dataset_info": {"features": [{"name": "alarms", "dtype": "string"}, {"name": "sequence_length", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 5160488.637481801, "num_examples": 10905}, {"name": "validation", "num_bytes": 573545.3671369045, "num_examples": 1212}], "download_size": 1179619, "dataset_siz... | 2023-01-04T08:00:20+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "alarm_prediction2"
More Information needed | [
"# Dataset Card for \"alarm_prediction2\"\n\nMore Information needed"
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e6a8589f70429398fdf99baab997f7a7a46e4b72 | # Dataset Card for "beautiful_interesting_spectacular_photo_anime_25000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | yuvalkirstain/beautiful_interesting_spectacular_photo_anime_25000 | [
"region:us"
] | 2023-01-04T08:12:15+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}, {"name": "width", "dtype": "int64"}, {"name": "height", "dtype": "int64"}, {"name": "pclean", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 773920358.0, "num_examples": 956}], "download_size": 7739... | 2023-01-04T08:13:20+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "beautiful_interesting_spectacular_photo_anime_25000"
More Information needed | [
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3ee237788da7c69c53188e34f778a7b61b479af7 | # Dataset Card for "online-sweater"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | chiHang/online-sweater | [
"region:us"
] | 2023-01-04T08:18:14+00:00 | {"dataset_info": {"features": [{"name": "pixel_values", "dtype": "image"}, {"name": "label", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 1126581.0, "num_examples": 10}], "download_size": 0, "dataset_size": 1126581.0}} | 2023-01-12T07:56:28+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "online-sweater"
More Information needed | [
"# Dataset Card for \"online-sweater\"\n\nMore Information needed"
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773520b8eea5f9f29ba65740853510fcd6ad1b0c | # Dataset Card for "beautiful_interesting_spectacular_photo_futuristic_25000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | yuvalkirstain/beautiful_interesting_spectacular_photo_futuristic_25000 | [
"region:us"
] | 2023-01-04T08:22:17+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}, {"name": "width", "dtype": "int64"}, {"name": "height", "dtype": "int64"}, {"name": "pclean", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 406730039.0, "num_examples": 596}], "download_size": 4067... | 2023-01-04T08:22:52+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "beautiful_interesting_spectacular_photo_futuristic_25000"
More Information needed | [
"# Dataset Card for \"beautiful_interesting_spectacular_photo_futuristic_25000\"\n\nMore Information needed"
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10544092a3d76e2eb2bad55e4e5ef40e165a8f71 | # Dataset Card for "beautiful_interesting_spectacular_photo_25000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | yuvalkirstain/beautiful_interesting_spectacular_photo_25000 | [
"region:us"
] | 2023-01-04T08:31:50+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}, {"name": "width", "dtype": "int64"}, {"name": "height", "dtype": "int64"}, {"name": "pclean", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 94714209.0, "num_examples": 111}], "download_size": 94717... | 2023-01-04T08:32:05+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "beautiful_interesting_spectacular_photo_25000"
More Information needed | [
"# Dataset Card for \"beautiful_interesting_spectacular_photo_25000\"\n\nMore Information needed"
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37b30417fc61d2017d88b07bb5c9de096182d1b2 | # Dataset Card for "beautiful_interesting_spectacular_photo_HD_25000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | yuvalkirstain/beautiful_interesting_spectacular_photo_HD_25000 | [
"region:us"
] | 2023-01-04T08:36:12+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}, {"name": "width", "dtype": "int64"}, {"name": "height", "dtype": "int64"}, {"name": "pclean", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 73481451.0, "num_examples": 94}], "download_size": 734854... | 2023-01-04T08:36:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "beautiful_interesting_spectacular_photo_HD_25000"
More Information needed | [
"# Dataset Card for \"beautiful_interesting_spectacular_photo_HD_25000\"\n\nMore Information needed"
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c2fc4c386a6eb488561e194fd9692eac21fe97ae | # Dataset Card for "beautiful_interesting_spectacular_photo_medieval_25000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | yuvalkirstain/beautiful_interesting_spectacular_photo_medieval_25000 | [
"region:us"
] | 2023-01-04T08:46:43+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}, {"name": "width", "dtype": "int64"}, {"name": "height", "dtype": "int64"}, {"name": "pclean", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 195631184.0, "num_examples": 198}], "download_size": 1955... | 2023-01-04T08:47:05+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "beautiful_interesting_spectacular_photo_medieval_25000"
More Information needed | [
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fdc848ab0183208ea7808206c91c724414d0a071 |
# Dataset Card for 🥤SODA
## Dataset Description
- **Repository:** [Code](https://github.com/skywalker023/sodaverse)
- **Paper:** [SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization](https://arxiv.org/abs/2212.10465)
- **Point of Contact:** [Hyunwoo Kim](mailto:hyunwook@allenai.org)
... | allenai/soda | [
"task_categories:conversational",
"task_ids:dialogue-generation",
"language_creators:machine-generated",
"multilinguality:monolingual",
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"source_datasets:extended|Atomic10x",
"language:en",
"license:cc-by-4.0",
"dialogue",
"narrative",
"co... | 2023-01-04T08:51:53+00:00 | {"language_creators": ["machine-generated"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["original", "extended|Atomic10x"], "task_categories": ["conversational"], "task_ids": ["dialogue-generation"], "pretty_name": "SODA", "annot... | 2023-01-04T09:24:32+00:00 | [
"2212.10465"
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=====================
Dataset Description
-------------------
* Repository: Code
* Paper: SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization
* Point of Contact: Hyunwoo Kim
Dataset Summary
---------------
SODA is the first publicly available, million-scale,... | [
"### Further Details, Social Impacts, and Limitations\n\n\nPlease refer to our paper.\n\n\nTrained Model\n-------------\n\n\nUsing SODA, we train COSMO: a generalizable conversation agent outperforming previous best-performing agents on both in- and out-of-domain datasets. COSMO-3B is available here!\n\n\nAddition... | [
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688c67b1fef4d625fd3e928ca5638f1d173b4fb5 | # Dataset Card for "alarm_prediction3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | hamzagorgulu/alarm_prediction3 | [
"region:us"
] | 2023-01-04T09:57:11+00:00 | {"dataset_info": {"features": [{"name": "alarms", "dtype": "string"}, {"name": "sequence_length", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 590075.731, "num_examples": 1271}, {"name": "validation", "num_bytes": 65925.062, "num_examples": 142}], "download_size": 191168, "dataset_size": 656000.7930000... | 2023-01-04T10:17:04+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "alarm_prediction3"
More Information needed | [
"# Dataset Card for \"alarm_prediction3\"\n\nMore Information needed"
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d1ac575dc099ce61986efd101ed34b25455bd556 |
## starcraft-remastered-melee-maps
This is a dataset containing 1,815 Starcraft:Remastered melee maps, categorized into tilesets.
The dataset is used to train this model: https://huggingface.co/wdcqc/starcraft-platform-terrain-32x32
The dataset is manually downloaded from Battle.net, bounding.net (scmscx.com) and b... | wdcqc/starcraft-remastered-melee-maps | [
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"language:ko",
"license:unknown",
"starcraft",
"broodwar",
"melee",
"maps",
... | 2023-01-04T10:38:40+00:00 | {"language": ["en", "ko"], "license": "unknown", "size_categories": "1K<n<10K", "task_categories": ["feature-extraction", "text-to-image", "image-to-image", "reinforcement-learning"], "task_ids": ["task-planning"], "pretty_name": "Starcraft Remastered Melee Maps", "tags": ["starcraft", "broodwar", "melee", "maps"], "sp... | 2023-01-06T22:38:36+00:00 | [] | [
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|
## starcraft-remastered-melee-maps
This is a dataset containing 1,815 Starcraft:Remastered melee maps, categorized into tilesets.
The dataset is used to train this model: URL
The dataset is manually downloaded from URL, URL (URL) and URL over a long period of time.
To use this dataset, extract the 'staredit\\URL' ... | [
"## starcraft-remastered-melee-maps\n\nThis is a dataset containing 1,815 Starcraft:Remastered melee maps, categorized into tilesets.\n\nThe dataset is used to train this model: URL\n\nThe dataset is manually downloaded from URL, URL (URL) and URL over a long period of time.\n\nTo use this dataset, extract the 'sta... | [
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fb8c3263adf9284583743bd955306187a2d77757 | # Dataset Card for "beautiful_data_with_generated_captions"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | yuvalkirstain/beautiful_data_with_generated_captions | [
"region:us"
] | 2023-01-04T11:01:28+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}, {"name": "width", "dtype": "int64"}, {"name": "height", "dtype": "int64"}, {"name": "pclean", "dtype": "float64"}, {"name": "generated_caption", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 25675502... | 2023-01-04T14:24:07+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "beautiful_data_with_generated_captions"
More Information needed | [
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1227dd2f87c2c044fb90885ed2ba2dda0f6ff5c6 | 35 dataset images for FloralMarble. Originally created an embedding for statues and busts on a colored background, then mixed that with various other embeddings, resulting in this dataset.
Trained for 500 epochs/steps. 35 images, 4 vectors. Batch size of 7, 5 grad acc steps, learning rate of 0.0025:250,0.001:500.
![F... | spaablauw/FloralMarble_dataset | [
"license:wtfpl",
"region:us"
] | 2023-01-04T13:22:20+00:00 | {"license": "wtfpl"} | 2023-01-04T13:28:07+00:00 | [] | [] | TAGS
#license-wtfpl #region-us
| 35 dataset images for FloralMarble. Originally created an embedding for statues and busts on a colored background, then mixed that with various other embeddings, resulting in this dataset.
Trained for 500 epochs/steps. 35 images, 4 vectors. Batch size of 7, 5 grad acc steps, learning rate of 0.0025:250,0.001:500.
!Fl... | [] | [
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a7de0e452152e1deffcb8b95c40ce0da323028dd | # Dataset Card for "sketchy-svgs"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | kmewhort/sketchy-svgs | [
"region:us"
] | 2023-01-04T13:46:16+00:00 | {"dataset_info": {"features": [{"name": "label", "dtype": {"class_label": {"names": {"0": "airplane", "1": "alarm_clock", "2": "ant", "3": "ape", "4": "apple", "5": "armor", "6": "axe", "7": "banana", "8": "bat", "9": "bear", "10": "bee", "11": "beetle", "12": "bell", "13": "bench", "14": "bicycle", "15": "blimp", "16"... | 2023-01-04T16:20:18+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "sketchy-svgs"
More Information needed | [
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6e44270571f150dd0c42722bb6397632f1e65300 | # AutoTrain Dataset for project: breastcancer
## Dataset Description
This dataset has been automatically processed by AutoTrain for project breastcancer.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
```json
... | hatemestinbejaia/autotrain-data-breastcancer | [
"task_categories:image-classification",
"region:us"
] | 2023-01-04T15:13:32+00:00 | {"task_categories": ["image-classification"]} | 2023-01-04T23:50:49+00:00 | [] | [] | TAGS
#task_categories-image-classification #region-us
| AutoTrain Dataset for project: breastcancer
===========================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project breastcancer.
### Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
--------------... | [
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88f8f927031cd751c19338fa4af321c46e67ab0d |
# Dataset Card for MDK
This dataset was created as part of the [Bertelsmann Foundation's](https://www.bertelsmann-stiftung.de/de/startseite)
[Musterdatenkatalog (MDK)]("https://www.bertelsmann-stiftung.de/de/unsere-projekte/smart-country/musterdatenkatalog") project. The MDK provides an overview of Open Data in muni... | and-effect/mdk_gov_data_titles_clf | [
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"size_categories:1K<n<10K",
"source_datasets:extended",
"language:de",
"license:cc-by-4.0",
"region:us"
] | 2023-01-04T16:20:31+00:00 | {"annotations_creators": "crowdsourced", "language_creators": "other", "language": "de", "license": "cc-by-4.0", "multilinguality": "monolingual", "size_categories": ["1K<n<10K"], "source_datasets": "extended", "task_categories": ["text-classification"], "pretty_name": "GOVDATA dataset titles labelled"} | 2023-05-25T11:43:42+00:00 | [] | [
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#task_categories-text-classification #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-extended #language-German #license-cc-by-4.0 #region-us
| Dataset Card for MDK
====================
This dataset was created as part of the Bertelsmann Foundation's
Musterdatenkatalog (MDK) project. The MDK provides an overview of Open Data in municipalities in Germany. It is intended to help municipalities in Germany, as well as data analysts and journalists, to get an ove... | [
"### Dataset Summary\n\n\nThe dataset is an annotated corpus of 1258 records based on the metadata of the datasets from GOVDATA. GovData is a data portal that aims to make cities' data available in a standardized way.\n\n\nThe annotation maps the titles of the datasets to a taxonomy containing categories such as 'V... | [
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410cdf9488714b70e20de89b217e95f856c67030 | # Dataset Card for "test-captioned-dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Umal-exvc/test-captioned-dataset | [
"region:us"
] | 2023-01-04T16:23:40+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 111187.0, "num_examples": 5}], "download_size": 111705, "dataset_size": 111187.0}} | 2023-01-04T16:23:44+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "test-captioned-dataset"
More Information needed | [
"# Dataset Card for \"test-captioned-dataset\"\n\nMore Information needed"
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8a57a3124b980bf171ddeaecb5fb2b7a39374689 | # Dataset Card for "tu-berlin-svgs"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | kmewhort/tu-berlin-svgs | [
"region:us"
] | 2023-01-04T16:34:42+00:00 | {"dataset_info": {"features": [{"name": "label", "dtype": {"class_label": {"names": {"0": "airplane", "1": "alarm clock", "2": "angel", "3": "ant", "4": "apple", "5": "arm", "6": "armchair", "7": "ashtray", "8": "axe", "9": "backpack", "10": "banana", "11": "barn", "12": "baseball bat", "13": "basket", "14": "bathtub",... | 2023-01-10T19:20:44+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "tu-berlin-svgs"
More Information needed | [
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d3ee81f581595ba9a1b08989000c0a4240ac6892 | # Dataset Card for "OxfordPets_facebook_opt_350m_LLM_Description_gpt3_downstream_tasks_ViT_L_14"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/OxfordPets_facebook_opt_350m_LLM_Description_gpt3_downstream_tasks_ViT_L_14 | [
"region:us"
] | 2023-01-04T17:07:09+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 119984114.375, "num_examples": 3669}], "download_size... | 2023-01-04T17:07:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "OxfordPets_facebook_opt_350m_LLM_Description_gpt3_downstream_tasks_ViT_L_14"
More Information needed | [
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"passage: TAGS\n#region-us \n# Dataset Card for \"OxfordPets_facebook_opt_350m_LLM_Description_gpt3_downstream_tasks_ViT_L_14\"\n\nMore Information needed"
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ba4684a1a6f7d00b82a58925777269bd7ff7f2c5 | # Dataset Card for Zinc20
## Dataset Description
- **Homepage:** https://zinc20.docking.org/
- **Paper:** https://pubs.acs.org/doi/10.1021/acs.jcim.0c00675
### Dataset Summary
ZINC is a publicly available database that aggregates commercially available and annotated compounds.
ZINC provides downloadable 2D and 3D ... | zpn/zinc20 | [
"size_categories:1B<n<10B",
"license:mit",
"bio",
"selfies",
"smiles",
"small_molecules",
"region:us"
] | 2023-01-04T17:32:47+00:00 | {"license": "mit", "size_categories": ["1B<n<10B"], "pretty_name": "zinc20", "dataset_info": {"features": [{"name": "selfies", "dtype": "string"}, {"name": "smiles", "dtype": "string"}, {"name": "id", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 238295712864, "num_examples": 804925861}, {"name": "vali... | 2023-01-06T02:03:46+00:00 | [] | [] | TAGS
#size_categories-1B<n<10B #license-mit #bio #selfies #smiles #small_molecules #region-us
| # Dataset Card for Zinc20
## Dataset Description
- Homepage: URL
- Paper: URL
### Dataset Summary
ZINC is a publicly available database that aggregates commercially available and annotated compounds.
ZINC provides downloadable 2D and 3D versions as well as a website that enables rapid molecule lookup and analog se... | [
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ccfc48a7e02b349c04c506937c014b85945130ee |
### Roboflow Dataset Page
https://universe.roboflow.com/smoke-detection/smoke100-uwe4t/dataset/4
### Dataset Labels
```
['smoke']
```
### Citation
```
@misc{ smoke100-uwe4t_dataset,
title = { Smoke100 Dataset },
type = { Open Source Dataset },
author = { Smoke Detection },
howpublished = { \\url{ h... | keremberke/smoke-object-detection | [
"task_categories:object-detection",
"roboflow",
"region:us"
] | 2023-01-04T20:41:37+00:00 | {"task_categories": ["object-detection"], "tags": ["roboflow"]} | 2023-01-04T20:54:45+00:00 | [] | [] | TAGS
#task_categories-object-detection #roboflow #region-us
|
### Roboflow Dataset Page
URL
### Dataset Labels
### License
CC BY 4.0
### Dataset Summary
This dataset was exported via URL on March 17, 2022 at 3:42 PM GMT
It includes 21578 images.
Smoke are annotated in COCO format.
The following pre-processing was applied to each image:
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b526fa706ed98817ebf35bf66bf5c27f5174dffc | # Dataset Card for "septuagint"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | epaolinos/septuagint | [
"region:us"
] | 2023-01-04T21:31:08+00:00 | {"dataset_info": {"features": [{"name": "Book", "dtype": "string"}, {"name": "Chapter", "dtype": "int64"}, {"name": "Verse Number", "dtype": "int64"}, {"name": "Verse Text", "dtype": "string"}, {"name": "Genre", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 9101054, "num_examples": 30568}], "download_s... | 2023-01-04T21:31:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "septuagint"
More Information needed | [
"# Dataset Card for \"septuagint\"\n\nMore Information needed"
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e78e05770d11783d5a49429b17f2dc157730a7f3 | # Dataset Card for "dreambooth-hackathon-images"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Amy12zz/dreambooth-hackathon-images | [
"region:us"
] | 2023-01-04T22:05:18+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 1047395.0, "num_examples": 4}], "download_size": 1047434, "dataset_size": 1047395.0}} | 2023-01-04T22:05:25+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dreambooth-hackathon-images"
More Information needed | [
"# Dataset Card for \"dreambooth-hackathon-images\"\n\nMore Information needed"
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ea57ec2a2257d517f92775b6ce1083df76837ee0 | # Dataset Card for "processed_sroie_donut_dataset_json2token"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ivelin/processed_sroie_donut_dataset_json2token | [
"region:us"
] | 2023-01-05T00:19:04+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 586245601.0, "num_examples": 626}], "download_size": 577293738, "dataset_size": 586245601.0}} | 2023-01-05T00:19:38+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "processed_sroie_donut_dataset_json2token"
More Information needed | [
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b19eec145643c02045f384962d69ab4cb98ed6fb | # Dataset Card for "processed_sroie_donut_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ivelin/processed_sroie_donut_dataset | [
"region:us"
] | 2023-01-05T00:28:11+00:00 | {"dataset_info": {"features": [{"name": "pixel_values", "sequence": {"sequence": {"sequence": "float32"}}}, {"name": "labels", "sequence": "int64"}, {"name": "target_sequence", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 9243064809, "num_examples": 626}], "download_size": 919646545, "dataset_size": 9... | 2023-01-05T01:01:56+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "processed_sroie_donut_dataset"
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eda2739be485cc048f79950aa94fa84a62ed4d61 | # Dataset Card for "processed_sroie_donut_dataset_train_test_split"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ivelin/processed_sroie_donut_dataset_train_test_split | [
"region:us"
] | 2023-01-05T00:36:08+00:00 | {"dataset_info": {"features": [{"name": "pixel_values", "sequence": {"sequence": {"sequence": "float32"}}}, {"name": "labels", "sequence": "int64"}, {"name": "target_sequence", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 8312852216.400958, "num_examples": 563}, {"name": "test", "num_bytes": 930212592... | 2023-01-05T01:05:53+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "processed_sroie_donut_dataset_train_test_split"
More Information needed | [
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4f585f6a98085f8b05ef4df964f6e93de1ced0c8 | Images | ariciano/images | [
"region:us"
] | 2023-01-05T00:51:29+00:00 | {} | 2023-01-05T01:06:49+00:00 | [] | [] | TAGS
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e2824b6afcb102d19833d33712b1b6d56c712a9e |
# Dataset Card for `antique`
The `antique` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/antique#antique).
# Data
This dataset provides:
- `docs` (documents, i.e., the corpus); count=403,666
This d... | irds/antique | [
"task_categories:text-retrieval",
"region:us"
] | 2023-01-05T01:47:04+00:00 | {"source_datasets": [], "task_categories": ["text-retrieval"], "pretty_name": "`antique`", "viewer": false} | 2023-01-05T02:43:08+00:00 | [] | [] | TAGS
#task_categories-text-retrieval #region-us
|
# Dataset Card for 'antique'
The 'antique' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
# Data
This dataset provides:
- 'docs' (documents, i.e., the corpus); count=403,666
This dataset is used by: 'antique_test', 'antique_test_non-offensive', 'antiq... | [
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62a770a02ce76920e093391a25806e14cd3bfd82 |
# Dataset Card for `antique/test`
The `antique/test` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/antique#antique/test).
# Data
This dataset provides:
- `queries` (i.e., topics); count=200
- `qrels... | irds/antique_test | [
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"region:us"
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#task_categories-text-retrieval #source_datasets-irds/antique #region-us
|
# Dataset Card for 'antique/test'
The 'antique/test' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
# Data
This dataset provides:
- 'queries' (i.e., topics); count=200
- 'qrels': (relevance assessments); count=6,589
- For 'docs', use 'irds/antique'
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25fec169c670281089ac223682bd521eb0f005fe |
# Dataset Card for `antique/test/non-offensive`
The `antique/test/non-offensive` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/antique#antique/test/non-offensive).
# Data
This dataset provides:
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#task_categories-text-retrieval #source_datasets-irds/antique #region-us
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# Dataset Card for 'antique/test/non-offensive'
The 'antique/test/non-offensive' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
# Data
This dataset provides:
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1d244f247e15d199b38ee5b410a63958809fbd02 |
# Dataset Card for `antique/train`
The `antique/train` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/antique#antique/train).
# Data
This dataset provides:
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# Dataset Card for 'antique/train'
The 'antique/train' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
# Data
This dataset provides:
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- 'qrels': (relevance assessments); count=27,422
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# Dataset Card for `antique/train/split200-train`
The `antique/train/split200-train` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/antique#antique/train/split200-train).
# Data
This dataset provides:
... | irds/antique_train_split200-train | [
"task_categories:text-retrieval",
"source_datasets:irds/antique",
"region:us"
] | 2023-01-05T02:19:16+00:00 | {"source_datasets": ["irds/antique"], "task_categories": ["text-retrieval"], "pretty_name": "`antique/train/split200-train`", "viewer": false} | 2023-01-05T02:43:26+00:00 | [] | [] | TAGS
#task_categories-text-retrieval #source_datasets-irds/antique #region-us
|
# Dataset Card for 'antique/train/split200-train'
The 'antique/train/split200-train' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
# Data
This dataset provides:
- 'queries' (i.e., topics); count=2,226
- 'qrels': (relevance assessments); count=25,229
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# Dataset Card for `antique/train/split200-valid`
The `antique/train/split200-valid` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/antique#antique/train/split200-valid).
# Data
This dataset provides:
... | irds/antique_train_split200-valid | [
"task_categories:text-retrieval",
"source_datasets:irds/antique",
"region:us"
] | 2023-01-05T02:19:27+00:00 | {"source_datasets": ["irds/antique"], "task_categories": ["text-retrieval"], "pretty_name": "`antique/train/split200-valid`", "viewer": false} | 2023-01-05T02:43:31+00:00 | [] | [] | TAGS
#task_categories-text-retrieval #source_datasets-irds/antique #region-us
|
# Dataset Card for 'antique/train/split200-valid'
The 'antique/train/split200-valid' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
# Data
This dataset provides:
- 'queries' (i.e., topics); count=200
- 'qrels': (relevance assessments); count=2,193
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# Dataset Card for `aquaint`
The `aquaint` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/aquaint#aquaint).
# Data
This dataset provides:
- `docs` (documents, i.e., the corpus); count=1,033,461
This... | irds/aquaint | [
"task_categories:text-retrieval",
"region:us"
] | 2023-01-05T02:19:38+00:00 | {"source_datasets": [], "task_categories": ["text-retrieval"], "pretty_name": "`aquaint`", "viewer": false} | 2023-01-05T02:44:06+00:00 | [] | [] | TAGS
#task_categories-text-retrieval #region-us
|
# Dataset Card for 'aquaint'
The 'aquaint' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
# Data
This dataset provides:
- 'docs' (documents, i.e., the corpus); count=1,033,461
This dataset is used by: 'aquaint_trec-robust-2005'
## Usage
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# Dataset Card for `aquaint/trec-robust-2005`
The `aquaint/trec-robust-2005` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/aquaint#aquaint/trec-robust-2005).
# Data
This dataset provides:
- `queries`... | irds/aquaint_trec-robust-2005 | [
"task_categories:text-retrieval",
"source_datasets:irds/aquaint",
"region:us"
] | 2023-01-05T02:19:49+00:00 | {"source_datasets": ["irds/aquaint"], "task_categories": ["text-retrieval"], "pretty_name": "`aquaint/trec-robust-2005`", "viewer": false} | 2023-01-05T02:44:10+00:00 | [] | [] | TAGS
#task_categories-text-retrieval #source_datasets-irds/aquaint #region-us
|
# Dataset Card for 'aquaint/trec-robust-2005'
The 'aquaint/trec-robust-2005' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
# Data
This dataset provides:
- 'queries' (i.e., topics); count=50
- 'qrels': (relevance assessments); count=37,798
- For 'doc... | [
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# Dataset Card for `beir/arguana`
The `beir/arguana` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/beir#beir/arguana).
# Data
This dataset provides:
- `docs` (documents, i.e., the corpus); count=8,67... | irds/beir_arguana | [
"task_categories:text-retrieval",
"arxiv:2104.08663",
"region:us"
] | 2023-01-05T02:20:01+00:00 | {"source_datasets": [], "task_categories": ["text-retrieval"], "pretty_name": "`beir/arguana`", "viewer": false} | 2023-01-05T02:44:15+00:00 | [
"2104.08663"
] | [] | TAGS
#task_categories-text-retrieval #arxiv-2104.08663 #region-us
|
# Dataset Card for 'beir/arguana'
The 'beir/arguana' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
# Data
This dataset provides:
- 'docs' (documents, i.e., the corpus); count=8,674
- 'queries' (i.e., topics); count=1,406
- 'qrels': (relevance assessm... | [
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# Dataset Card for `beir/climate-fever`
The `beir/climate-fever` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/beir#beir/climate-fever).
# Data
This dataset provides:
- `docs` (documents, i.e., the c... | irds/beir_climate-fever | [
"task_categories:text-retrieval",
"arxiv:2104.08663",
"region:us"
] | 2023-01-05T02:20:12+00:00 | {"source_datasets": [], "task_categories": ["text-retrieval"], "pretty_name": "`beir/climate-fever`", "viewer": false} | 2023-01-05T02:44:20+00:00 | [
"2104.08663"
] | [] | TAGS
#task_categories-text-retrieval #arxiv-2104.08663 #region-us
|
# Dataset Card for 'beir/climate-fever'
The 'beir/climate-fever' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
# Data
This dataset provides:
- 'docs' (documents, i.e., the corpus); count=5,416,593
- 'queries' (i.e., topics); count=1,535
- 'qrels': (r... | [
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17727173215cb2034ee1943eea2cd6125b88f7f6 |
# Dataset Card for `beir/dbpedia-entity`
The `beir/dbpedia-entity` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/beir#beir/dbpedia-entity).
# Data
This dataset provides:
- `docs` (documents, i.e., th... | irds/beir_dbpedia-entity | [
"task_categories:text-retrieval",
"arxiv:2104.08663",
"region:us"
] | 2023-01-05T02:20:23+00:00 | {"source_datasets": [], "task_categories": ["text-retrieval"], "pretty_name": "`beir/dbpedia-entity`", "viewer": false} | 2023-01-05T02:44:24+00:00 | [
"2104.08663"
] | [] | TAGS
#task_categories-text-retrieval #arxiv-2104.08663 #region-us
|
# Dataset Card for 'beir/dbpedia-entity'
The 'beir/dbpedia-entity' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
# Data
This dataset provides:
- 'docs' (documents, i.e., the corpus); count=4,635,922
- 'queries' (i.e., topics); count=467
This dataset... | [
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4f7dd1e62b688e00d665ddee9aef5935eb7d8568 |
# Dataset Card for `beir/dbpedia-entity/dev`
The `beir/dbpedia-entity/dev` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/beir#beir/dbpedia-entity/dev).
# Data
This dataset provides:
- `queries` (i.e.... | irds/beir_dbpedia-entity_dev | [
"task_categories:text-retrieval",
"source_datasets:irds/beir_dbpedia-entity",
"arxiv:2104.08663",
"region:us"
] | 2023-01-05T02:20:34+00:00 | {"source_datasets": ["irds/beir_dbpedia-entity"], "task_categories": ["text-retrieval"], "pretty_name": "`beir/dbpedia-entity/dev`", "viewer": false} | 2023-01-05T02:44:29+00:00 | [
"2104.08663"
] | [] | TAGS
#task_categories-text-retrieval #source_datasets-irds/beir_dbpedia-entity #arxiv-2104.08663 #region-us
|
# Dataset Card for 'beir/dbpedia-entity/dev'
The 'beir/dbpedia-entity/dev' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
# Data
This dataset provides:
- 'queries' (i.e., topics); count=67
- 'qrels': (relevance assessments); count=5,673
- For 'docs',... | [
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46e0094ded9f08ae0454de048c60f70ddf77eb52 |
# Dataset Card for `beir/dbpedia-entity/test`
The `beir/dbpedia-entity/test` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/beir#beir/dbpedia-entity/test).
# Data
This dataset provides:
- `queries` (i... | irds/beir_dbpedia-entity_test | [
"task_categories:text-retrieval",
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"arxiv:2104.08663",
"region:us"
] | 2023-01-05T02:44:34+00:00 | {"source_datasets": ["irds/beir_dbpedia-entity"], "task_categories": ["text-retrieval"], "pretty_name": "`beir/dbpedia-entity/test`", "viewer": false} | 2023-01-05T02:44:40+00:00 | [
"2104.08663"
] | [] | TAGS
#task_categories-text-retrieval #source_datasets-irds/beir_dbpedia-entity #arxiv-2104.08663 #region-us
|
# Dataset Card for 'beir/dbpedia-entity/test'
The 'beir/dbpedia-entity/test' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
# Data
This dataset provides:
- 'queries' (i.e., topics); count=400
- 'qrels': (relevance assessments); count=43,515
- For 'do... | [
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# Dataset Card for `beir/fever`
The `beir/fever` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/beir#beir/fever).
# Data
This dataset provides:
- `docs` (documents, i.e., the corpus); count=5,416,568
... | irds/beir_fever | [
"task_categories:text-retrieval",
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"region:us"
] | 2023-01-05T02:44:45+00:00 | {"source_datasets": [], "task_categories": ["text-retrieval"], "pretty_name": "`beir/fever`", "viewer": false} | 2023-01-05T02:44:51+00:00 | [
"2104.08663"
] | [] | TAGS
#task_categories-text-retrieval #arxiv-2104.08663 #region-us
|
# Dataset Card for 'beir/fever'
The 'beir/fever' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
# Data
This dataset provides:
- 'docs' (documents, i.e., the corpus); count=5,416,568
- 'queries' (i.e., topics); count=123,142
This dataset is used by: '... | [
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