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01b5203a600c3bde5dbf229adee63962608e0714 | # Dataset Card for "text_summarization_dataset3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | shahidul034/text_summarization_dataset3 | [
"region:us"
] | 2022-11-01T02:15:46+00:00 | {"dataset_info": {"features": [{"name": "title", "dtype": "string"}, {"name": "content", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 123296943, "num_examples": 103365}], "download_size": 41220771, "dataset_size": 123296943}} | 2022-11-01T02:15:51+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "text_summarization_dataset3"
More Information needed | [
"# Dataset Card for \"text_summarization_dataset3\"\n\nMore Information needed"
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a4910c6c1646eacfcb88f7703e2e0bd7fdee559c | # Dataset Card for "text_summarization_dataset4"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | shahidul034/text_summarization_dataset4 | [
"region:us"
] | 2022-11-01T02:16:12+00:00 | {"dataset_info": {"features": [{"name": "title", "dtype": "string"}, {"name": "content", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 111909333, "num_examples": 87633}], "download_size": 38273895, "dataset_size": 111909333}} | 2022-11-01T02:16:16+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "text_summarization_dataset4"
More Information needed | [
"# Dataset Card for \"text_summarization_dataset4\"\n\nMore Information needed"
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945ac8484e1efc07ad26996071343822dad8dc3b | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: 123tarunanand/roberta-base-finetuned
* Dataset: adversarial_qa
* Config: adversarialQA
* Split: validatio... | autoevaluate/autoeval-eval-adversarial_qa-adversarialQA-cadd10-1947965536 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-01T02:40:38+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["adversarial_qa"], "eval_info": {"task": "extractive_question_answering", "model": "123tarunanand/roberta-base-finetuned", "metrics": [], "dataset_name": "adversarial_qa", "dataset_config": "adversarialQA", "dataset_split": "validation", "col_map... | 2022-11-01T02:41:47+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: 123tarunanand/roberta-base-finetuned
* Dataset: adversarial_qa
* Config: adversarialQA
* Split: validation
To run new evaluation jobs, visit... | [
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16a66c3fda4c2dbb68195d70bf51148d3edb86cf |
# CTKFacts dataset for Document retrieval
Czech Natural Language Inference dataset of ~3K *evidence*-*claim* pairs labelled with SUPPORTS, REFUTES or NOT ENOUGH INFO veracity labels. Extracted from a round of fact-checking experiments concluded and described within the [CsFEVER andCTKFacts: Acquiring Czech data for F... | ctu-aic/ctkfacts | [
"license:cc-by-sa-3.0",
"arxiv:2201.11115",
"region:us"
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"2201.11115"
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#license-cc-by-sa-3.0 #arxiv-2201.11115 #region-us
|
# CTKFacts dataset for Document retrieval
Czech Natural Language Inference dataset of ~3K *evidence*-*claim* pairs labelled with SUPPORTS, REFUTES or NOT ENOUGH INFO veracity labels. Extracted from a round of fact-checking experiments concluded and described within the CsFEVER andCTKFacts: Acquiring Czech data for Fa... | [
"# CTKFacts dataset for Document retrieval\n\nCzech Natural Language Inference dataset of ~3K *evidence*-*claim* pairs labelled with SUPPORTS, REFUTES or NOT ENOUGH INFO veracity labels. Extracted from a round of fact-checking experiments concluded and described within the CsFEVER andCTKFacts: Acquiring Czech data ... | [
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31504c14df60081992b939f8acab2762d4fb0ad8 |
# 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... | Hallalay/TAiPET | [
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# Dataset Card for [Dataset Name]
## Table of Contents
- Table of Contents
- Dataset Description
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- Supported Tasks and Leaderboards
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- Dataset Creation
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6f8ce801f8cf4cc9d58c08f61f3424ad612f2f67 |
# HoC : Hallmarks of Cancer Corpus
## Table of Contents
- [Dataset Card for [Needs More Information]](#dataset-card-for-needs-more-information)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards]... | qanastek/HoC | [
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| HoC : Hallmarks of Cancer Corpus
================================
Table of Contents
-----------------
* [Dataset Card for](#dataset-card-for-needs-more-information)
+ Table of Contents
+ Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
+ Dataset Structure
- Data Insta... | [
"### Dataset Summary\n\n\nThe Hallmarks of Cancer Corpus for text classification\n\n\nThe Hallmarks of Cancer (HOC) Corpus consists of 1852 PubMed publication abstracts manually annotated by experts according to a taxonomy. The taxonomy consists of 37 classes in a hierarchy. Zero or more class labels are assigned t... | [
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d9197eacfb0afff29d90a2d4e7d0d98a5dfb54bc | # Dataset Card for sova_rudevices
## 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-instance... | bond005/sova_rudevices | [
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"license:cc-by-4.0",
"region:us... | 2022-11-01T13:03:55+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["crowdsourced"], "language": ["ru"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100k"], "source_datasets": ["extended"], "task_categories": ["automatic-speech-recognition", "audio-classification"], "pretty... | 2022-11-01T15:59:30+00:00 | [] | [
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| Dataset Card for sova\_rudevices
================================
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
... | [
"### Dataset Summary\n\n\nSOVA Dataset is free public STT/ASR dataset. It consists of several parts, one of them is SOVA RuDevices. This part is an acoustic corpus of approximately 100 hours of 16kHz Russian live speech with manual annotating, prepared by URL team.\n\n\nAuthors do not divide the dataset into train,... | [
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d278dfd8a801d43f5f3ce23228118d8d53faca81 | # Portuguese Legal Sentences
Collection of Legal Sentences from the Portuguese Supreme Court of Justice
The goal of this dataset was to be used for MLM and TSDAE
Extended version of rufimelo/PortugueseLegalSentences-v1
400000/50000/50000
### Contributions
[@rufimelo99](https://github.com/rufimelo99)
| rufimelo/PortugueseLegalSentences-v3 | [
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] | 2022-11-01T13:06:19+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["pt"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "source_datasets": ["original"]} | 2022-11-01T13:15:47+00:00 | [] | [
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#annotations_creators-no-annotation #language_creators-found #multilinguality-monolingual #source_datasets-original #language-Portuguese #license-apache-2.0 #region-us
| # Portuguese Legal Sentences
Collection of Legal Sentences from the Portuguese Supreme Court of Justice
The goal of this dataset was to be used for MLM and TSDAE
Extended version of rufimelo/PortugueseLegalSentences-v1
400000/50000/50000
### Contributions
@rufimelo99
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9fe1c98602d295a0e7bc5bb628769d1e71e22be7 |
# MNLI Norwegian
The Multi-Genre Natural Language Inference (MultiNLI) corpus is a crowd-sourced collection of 433k sentence pairs annotated with textual entailment information. The corpus is modeled on the SNLI corpus, but differs in that it covers a range of genres of spoken and written text, and supports a distinct... | NbAiLab/mnli-norwegian | [
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"multilinguality:mul... | 2022-11-01T14:53:34+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["machine-generated", "expert-generated"], "language": ["no", "nob", "en"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": ["100K<n<1M"], "source_datasets": [], "task_categories": ["sentence-similarity", "text-classi... | 2022-11-23T09:45:12+00:00 | [] | [
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# MNLI Norwegian
The Multi-Genre Natural Language Inference (MultiNLI) corpus is a crowd-sourced collection of 433k sentence pairs annotated with textual entailment information. The corpus is modeled on the SNLI corpus, but differs in that it covers a range of genres of spoken and written text, and supports a distinct... | [
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3859c76db2f6f3d3b9a3863345e3ccdbff75879d | # Dataset Card for "fashion-product-images-small"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Data was obtained from [here](https://www.kaggle.com/datasets/paramaggarwal/fashion-product-images-small) | ashraq/fashion-product-images-small | [
"region:us"
] | 2022-11-01T20:22:50+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "gender", "dtype": "string"}, {"name": "masterCategory", "dtype": "string"}, {"name": "subCategory", "dtype": "string"}, {"name": "articleType", "dtype": "string"}, {"name": "baseColour", "dtype": "string"}, {"name": "season", "dtype": "string"},... | 2022-11-01T20:25:52+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "fashion-product-images-small"
More Information needed
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![Luz_life_in_the_process_of_flooding_a_coastal_city_photorealist_405f00d5-fa48-4825-b7b9-0f6f35312c61.png](https://s... | Valentingmz/Repositor | [
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| !Luz_life_in_the_process_of_flooding_a_coastal_city_photorealist_04bf00d0-URL
!Luz_life_in_the_process_of_flooding_a_coastal_city_photorealist_405f00d5-URL
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a311ec1ad64e5e5a005e8759b8dde88acecc42eb | # AutoTrain Dataset for project: mysheet
## Dataset Description
This dataset has been automatically processed by AutoTrain for project mysheet.
### Languages
The BCP-47 code for the dataset's language is en.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
```json
[
{
"... | LiveEvil/autotrain-data-mysheet | [
"language:en",
"region:us"
] | 2022-11-01T20:55:23+00:00 | {"language": ["en"]} | 2022-11-01T20:55:52+00:00 | [] | [
"en"
] | TAGS
#language-English #region-us
| AutoTrain Dataset for project: mysheet
======================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project mysheet.
### Languages
The BCP-47 code for the dataset's language is en.
Dataset Structure
-----------------
### Data I... | [
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"passage: TAGS\n#language-English #region-us \n### Languages\n\n\nThe BCP-47 code for the dataset's language is en.\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\"):###... |
36cf8a781bf9396d6b7e7fb536ef635571fbec77 | This is a ParaModeler, for rating hook/grabbers of an introduction paragraph. | LiveEvil/EsCheck-Paragraph | [
"license:openrail",
"region:us"
] | 2022-11-01T21:33:39+00:00 | {"license": "openrail"} | 2022-11-02T15:15:44+00:00 | [] | [] | TAGS
#license-openrail #region-us
| This is a ParaModeler, for rating hook/grabbers of an introduction paragraph. | [] | [
"TAGS\n#license-openrail #region-us \n"
] | [
12
] | [
"passage: TAGS\n#license-openrail #region-us \n"
] |
863faca5cd61e14147241f86fb9ffcce538cb800 | To access an image use the following
Bucket URL: https://d26smi9133w0oo.cloudfront.net/
example:
https://d26smi9133w0oo.cloudfront.net/room-7/1670520485-CZk4C72xBr5wPfTpwDAnG6-7648_7008-a-chicken-breaking-through-a-mirrornnotn.webp
**Bucket URL/key**
SQLite
https://huggingface.co/datasets/huggingface-projects/sd... | huggingface-projects/sd-multiplayer-data | [
"region:us"
] | 2022-11-02T00:57:18+00:00 | {} | 2022-12-13T14:37:41+00:00 | [] | [] | TAGS
#region-us
| To access an image use the following
Bucket URL: URL
example:
URL
Bucket URL/key
SQLite
URL
JSON example
URL
'''json
[
{
"id": 160103269,
"room_id": "room-7",
"uuid": "CZk4C72xBr5wPfTpwDAnG6",
"x": 7648,
"y": 7008,
"prompt": "7648_7008 a chicken breaking through a mirrornnotn webp",... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
7c394b430826ee4b382c888e833699dffaea5423 | # Dataset Card for "crows_pairs"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | henryscheible/crows_pairs | [
"region:us"
] | 2022-11-02T02:25:49+00:00 | {"dataset_info": {"features": [{"name": "label", "dtype": "int64"}, {"name": "input_ids", "sequence": "int32"}, {"name": "token_type_ids", "sequence": "int8"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "test", "num_bytes": 146765.59151193633, "num_examples": 302}, {"name": "train", "num_bytes... | 2022-11-02T02:25:56+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "crows_pairs"
More Information needed | [
"# Dataset Card for \"crows_pairs\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"crows_pairs\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"crows_pairs\"\n\nMore Information needed"
] |
76bf143f6cf6aebfb72f24bc3b9e2d2b5b0a0899 | # `chinese_clean_passages_80m`
包含**8千余万**（88328203）个**纯净**中文段落，不包含任何字母、数字。\
Containing more than **80 million pure \& clean** Chinese passages, without any letters/digits/special tokens.
文本长度大部分介于50\~200个汉字之间。\
The passage length is approximately 50\~200 Chinese characters.
通过`datasets.load_dataset()`下载数据，会产生38个大小约3... | beyond/chinese_clean_passages_80m | [
"region:us"
] | 2022-11-02T02:53:49+00:00 | {"dataset_info": {"features": [{"name": "passage", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 18979214734, "num_examples": 88328203}], "download_size": 1025261393, "dataset_size": 18979214734}} | 2022-12-06T07:09:20+00:00 | [] | [] | TAGS
#region-us
| # 'chinese_clean_passages_80m'
包含8千余万（88328203）个纯净中文段落，不包含任何字母、数字。\
Containing more than 80 million pure \& clean Chinese passages, without any letters/digits/special tokens.
文本长度大部分介于50\~200个汉字之间。\
The passage length is approximately 50\~200 Chinese characters.
通过'datasets.load_dataset()'下载数据，会产生38个大小约340M的数据包，共约12... | [
"# 'chinese_clean_passages_80m'\n\n包含8千余万（88328203）个纯净中文段落，不包含任何字母、数字。\\\nContaining more than 80 million pure \\& clean Chinese passages, without any letters/digits/special tokens.\n\n文本长度大部分介于50\\~200个汉字之间。\\\nThe passage length is approximately 50\\~200 Chinese characters.\n\n通过'datasets.load_dataset()'下载数据，会产生3... | [
"TAGS\n#region-us \n",
"# 'chinese_clean_passages_80m'\n\n包含8千余万（88328203）个纯净中文段落，不包含任何字母、数字。\\\nContaining more than 80 million pure \\& clean Chinese passages, without any letters/digits/special tokens.\n\n文本长度大部分介于50\\~200个汉字之间。\\\nThe passage length is approximately 50\\~200 Chinese characters.\n\n通过'datasets... | [
6,
280
] | [
"passage: TAGS\n#region-us \n# 'chinese_clean_passages_80m'\n\n包含8千余万（88328203）个纯净中文段落，不包含任何字母、数字。\\\nContaining more than 80 million pure \\& clean Chinese passages, without any letters/digits/special tokens.\n\n文本长度大部分介于50\\~200个汉字之间。\\\nThe passage length is approximately 50\\~200 Chinese characters.\n\n通过'datas... |
0701ea3fa42db65b7237cab8e916a35659c5b845 | # Dataset Card for "animal-crossing-data"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | pseeej/animal-crossing-data | [
"region:us"
] | 2022-11-02T03:30:51+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 7209776.0, "num_examples": 389}], "download_size": 7181848, "dataset_size": 7209776.0}} | 2022-11-02T03:31:55+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "animal-crossing-data"
More Information needed | [
"# Dataset Card for \"animal-crossing-data\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"animal-crossing-data\"\n\nMore Information needed"
] | [
6,
16
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"animal-crossing-data\"\n\nMore Information needed"
] |
6b06220d4057c9f974c693567958ebc32f764d89 | # Dataset Card for "onset-drums_corpora_parliament_processed"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | gary109/onset-drums_corpora_parliament_processed | [
"region:us"
] | 2022-11-02T03:50:08+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 43947, "num_examples": 283}], "download_size": 14691, "dataset_size": 43947}} | 2022-11-22T07:42:46+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "onset-drums_corpora_parliament_processed"
More Information needed | [
"# Dataset Card for \"onset-drums_corpora_parliament_processed\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"onset-drums_corpora_parliament_processed\"\n\nMore Information needed"
] | [
6,
24
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"onset-drums_corpora_parliament_processed\"\n\nMore Information needed"
] |
0179bb2c085b52b01ca23991c7581c136b76e0e6 | # Dataset Card for "goodreads_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | dhmeltzer/goodreads_test | [
"region:us"
] | 2022-11-02T04:14:19+00:00 | {"dataset_info": {"features": [{"name": "review_text", "dtype": "string"}, {"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 1010427121, "num_examples": 478033}], "download_size": 496736771, "dataset_size": 1010427121}} | 2022-11-02T04:14:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "goodreads_test"
More Information needed | [
"# Dataset Card for \"goodreads_test\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"goodreads_test\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"goodreads_test\"\n\nMore Information needed"
] |
dfefc099c175c50fa26da17038a2970fc6808171 | # Dataset Card for "goodreads_train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | dhmeltzer/goodreads_train | [
"region:us"
] | 2022-11-02T04:14:58+00:00 | {"dataset_info": {"features": [{"name": "rating", "dtype": "int64"}, {"name": "review_text", "dtype": "string"}, {"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 1893978314, "num_examples": 900000}], "download_size": 928071460, "datas... | 2022-11-02T04:16:00+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "goodreads_train"
More Information needed | [
"# Dataset Card for \"goodreads_train\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"goodreads_train\"\n\nMore Information needed"
] | [
6,
16
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"goodreads_train\"\n\nMore Information needed"
] |
6fd649a5748873d108c8a785a38a55ddca291260 | # Dataset Card for "nymemes"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | annabelng/nymemes | [
"region:us"
] | 2022-11-02T07:59:23+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3760740114.362, "num_examples": 32933}], "download_size": 4007130292, "dataset_size": 3760740114.362}} | 2022-11-02T08:02:09+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "nymemes"
More Information needed | [
"# Dataset Card for \"nymemes\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"nymemes\"\n\nMore Information needed"
] | [
6,
13
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"nymemes\"\n\nMore Information needed"
] |
1fafac00f14590feb94984ee7dc1adc861179fc7 | # Dataset Card for "music_genres"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lewtun/music_genres | [
"region:us"
] | 2022-11-02T10:01:46+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": "audio"}, {"name": "song_id", "dtype": "int64"}, {"name": "genre_id", "dtype": "int64"}, {"name": "genre", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 1978321742.996, "num_examples": 5076}, {"name": "train", "num_bytes": 7844298868.902, "num_ex... | 2022-11-02T10:27:30+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "music_genres"
More Information needed | [
"# Dataset Card for \"music_genres\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"music_genres\"\n\nMore Information needed"
] | [
6,
14
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"music_genres\"\n\nMore Information needed"
] |
6fd41bb2494326e92dd46a92a1aeff50fbce4fdd |
## About this dataset
The [CAES](http://galvan.usc.es/caes/) [(Parodi, 2015)](https://www.tandfonline.com/doi/full/10.1080/23247797.2015.1084685?cookieSet=1) dataset, also referred as the “Corpus de Aprendices del Español” (CAES), is a collection of texts created by Spanish L2 learners from Spanish learning centres an... | lmvasque/caes | [
"license:cc-by-4.0",
"region:us"
] | 2022-11-02T10:40:31+00:00 | {"license": "cc-by-4.0"} | 2022-11-11T18:09:24+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
|
## About this dataset
The CAES (Parodi, 2015) dataset, also referred as the “Corpus de Aprendices del Español” (CAES), is a collection of texts created by Spanish L2 learners from Spanish learning centres and universities. These students had different learning levels, different backgrounds (11 native languages) and va... | [
"## About this dataset\nThe CAES (Parodi, 2015) dataset, also referred as the “Corpus de Aprendices del Español” (CAES), is a collection of texts created by Spanish L2 learners from Spanish learning centres and universities. These students had different learning levels, different backgrounds (11 native languages) a... | [
"TAGS\n#license-cc-by-4.0 #region-us \n",
"## About this dataset\nThe CAES (Parodi, 2015) dataset, also referred as the “Corpus de Aprendices del Español” (CAES), is a collection of texts created by Spanish L2 learners from Spanish learning centres and universities. These students had different learning levels, d... | [
15,
214,
180
] | [
"passage: TAGS\n#license-cc-by-4.0 #region-us \n## About this dataset\nThe CAES (Parodi, 2015) dataset, also referred as the “Corpus de Aprendices del Español” (CAES), is a collection of texts created by Spanish L2 learners from Spanish learning centres and universities. These students had different learning levels... |
189a95069a1544141fd9c21f638b979b106460f1 | ## About this dataset
The dataset Coh-Metrix-Esp (Cuentos) [(Quispesaravia et al., 2016)](https://aclanthology.org/L16-1745/) is a collection of 100 documents consisting of 50 children fables (“simple” texts) and 50 stories for adults (“complex” texts) scrapped from the web. If you use this data, please credit the ori... | lmvasque/coh-metrix-esp | [
"license:cc-by-sa-4.0",
"region:us"
] | 2022-11-02T10:43:02+00:00 | {"license": "cc-by-sa-4.0"} | 2022-11-11T17:44:04+00:00 | [] | [] | TAGS
#license-cc-by-sa-4.0 #region-us
| ## About this dataset
The dataset Coh-Metrix-Esp (Cuentos) (Quispesaravia et al., 2016) is a collection of 100 documents consisting of 50 children fables (“simple” texts) and 50 stories for adults (“complex” texts) scrapped from the web. If you use this data, please credit the original website and our work as well (se... | [
"## About this dataset\n\nThe dataset Coh-Metrix-Esp (Cuentos) (Quispesaravia et al., 2016) is a collection of 100 documents consisting of 50 children fables (“simple” texts) and 50 stories for adults (“complex” texts) scrapped from the web. If you use this data, please credit the original website and our work as w... | [
"TAGS\n#license-cc-by-sa-4.0 #region-us \n",
"## About this dataset\n\nThe dataset Coh-Metrix-Esp (Cuentos) (Quispesaravia et al., 2016) is a collection of 100 documents consisting of 50 children fables (“simple” texts) and 50 stories for adults (“complex” texts) scrapped from the web. If you use this data, pleas... | [
17,
121,
29
] | [
"passage: TAGS\n#license-cc-by-sa-4.0 #region-us \n## About this dataset\n\nThe dataset Coh-Metrix-Esp (Cuentos) (Quispesaravia et al., 2016) is a collection of 100 documents consisting of 50 children fables (“simple” texts) and 50 stories for adults (“complex” texts) scrapped from the web. If you use this data, pl... |
9a9ece7cc079929fb0902994f71e5c63f4284e11 | ## About this dataset
This dataset was collected from [HablaCultura.com](https://hablacultura.com/) a website with resources for Spanish students, labeled by instructors following the [Common European Framework of Reference for Languages (CEFR)](https://www.coe.int/en/web/common-european-framework-reference-languages)... | lmvasque/hablacultura | [
"license:cc-by-4.0",
"region:us"
] | 2022-11-02T10:44:43+00:00 | {"license": "cc-by-4.0"} | 2022-11-11T17:42:13+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
| ## About this dataset
This dataset was collected from URL a website with resources for Spanish students, labeled by instructors following the Common European Framework of Reference for Languages (CEFR). We have scraped the freely available articles from its original website to make it available to the community. If yo... | [
"## About this dataset\n\nThis dataset was collected from URL a website with resources for Spanish students, labeled by instructors following the Common European Framework of Reference for Languages (CEFR). We have scraped the freely available articles from its original website to make it available to the community... | [
"TAGS\n#license-cc-by-4.0 #region-us \n",
"## About this dataset\n\nThis dataset was collected from URL a website with resources for Spanish students, labeled by instructors following the Common European Framework of Reference for Languages (CEFR). We have scraped the freely available articles from its original w... | [
15,
125
] | [
"passage: TAGS\n#license-cc-by-4.0 #region-us \n## About this dataset\n\nThis dataset was collected from URL a website with resources for Spanish students, labeled by instructors following the Common European Framework of Reference for Languages (CEFR). We have scraped the freely available articles from its origina... |
b8ec1babb569f217a0248fb05f8323539bf90d96 |
## About this dataset
This dataset was collected from [kwiziq.com](https://www.kwiziq.com/), a website dedicated to aid Spanish learning through automated methods. It also provides articles in different CEFR-based levels. We have scraped the freely available articles from its original [website](https://www.kwiziq.com... | lmvasque/kwiziq | [
"license:cc-by-4.0",
"region:us"
] | 2022-11-02T10:45:55+00:00 | {"license": "cc-by-4.0"} | 2022-11-11T17:40:47+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
|
## About this dataset
This dataset was collected from URL, a website dedicated to aid Spanish learning through automated methods. It also provides articles in different CEFR-based levels. We have scraped the freely available articles from its original website to make it available to the community. If you use this dat... | [
"## About this dataset\n\nThis dataset was collected from URL, a website dedicated to aid Spanish learning through automated methods. It also provides articles in different CEFR-based levels. We have scraped the freely available articles from its original website to make it available to the community. If you use th... | [
"TAGS\n#license-cc-by-4.0 #region-us \n",
"## About this dataset\n\nThis dataset was collected from URL, a website dedicated to aid Spanish learning through automated methods. It also provides articles in different CEFR-based levels. We have scraped the freely available articles from its original website to make ... | [
15,
123
] | [
"passage: TAGS\n#license-cc-by-4.0 #region-us \n## About this dataset\n\nThis dataset was collected from URL, a website dedicated to aid Spanish learning through automated methods. It also provides articles in different CEFR-based levels. We have scraped the freely available articles from its original website to ma... |
9361d38c024c137755d8cefe9be826dc16be4885 | # Dataset Card for "audio-test-push"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lewtun/audio-test-push | [
"region:us"
] | 2022-11-02T11:36:14+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": "audio"}, {"name": "song_id", "dtype": "int64"}, {"name": "genre_id", "dtype": "int64"}, {"name": "genre", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 3994705.0, "num_examples": 10}, {"name": "train", "num_bytes": 3738678.0, "num_examples": 10}... | 2022-11-02T11:36:48+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "audio-test-push"
More Information needed | [
"# Dataset Card for \"audio-test-push\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"audio-test-push\"\n\nMore Information needed"
] | [
6,
17
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"audio-test-push\"\n\nMore Information needed"
] |
a5e76a325594cc02dfb1cba47f07c497ab01bf60 | # Dataset Card for "muld_OpenSubtitles"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ghomasHudson/muld_OpenSubtitles | [
"region:us"
] | 2022-11-02T11:55:18+00:00 | {"dataset_info": {"features": [{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "metadata", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 176793874, "num_examples": 1385}, {"name": "train", "num_bytes": 1389584660, "num_examples": 27749}], "download_size": 967763941,... | 2022-11-02T11:56:13+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "muld_OpenSubtitles"
More Information needed | [
"# Dataset Card for \"muld_OpenSubtitles\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"muld_OpenSubtitles\"\n\nMore Information needed"
] | [
6,
17
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"muld_OpenSubtitles\"\n\nMore Information needed"
] |
282a412b73478e5e843367c5ece3d3f8660f05b0 | # Dataset Card for "muld_AO3_Style_Change_Detection"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ghomasHudson/muld_AO3_Style_Change_Detection | [
"region:us"
] | 2022-11-02T12:06:13+00:00 | {"dataset_info": {"features": [{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "metadata", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 282915635, "num_examples": 2352}, {"name": "train", "num_bytes": 762370660, "num_examples": 6354}, {"name": "validation", "num_by... | 2022-11-02T12:06:59+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "muld_AO3_Style_Change_Detection"
More Information needed | [
"# Dataset Card for \"muld_AO3_Style_Change_Detection\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"muld_AO3_Style_Change_Detection\"\n\nMore Information needed"
] | [
6,
23
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"muld_AO3_Style_Change_Detection\"\n\nMore Information needed"
] |
c50eef2470554f8a1271a921d55aa7dc34420738 | # Dataset Card for "processed_multiscale_rt_critics"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | frankier/processed_multiscale_rt_critics | [
"region:us"
] | 2022-11-02T12:15:25+00:00 | {"dataset_info": {"features": [{"name": "movie_title", "dtype": "string"}, {"name": "publisher_name", "dtype": "string"}, {"name": "critic_name", "dtype": "string"}, {"name": "review_content", "dtype": "string"}, {"name": "review_score", "dtype": "string"}, {"name": "grade_type", "dtype": "string"}, {"name": "orig_num"... | 2023-10-03T16:16:04+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "processed_multiscale_rt_critics"
More Information needed | [
"# Dataset Card for \"processed_multiscale_rt_critics\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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63b6d26bb53a87c2b8ea9c9428bee6ab7a7532ef | # Dataset Card for "muld_NarrativeQA"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ghomasHudson/muld_NarrativeQA | [
"region:us"
] | 2022-11-02T12:17:00+00:00 | {"dataset_info": {"features": [{"name": "input", "dtype": "string"}, {"name": "output", "sequence": "string"}], "splits": [{"name": "test", "num_bytes": 3435452065, "num_examples": 10143}, {"name": "train", "num_bytes": 11253796383, "num_examples": 32747}, {"name": "validation", "num_bytes": 1176625993, "num_examples":... | 2022-11-02T12:24:41+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "muld_NarrativeQA"
More Information needed | [
"# Dataset Card for \"muld_NarrativeQA\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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8df0b33afd830cd72656e23c6b1cedec2b285b37 |
# Dataset Card for GEM/TaTA
## Dataset Description
- **Homepage:** https://github.com/google-research/url-nlp
- **Repository:** https://github.com/google-research/url-nlp
- **Paper:** https://arxiv.org/abs/2211.00142
- **Leaderboard:** https://github.com/google-research/url-nlp
- **Point of Contact:** Sebastian Rud... | GEM/TaTA | [
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"language_creators:unknown",
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"size_categories:unknown",
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"language:ar",
"language:en",
"language:fr",
"language:ha",
"language:ig",
"language:pt",
"language:ru",
"language:sw",
... | 2022-11-02T13:21:53+00:00 | {"annotations_creators": ["none"], "language_creators": ["unknown"], "language": ["ar", "en", "fr", "ha", "ig", "pt", "ru", "sw", "yo"], "license": "cc-by-sa-4.0", "multilinguality": [true], "size_categories": ["unknown"], "source_datasets": ["original"], "task_categories": ["table-to-text"], "task_ids": [], "pretty_na... | 2022-11-03T14:23:59+00:00 | [
"2211.00142",
"2112.12870"
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# Dataset Card for GEM/TaTA
## Dataset Description
- Homepage: URL
- Repository: URL
- Paper: URL
- Leaderboard: URL
- Point of Contact: Sebastian Ruder
### Link to Main Data Card
You can find the main data card on the GEM Website.
### Dataset Summary
Existing data-to-text generation datasets are mostly limited... | [
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048280e285175987c092a96b6149c032fcecc0c7 |
# Introduction
The recognition and classification of proper nouns and names in plain text is of key importance in Natural Language Processing (NLP) as it has a beneficial effect on the performance of various types of applications, including Information Extraction, Machine Translation, Syntactic Parsing/Chunking, etc.... | ficsort/SzegedNER | [
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"language:hu",
"hungarian",
"szeged",
"ner",
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] | 2022-11-02T15:46:47+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["other"], "language": ["hu"], "license": [], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognition"], "pretty_name": "S... | 2022-11-02T15:56:22+00:00 | [] | [
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|
# Introduction
The recognition and classification of proper nouns and names in plain text is of key importance in Natural Language Processing (NLP) as it has a beneficial effect on the performance of various types of applications, including Information Extraction, Machine Translation, Syntactic Parsing/Chunking, etc.... | [
"# Introduction\n\nThe recognition and classification of proper nouns and names in plain text is of key importance in Natural Language Processing (NLP) as it has a beneficial effect on the performance of various types of applications, including Information Extraction, Machine Translation, Syntactic Parsing/Chunking... | [
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64335ac3f9bfae6f6e2b467c6c904820ede01999 | # AutoTrain Dataset for project: testtextexists
## Dataset Description
This dataset has been automatically processed by AutoTrain for project testtextexists.
### Languages
The BCP-47 code for the dataset's language is en.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
```js... | LiveEvil/autotrain-data-testtextexists | [
"language:en",
"region:us"
] | 2022-11-02T15:54:22+00:00 | {"language": ["en"], "task_categories": ["text-scoring"]} | 2022-11-03T15:55:01+00:00 | [] | [
"en"
] | TAGS
#language-English #region-us
| AutoTrain Dataset for project: testtextexists
=============================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project testtextexists.
### Languages
The BCP-47 code for the dataset's language is en.
Dataset Structure
---------... | [
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82e266d8effde67520d50532587b5f000237b50a |
# CSAbstruct
CSAbstruct was created as part of *"Pretrained Language Models for Sequential Sentence Classification"* ([ACL Anthology][2], [arXiv][1], [GitHub][6]).
It contains 2,189 manually annotated computer science abstracts with sentences annotated according to their rhetorical roles in the abstract, similar to... | allenai/csabstruct | [
"license:apache-2.0",
"arxiv:1909.04054",
"region:us"
] | 2022-11-02T17:15:53+00:00 | {"license": "apache-2.0"} | 2022-11-02T17:54:38+00:00 | [
"1909.04054"
] | [] | TAGS
#license-apache-2.0 #arxiv-1909.04054 #region-us
| CSAbstruct
==========
CSAbstruct was created as part of *"Pretrained Language Models for Sequential Sentence Classification"* ([ACL Anthology](URL), [arXiv](URL), [GitHub](URL)).
It contains 2,189 manually annotated computer science abstracts with sentences annotated according to their rhetorical roles in the abstr... | [] | [
"TAGS\n#license-apache-2.0 #arxiv-1909.04054 #region-us \n"
] | [
23
] | [
"passage: TAGS\n#license-apache-2.0 #arxiv-1909.04054 #region-us \n"
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e3dc6d24c7d76a0c9d1c20b6c838abbc918a36b0 |
# Dataset Card for COCO-Stuff
[](https://github.com/shunk031/huggingface-datasets_cocostuff/actions/workflows/ci.yaml)
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-d... | shunk031/cocostuff | [
"language:en",
"license:cc-by-4.0",
"computer-vision",
"object-detection",
"ms-coco",
"arxiv:1612.03716",
"region:us"
] | 2022-11-02T17:47:27+00:00 | {"language": ["en"], "license": "cc-by-4.0", "tags": ["computer-vision", "object-detection", "ms-coco"], "datasets": ["stuff-thing", "stuff-only"], "metrics": ["accuracy", "iou"]} | 2022-12-09T04:29:27+00:00 | [
"1612.03716"
] | [
"en"
] | TAGS
#language-English #license-cc-by-4.0 #computer-vision #object-detection #ms-coco #arxiv-1612.03716 #region-us
| Dataset Card for COCO-Stuff
===========================
![CI](URL
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Dataset Preprocessing
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset... | [
"### Dataset Summary\n\n\nCOCO-Stuff is the largest existing dataset with dense stuff and thing annotations.\n\n\nFrom the paper:\n\n\n\n> \n> Semantic classes can be either things (objects with a well-defined shape, e.g. car, person) or stuff (amorphous background regions, e.g. grass, sky). While lots of classific... | [
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88835bf225b88600767b73618ad4f6aa7ea4d77d |
# Sciamano Artist Embedding / Textual Inversion
## Usage
To use this embedding you have to download the file aswell as drop it into the "\stable-diffusion-webui\embeddings" folder
To use it in a prompt: ```"drawn by sciamano"```
If it is to strong just add [] around it.
Trained until 14000 steps
Have fun :)
## E... | Nerfgun3/sciamano | [
"language:en",
"license:creativeml-openrail-m",
"stable-diffusion",
"text-to-image",
"region:us"
] | 2022-11-02T21:06:12+00:00 | {"language": ["en"], "license": "creativeml-openrail-m", "tags": ["stable-diffusion", "text-to-image"], "inference": false} | 2022-11-02T21:15:27+00:00 | [] | [
"en"
] | TAGS
#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #region-us
| Sciamano Artist Embedding / Textual Inversion
=============================================
Usage
-----
To use this embedding you have to download the file aswell as drop it into the "\stable-diffusion-webui\embeddings" folder
To use it in a prompt:
If it is to strong just add [] around it.
Trained until 1400... | [] | [
"TAGS\n#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #region-us \n"
] | [
35
] | [
"passage: TAGS\n#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #region-us \n"
] |
768e7ebca5725cd852f4579d170a8726b061619d |
# John Kafka Artist Embedding / Textual Inversion
## Usage
To use this embedding you have to download the file aswell as drop it into the "\stable-diffusion-webui\embeddings" folder
To use it in a prompt: ```"drawn by john_kafka"```
If it is to strong just add [] around it.
Trained until 6000 steps
Have fun :)
#... | Nerfgun3/john_kafka | [
"language:en",
"license:creativeml-openrail-m",
"stable-diffusion",
"text-to-image",
"region:us"
] | 2022-11-02T21:23:38+00:00 | {"language": ["en"], "license": "creativeml-openrail-m", "tags": ["stable-diffusion", "text-to-image"], "inference": false} | 2022-11-02T21:25:38+00:00 | [] | [
"en"
] | TAGS
#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #region-us
| John Kafka Artist Embedding / Textual Inversion
===============================================
Usage
-----
To use this embedding you have to download the file aswell as drop it into the "\stable-diffusion-webui\embeddings" folder
To use it in a prompt:
If it is to strong just add [] around it.
Trained until ... | [] | [
"TAGS\n#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #region-us \n"
] | [
35
] | [
"passage: TAGS\n#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #region-us \n"
] |
f480d9dfb53d9f3a663001496e929c9184cbeeea |
# Shatter Style Embedding / Textual Inversion
## Usage
To use this embedding you have to download the file aswell as drop it into the "\stable-diffusion-webui\embeddings" folder
To use it in a prompt: ```"drawn by shatter_style"```
If it is to strong just add [] around it.
Trained until 6000 steps
Have fun :)
##... | Nerfgun3/shatter_style | [
"language:en",
"license:creativeml-openrail-m",
"stable-diffusion",
"text-to-image",
"region:us"
] | 2022-11-02T21:26:24+00:00 | {"language": ["en"], "license": "creativeml-openrail-m", "tags": ["stable-diffusion", "text-to-image"], "inference": false} | 2022-11-02T21:30:48+00:00 | [] | [
"en"
] | TAGS
#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #region-us
| Shatter Style Embedding / Textual Inversion
===========================================
Usage
-----
To use this embedding you have to download the file aswell as drop it into the "\stable-diffusion-webui\embeddings" folder
To use it in a prompt:
If it is to strong just add [] around it.
Trained until 6000 ste... | [] | [
"TAGS\n#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #region-us \n"
] | [
35
] | [
"passage: TAGS\n#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #region-us \n"
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85a486545ea37fc9f2326e171ca42d32fcccf89a | This is the dataset! Not the .ckpt trained model - the model is located here: https://huggingface.co/0xJustin/Dungeons-and-Diffusion/tree/main
The newest version has manually captioned races and classes, and the model is trained with EveryDream. 30 images each of: aarakocra, aasimar, air_genasi, centaur, dragonborn, d... | 0xJustin/Dungeons-and-Diffusion | [
"region:us"
] | 2022-11-03T06:04:27+00:00 | {} | 2023-05-19T17:26:58+00:00 | [] | [] | TAGS
#region-us
| This is the dataset! Not the .ckpt trained model - the model is located here: URL
The newest version has manually captioned races and classes, and the model is trained with EveryDream. 30 images each of: aarakocra, aasimar, air_genasi, centaur, dragonborn, drow,
dwarf, earth_genasi, elf, firbolg, fire_genasi, gith, gn... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
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ab4b90142da320df49a31aaa9fa8df1df67d123f | # Dataset Card for "music_genres_small"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lewtun/music_genres_small | [
"region:us"
] | 2022-11-03T13:36:11+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": "audio"}, {"name": "song_id", "dtype": "int64"}, {"name": "genre_id", "dtype": "int64"}, {"name": "genre", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 392427659.9527852, "num_examples": 1000}], "download_size": 390675126, "dataset_size": 39242... | 2022-11-03T13:36:49+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "music_genres_small"
More Information needed | [
"# Dataset Card for \"music_genres_small\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"music_genres_small\"\n\nMore Information needed"
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6,
17
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"passage: TAGS\n#region-us \n# Dataset Card for \"music_genres_small\"\n\nMore Information needed"
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17e87976452beb6cd28dd83ee3b98604fca98632 | # Dataset Card for "amazon-shoe-reviews"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Markmus/amazon-shoe-reviews | [
"region:us"
] | 2022-11-03T13:41:22+00:00 | {"dataset_info": {"features": [{"name": "labels", "dtype": "int64"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 1871962.8, "num_examples": 10000}, {"name": "train", "num_bytes": 16847665.2, "num_examples": 90000}], "download_size": 10939033, "dataset_size": 18719628.0}} | 2022-11-03T13:41:50+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "amazon-shoe-reviews"
More Information needed | [
"# Dataset Card for \"amazon-shoe-reviews\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"amazon-shoe-reviews\"\n\nMore Information needed"
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6,
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c0e1f6c4ab0b7ec8268e9eed39185c002df10344 | # Dataset Card for "amazon-shoe-reviews"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Matthaios/amazon-shoe-reviews | [
"region:us"
] | 2022-11-03T13:43:26+00:00 | {"dataset_info": {"features": [{"name": "labels", "dtype": "int64"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 1871962.8, "num_examples": 10000}, {"name": "train", "num_bytes": 16847665.2, "num_examples": 90000}], "download_size": 10939031, "dataset_size": 18719628.0}} | 2022-11-03T13:43:56+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "amazon-shoe-reviews"
More Information needed | [
"# Dataset Card for \"amazon-shoe-reviews\"\n\nMore Information needed"
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490bc8a946289d68fe7c628afa5c36b52ca8f9e3 |
# PyCoder
This repository contains the dataset for the paper [Syntax-Aware On-the-Fly Code Completion](https://arxiv.org/abs/2211.04673)
The sample code to run the model can be found in directory: "`assets/notebooks/inference.ipynb`" in our GitHub: https://github.com/awsm-research/pycoder.
PyCoder is an auto code c... | Wannita/PyCoder | [
"task_categories:text-generation",
"license:mit",
"code",
"arxiv:2211.04673",
"region:us"
] | 2022-11-03T13:45:53+00:00 | {"license": "mit", "task_categories": ["text-generation"], "datasets": ["Wannita/PyCoder"], "metrics": ["accuracy", "bleu", "meteor", "exact_match", "rouge"], "library_name": "transformers", "pipeline_tag": "text-generation", "tags": ["code"]} | 2023-03-29T14:52:53+00:00 | [
"2211.04673"
] | [] | TAGS
#task_categories-text-generation #license-mit #code #arxiv-2211.04673 #region-us
|
# PyCoder
This repository contains the dataset for the paper Syntax-Aware On-the-Fly Code Completion
The sample code to run the model can be found in directory: "'assets/notebooks/URL'" in our GitHub: URL
PyCoder is an auto code completion model which leverages a Multi-Task Training technique (MTT) to cooperatively... | [
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7af12b091affeb6e55d0f4871dc98af83fabe28b | ---
# Dataset Card for KAMEL: Knowledge Analysis with Multitoken Entities in Language Models
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Struct... | LeandraFichtel/KAMEL | [
"region:us"
] | 2022-11-03T14:00:02+00:00 | {} | 2022-11-03T16:39:49+00:00 | [] | [] | TAGS
#region-us
| ---
# Dataset Card for KAMEL: Knowledge Analysis with Multitoken Entities in Language Models
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale... | [
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dfa2ec4ee00fcd57232b5edaa3e37a5ab1c0985e | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: 21iridescent/RoBERTa-base-finetuned-squad2-lwt
* Dataset: adversarial_qa
* Config: adversarialQA
* Split:... | autoevaluate/autoeval-eval-adversarial_qa-adversarialQA-fc121d-1975865996 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-03T14:10:05+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["adversarial_qa"], "eval_info": {"task": "extractive_question_answering", "model": "21iridescent/RoBERTa-base-finetuned-squad2-lwt", "metrics": [], "dataset_name": "adversarial_qa", "dataset_config": "adversarialQA", "dataset_split": "validation"... | 2022-11-03T14:11:13+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: 21iridescent/RoBERTa-base-finetuned-squad2-lwt
* Dataset: adversarial_qa
* Config: adversarialQA
* Split: validation
To run new evaluation j... | [
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4162853a87a970f96bdb689dcdc35732d8aaa854 |
# Dataset accompanying the "Probing neural language models for understanding of words of estimative probability" article
This dataset tests the capabilities of language models to correctly capture the meaning of words denoting probabilities (WEP, also called verbal probabilities), e.g. words like "probably", "maybe",... | sileod/probability_words_nli | [
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"langu... | 2022-11-03T14:21:14+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification", "multiple-choice", "question-answering"], ... | 2023-09-06T13:56:43+00:00 | [
"2211.03358"
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# Dataset accompanying the "Probing neural language models for understanding of words of estimative probability" article
This dataset tests the capabilities of language models to correctly capture the meaning of words denoting probabilities (WEP, also called verbal probabilities), e.g. words like "probably", "maybe",... | [
"# Dataset accompanying the \"Probing neural language models for understanding of words of estimative probability\" article\n\nThis dataset tests the capabilities of language models to correctly capture the meaning of words denoting probabilities (WEP, also called verbal probabilities), e.g. words like \"probably\"... | [
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772d7f4015382026d97b6c8a2e477a8a3f1fbbc6 | # Dataset Card for "my_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | popaqy/my_dataset | [
"region:us"
] | 2022-11-03T14:27:51+00:00 | {"dataset_info": {"features": [{"name": "bg", "dtype": "string"}, {"name": "en", "dtype": "string"}, {"name": "bg_wrong", "dtype": "string"}, {"name": "__index_level_0__", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 1792707, "num_examples": 3442}], "download_size": 908032, "dataset_size": 1792707}} | 2022-11-03T14:27:55+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "my_dataset"
More Information needed | [
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2ac5bf4dc855aacdfc4ec1bdf9691d721207c3a6 |
# Dataset Card for Polish ASR BIGOS corpora
## 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](#... | michaljunczyk/pl-asr-bigos | [
"task_categories:automatic-speech-recognition",
"annotations_creators:crowdsourced",
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"annotations_creators:other",
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"language_creators:expert-generated",
"language_creators:other",
"mu... | 2022-11-03T16:38:50+00:00 | {"annotations_creators": ["crowdsourced", "expert-generated", "other", "machine-generated"], "language_creators": ["crowdsourced", "expert-generated", "other"], "language": ["pl"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original", "extended... | 2024-01-08T17:14:38+00:00 | [] | [
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# Dataset Card for Polish ASR BIGOS corpora
## 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
- Annotat... | [
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548191053344a231c016a74927e87fae9fef786d |
# Dataset Card for DocEE Dataset
## Dataset Description
- **Homepage:**
- **Repository:** [DocEE Dataset repository](https://github.com/tongmeihan1995/docee)
- **Paper:** [DocEE: A Large-Scale and Fine-grained Benchmark for Document-level Event Extraction](https://aclanthology.org/2022.naacl-main.291/)
### Dataset ... | fkdosilovic/docee-event-classification | [
"task_categories:text-classification",
"task_ids:multi-class-classification",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:mit",
"wiki",
"news",
"event-detection",
"region:us"
] | 2022-11-03T20:30:39+00:00 | {"language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["multi-class-classification"], "pretty_name": "DocEE", "tags": ["wiki", "news", "event-detection"]} | 2022-11-03T21:39:31+00:00 | [] | [
"en"
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|
# Dataset Card for DocEE Dataset
## Dataset Description
- Homepage:
- Repository: DocEE Dataset repository
- Paper: DocEE: A Large-Scale and Fine-grained Benchmark for Document-level Event Extraction
### Dataset Summary
DocEE dataset is an English-language dataset containing more than 27k news and Wikipedia articl... | [
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"### Dataset Summary\n\nDocEE dataset is an English-language dataset containing more than 27k news an... | [
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8b48d820c4bc9f34966fb2ee24f3adb783d20d88 |
# Dataset Card for Beeple Everyday
Dataset used to train [beeple-diffusion](https://huggingface.co/riccardogiorato/beeple-diffusion).
The original images were obtained from [twitter.com/beeple](https://twitter.com/beeple/media).
## Citation
If you use this dataset, please cite it as:
```
@misc{gioratobeeple-every... | riccardogiorato/beeple-everyday | [
"license:creativeml-openrail-m",
"region:us"
] | 2022-11-03T21:03:32+00:00 | {"license": "creativeml-openrail-m"} | 2022-11-03T21:12:57+00:00 | [] | [] | TAGS
#license-creativeml-openrail-m #region-us
|
# Dataset Card for Beeple Everyday
Dataset used to train beeple-diffusion.
The original images were obtained from URL
If you use this dataset, please cite it as:
| [
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] |
b3187f53037e244e39c29606e357bdd411b46801 | # Dataset Card for "dtic_sent"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | stauntonjr/dtic_sent | [
"region:us"
] | 2022-11-03T22:30:39+00:00 | {"dataset_info": {"features": [{"name": "Accession Number", "dtype": "string"}, {"name": "Title", "dtype": "string"}, {"name": "Descriptive Note", "dtype": "string"}, {"name": "Corporate Author", "dtype": "string"}, {"name": "Personal Author(s)", "sequence": "string"}, {"name": "Report Date", "dtype": "string"}, {"name... | 2022-11-03T23:37:08+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dtic_sent"
More Information needed | [
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ac0a9507326eaf1752d6209cec2b6b46d8113cbd |
# Dataset Card for QA-Portuguese
## 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... | ju-resplande/qa-pt | [
"task_categories:question-answering",
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"annotations_creators:no-annotation",
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"source_datasets:extended|mqa",
"language:pt",
"license:cc0-1.0",
"region:us"
] | 2022-11-03T22:57:12+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["other"], "language": ["pt"], "license": ["cc0-1.0"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["extended|mqa"], "task_categories": ["question-answering"], "task_ids": ["multiple-choice-qa"], "pretty_name": ... | 2022-11-25T20:31:56+00:00 | [] | [
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|
# Dataset Card for QA-Portuguese
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- P... | [
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4acd51b06d689bf2d0cb95dce6b552909584e8ba |
# Nixeu Style Embedding / Textual Inversion
## Usage
To use this embedding you have to download the file aswell as drop it into the "\stable-diffusion-webui\embeddings" folder
To use it in a prompt: ```"drawn by nixeu_style"```
Use the Embedding with one of [SirVeggies](https://huggingface.co/SirVeggie) Nixeu or Wl... | Nerfgun3/nixeu_style | [
"language:en",
"license:creativeml-openrail-m",
"stable-diffusion",
"text-to-image",
"region:us"
] | 2022-11-03T23:29:09+00:00 | {"language": ["en"], "license": "creativeml-openrail-m", "tags": ["stable-diffusion", "text-to-image"], "inference": false} | 2022-11-03T23:36:01+00:00 | [] | [
"en"
] | TAGS
#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #region-us
| Nixeu Style Embedding / Textual Inversion
=========================================
Usage
-----
To use this embedding you have to download the file aswell as drop it into the "\stable-diffusion-webui\embeddings" folder
To use it in a prompt:
Use the Embedding with one of SirVeggies Nixeu or Wlop models for best... | [] | [
"TAGS\n#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #region-us \n"
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849be46ab60cfbd53a5bd950538253aecd6cea78 |
# Dataset Card for "lmqg/qa_harvesting_from_wikipedia"
## Dataset Description
- **Repository:** [https://github.com/asahi417/lm-question-generation](https://github.com/asahi417/lm-question-generation)
- **Paper:** [https://aclanthology.org/P18-1177/](https://aclanthology.org/P18-1177/)
- **Point of Contact:** [Asahi ... | lmqg/qa_harvesting_from_wikipedia | [
"task_categories:question-answering",
"task_ids:extractive-qa",
"multilinguality:monolingual",
"size_categories:1M<",
"source_datasets:extended|wikipedia",
"language:en",
"license:cc-by-4.0",
"region:us"
] | 2022-11-04T06:30:51+00:00 | {"language": "en", "license": "cc-by-4.0", "multilinguality": "monolingual", "size_categories": "1M<", "source_datasets": ["extended|wikipedia"], "task_categories": ["question-answering"], "task_ids": ["extractive-qa"], "pretty_name": "Harvesting QA paris from Wikipedia."} | 2022-11-05T03:19:40+00:00 | [] | [
"en"
] | TAGS
#task_categories-question-answering #task_ids-extractive-qa #multilinguality-monolingual #size_categories-1M< #source_datasets-extended|wikipedia #language-English #license-cc-by-4.0 #region-us
| Dataset Card for "lmqg/qa\_harvesting\_from\_wikipedia"
=======================================================
Dataset Description
-------------------
* Repository: URL
* Paper: URL
* Point of Contact: Asahi Ushio
### Dataset Summary
This is the QA dataset collected by Harvesting Paragraph-level Question-Answe... | [
"### Dataset Summary\n\n\nThis is the QA dataset collected by Harvesting Paragraph-level Question-Answer Pairs from Wikipedia (Du & Cardie, ACL 2018).",
"### Supported Tasks and Leaderboards\n\n\n* 'question-answering'",
"### Languages\n\n\nEnglish (en)\n\n\nDataset Structure\n-----------------",
"### Data Fi... | [
"TAGS\n#task_categories-question-answering #task_ids-extractive-qa #multilinguality-monolingual #size_categories-1M< #source_datasets-extended|wikipedia #language-English #license-cc-by-4.0 #region-us \n",
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7d5efeb7e157099ebd0f630628e64b1cdc97f6e2 | # Dataset Card for "auto_content"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Ayush2609/auto_content | [
"region:us"
] | 2022-11-04T09:32:38+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 25207.5885509839, "num_examples": 503}, {"name": "validation", "num_bytes": 2806.4114490161, "num_examples": 56}], "download_size": 19771, "dataset_size": 28014.0}} | 2022-11-04T09:32:44+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "auto_content"
More Information needed | [
"# Dataset Card for \"auto_content\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"auto_content\"\n\nMore Information needed"
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cc540899103705a0cb87bea53bda71fa14a80737 | # Dataset Card for "answerable_tydiqa"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | PartiallyTyped/answerable_tydiqa | [
"region:us"
] | 2022-11-04T09:44:49+00:00 | {"dataset_info": {"features": [{"name": "question_text", "dtype": "string"}, {"name": "document_title", "dtype": "string"}, {"name": "language", "dtype": "string"}, {"name": "annotations", "struct": [{"name": "answer_start", "sequence": "int64"}, {"name": "answer_text", "sequence": "string"}]}, {"name": "document_plain... | 2022-11-04T09:45:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "answerable_tydiqa"
More Information needed | [
"# Dataset Card for \"answerable_tydiqa\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"answerable_tydiqa\"\n\nMore Information needed"
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f71b7973349141cb8a3d40b6ee2797830f62ae68 | # Dataset Card for "answerable_tydiqa_restructured"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | PartiallyTyped/answerable_tydiqa_restructured | [
"region:us"
] | 2022-11-04T09:45:21+00:00 | {"dataset_info": {"features": [{"name": "language", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "references", "struct": [{"name": "answers", "struct": [{"name": "answer_start", "sequence": "int64"}, {"name": "text", "sequence": "string"}]}, {"name": "id"... | 2022-11-04T09:45:41+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "answerable_tydiqa_restructured"
More Information needed | [
"# Dataset Card for \"answerable_tydiqa_restructured\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"answerable_tydiqa_restructured\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"answerable_tydiqa_restructured\"\n\nMore Information needed"
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90b5976050208f4ab764422c334b95dfd681e4f0 | # Dataset Card for "answerable_tydiqa_preprocessed"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | PartiallyTyped/answerable_tydiqa_preprocessed | [
"region:us"
] | 2022-11-04T09:46:00+00:00 | {"dataset_info": {"features": [{"name": "language", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "references", "struct": [{"name": "answers", "struct": [{"name": "answer_start", "sequence": "int64"}, {"name": "text", "sequence": "string"}]}, {"name": "id"... | 2022-11-04T09:46:21+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "answerable_tydiqa_preprocessed"
More Information needed | [
"# Dataset Card for \"answerable_tydiqa_preprocessed\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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b20f6950ca9773dac84e57b2f052cc9c3fcdf448 | # Dataset Card for "answerable_tydiqa_tokenized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | PartiallyTyped/answerable_tydiqa_tokenized | [
"region:us"
] | 2022-11-04T09:46:52+00:00 | {"dataset_info": {"features": [{"name": "language", "dtype": "string"}, {"name": "question", "sequence": "string"}, {"name": "context", "sequence": "string"}, {"name": "references", "struct": [{"name": "answers", "struct": [{"name": "answer_start", "sequence": "int64"}, {"name": "text", "sequence": "string"}]}, {"name"... | 2022-11-04T09:47:12+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "answerable_tydiqa_tokenized"
More Information needed | [
"# Dataset Card for \"answerable_tydiqa_tokenized\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"answerable_tydiqa_tokenized\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"answerable_tydiqa_tokenized\"\n\nMore Information needed"
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148e1cda53c9697ea386953a60e8493dbd102cb1 |
# Guweiz Artist Embedding / Textual Inversion
## Usage
To use this embedding you have to download the file aswell as drop it into the "\stable-diffusion-webui\embeddings" folder
To use it in a prompt: ```"drawn by guweiz_style"```
If it is to strong just add [] around it.
Trained until 9000 steps
Have fun :)
## ... | Nerfgun3/guweiz_style | [
"language:en",
"license:creativeml-openrail-m",
"stable-diffusion",
"text-to-image",
"region:us"
] | 2022-11-04T10:11:35+00:00 | {"language": ["en"], "license": "creativeml-openrail-m", "tags": ["stable-diffusion", "text-to-image"], "inference": false} | 2022-11-04T10:14:19+00:00 | [] | [
"en"
] | TAGS
#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #region-us
| Guweiz Artist Embedding / Textual Inversion
===========================================
Usage
-----
To use this embedding you have to download the file aswell as drop it into the "\stable-diffusion-webui\embeddings" folder
To use it in a prompt:
If it is to strong just add [] around it.
Trained until 9000 ste... | [] | [
"TAGS\n#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #region-us \n"
] | [
35
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60d8a487125ced60f6cd19e37aac3739d135b6b5 | # Dataset Card for "tx-data-to-decode"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Lucapro/tx-data-to-decode | [
"region:us"
] | 2022-11-04T10:21:51+00:00 | {"dataset_info": {"features": [{"name": "en", "dtype": "string"}, {"name": "de", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3527858, "num_examples": 6057}], "download_size": 995171, "dataset_size": 3527858}} | 2022-11-04T10:22:12+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "tx-data-to-decode"
More Information needed | [
"# Dataset Card for \"tx-data-to-decode\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"tx-data-to-decode\"\n\nMore Information needed"
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626de4a1bf832412aed03cd731b74bc5ac978fcb | # Dataset Card for "icd10-reference-cm"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | rjac/icd10-reference-cm | [
"region:us"
] | 2022-11-04T11:23:22+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "icd10_tc_category", "dtype": "string"}, {"name": "icd10_tc_category_group", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 13286095, "num_examples": 71480}], "download_size": 2715065, "dataset_size": 13286095}} | 2022-11-04T11:23:29+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "icd10-reference-cm"
More Information needed | [
"# Dataset Card for \"icd10-reference-cm\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"icd10-reference-cm\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"icd10-reference-cm\"\n\nMore Information needed"
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587e3170fcb95d51295acfea053c6570cedd8a41 | # Dataset Card for "Pierse-movie-dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | MarkGG/Pierse-movie-dataset | [
"region:us"
] | 2022-11-04T11:34:53+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 53518991.51408206, "num_examples": 1873138}, {"name": "validation", "num_bytes": 5946570.485917939, "num_examples": 208127}], "download_size": 33525659, "dataset_size": 59465562.0}} | 2022-11-04T11:35:26+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Pierse-movie-dataset"
More Information needed | [
"# Dataset Card for \"Pierse-movie-dataset\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Pierse-movie-dataset\"\n\nMore Information needed"
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7f5cd8bfac9cee6eb3a88ba576779a76c30bf806 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Multi-class Text Classification
* Model: Luciano/bertimbau-base-finetuned-brazilian_court_decisions
* Dataset: joelito/brazilian_cour... | autoevaluate/autoeval-eval-joelito__brazilian_court_decisions-joelito__brazilian_c-4bed1b-1985466167 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-04T13:21:46+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["joelito/brazilian_court_decisions"], "eval_info": {"task": "multi_class_classification", "model": "Luciano/bertimbau-base-finetuned-brazilian_court_decisions", "metrics": [], "dataset_name": "joelito/brazilian_court_decisions", "dataset_config":... | 2022-11-04T13:22:24+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Multi-class Text Classification
* Model: Luciano/bertimbau-base-finetuned-brazilian_court_decisions
* Dataset: joelito/brazilian_court_decisions
* Config: joelito--brazi... | [
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04201c6a1a1cb7f50160ab3b0e0a7a630bef5463 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Multi-class Text Classification
* Model: Luciano/bertimbau-base-finetuned-lener-br-finetuned-brazilian_court_decisions
* Dataset: joe... | autoevaluate/autoeval-eval-joelito__brazilian_court_decisions-joelito__brazilian_c-4bed1b-1985466168 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-04T13:21:51+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["joelito/brazilian_court_decisions"], "eval_info": {"task": "multi_class_classification", "model": "Luciano/bertimbau-base-finetuned-lener-br-finetuned-brazilian_court_decisions", "metrics": [], "dataset_name": "joelito/brazilian_court_decisions"... | 2022-11-04T13:22:29+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Multi-class Text Classification
* Model: Luciano/bertimbau-base-finetuned-lener-br-finetuned-brazilian_court_decisions
* Dataset: joelito/brazilian_court_decisions
* Con... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: Luciano/bertimbau-base-finetuned-lener-br-finetuned-brazilian_court_decisions\n* Dataset: joelito/brazilian_court_deci... | [
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46f712c7d0dbfb4aaa83bdce8c4f9a4c2f080e69 | # Dataset Card for "test_splits_order"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | polinaeterna/test_splits_order | [
"region:us"
] | 2022-11-04T13:30:41+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 32, "num_examples": 2}, {"name": "train", "num_bytes": 48, "num_examples": 2}], "download_size": 1776, "dataset_size": 80}} | 2022-11-04T13:30:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "test_splits_order"
More Information needed | [
"# Dataset Card for \"test_splits_order\"\n\nMore Information needed"
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0a118a6d943dba991d968c909121d7e231f968f0 | # Dataset Card for "test_splits"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | polinaeterna/test_splits | [
"region:us"
] | 2022-11-04T13:53:18+00:00 | {"dataset_info": {"features": [{"name": "x", "dtype": "int64"}, {"name": "y", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 116, "num_examples": 8}, {"name": "test", "num_bytes": 46, "num_examples": 3}], "download_size": 1698, "dataset_size": 162}} | 2022-11-04T13:59:01+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "test_splits"
More Information needed | [
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0ff5ded4caccbfeb631f5f70ea3e19a773e0004e | ---
annotations_creators:
- machine-generated
language:
- en
language_creators:
- other
multilinguality:
- monolingual
pretty_name: "Fashion captions"
size_categories:
- n<100K
tags: []
task_categories:
- text-to-image
task_ids: []
---
# Dataset Card for [Dataset Name]
## Table of Contents
- [Table o... | duyngtr16061999/pokemon_fashion_mixed | [
"region:us"
] | 2022-11-04T15:30:52+00:00 | {} | 2022-11-04T16:21:57+00:00 | [] | [] | TAGS
#region-us
| ---
annotations_creators:
- machine-generated
language:
- en
language_creators:
- other
multilinguality:
- monolingual
pretty_name: "Fashion captions"
size_categories:
- n<100K
tags: []
task_categories:
- text-to-image
task_ids: []
---
# Dataset Card for [Dataset Name]
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0308f18780cb95bcb0625b1d0fa798c15d3aa250 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: autoevaluate/zero-shot-classification
* Dataset: autoevaluate/zero-shot-classification-sample
... | autoevaluate/autoeval-eval-autoevaluate__zero-shot-classification-sample-autoevalu-103f11-1986766201 | [
"autotrain",
"evaluation",
"region:us"
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: autoevaluate/zero-shot-classification
* Dataset: autoevaluate/zero-shot-classification-sample
* Config: autoevaluate--zero-shot-cl... | [
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c4c55382a58a997f57ff1100eff6696d1574204d | # Dataset Card for "dirt_teff2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | roydcarlson/dirt_teff2 | [
"region:us"
] | 2022-11-04T17:28:46+00:00 | {"dataset_info": {"features": [{"name": "pixel_values", "dtype": "image"}, {"name": "label", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 6436424.0, "num_examples": 7}], "download_size": 6352411, "dataset_size": 6436424.0}} | 2022-11-04T17:28:50+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dirt_teff2"
More Information needed | [
"# Dataset Card for \"dirt_teff2\"\n\nMore Information needed"
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f2675b210a774ec7e8116c38acb39e724f101ea4 | # Dataset Card for "sidewalk-imagery2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | roydcarlson/sidewalk-imagery2 | [
"region:us"
] | 2022-11-04T18:41:10+00:00 | {"dataset_info": {"features": [{"name": "pixel_values", "dtype": "image"}, {"name": "label", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 3138394.0, "num_examples": 10}], "download_size": 3139599, "dataset_size": 3138394.0}} | 2022-11-04T18:41:17+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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"TAGS\n#region-us \n",
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5976a1c9abfe4c8a216fccd28cd199d22a53a40a | hjvjjv | codysoccerman/my_test_dataset | [
"region:us"
] | 2022-11-04T19:13:19+00:00 | {} | 2022-11-20T01:05:46+00:00 | [] | [] | TAGS
#region-us
| hjvjjv | [] | [
"TAGS\n#region-us \n"
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"passage: TAGS\n#region-us \n"
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590f8ab8f495a868ca9d191a4fd0fb4255d0788a | # SOLD - A Benchmark for Sinhala Offensive Language Identification
In this repository, we introduce the {S}inhala {O}ffensive {L}anguage {D}ataset **(SOLD)** and present multiple experiments on this dataset. **SOLD** is a manually annotated dataset containing 10,000 posts from Twitter annotated as offensive and not of... | sinhala-nlp/SOLD | [
"region:us"
] | 2022-11-04T19:45:07+00:00 | {} | 2022-12-20T20:19:41+00:00 | [] | [] | TAGS
#region-us
| # SOLD - A Benchmark for Sinhala Offensive Language Identification
In this repository, we introduce the {S}inhala {O}ffensive {L}anguage {D}ataset (SOLD) and present multiple experiments on this dataset. SOLD is a manually annotated dataset containing 10,000 posts from Twitter annotated as offensive and not offensive ... | [
"# SOLD - A Benchmark for Sinhala Offensive Language Identification\n\nIn this repository, we introduce the {S}inhala {O}ffensive {L}anguage {D}ataset (SOLD) and present multiple experiments on this dataset. SOLD is a manually annotated dataset containing 10,000 posts from Twitter annotated as offensive and not off... | [
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d3c6aafbdaca0dac1274db14f142f0c20a5348b2 | # SOLD - A Benchmark for Sinhala Offensive Language Identification
In this repository, we introduce the {S}inhala {O}ffensive {L}anguage {D}ataset **(SOLD)** and present multiple experiments on this dataset. **SOLD** is a manually annotated dataset containing 10,000 posts from Twitter annotated as offensive and not of... | sinhala-nlp/SemiSOLD | [
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#region-us
| # SOLD - A Benchmark for Sinhala Offensive Language Identification
In this repository, we introduce the {S}inhala {O}ffensive {L}anguage {D}ataset (SOLD) and present multiple experiments on this dataset. SOLD is a manually annotated dataset containing 10,000 posts from Twitter annotated as offensive and not offensive ... | [
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d2687bf97a010478ad55cdc6b17489d7bdda6158 | # AutoTrain Dataset for project: test
## Dataset Description
This dataset has been automatically processed by AutoTrain for project test.
### 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
[
{
"image... | sirtolkien/autotrain-data-test | [
"task_categories:image-classification",
"doi:10.57967/hf/0090",
"region:us"
] | 2022-11-04T20:56:01+00:00 | {"task_categories": ["image-classification"]} | 2022-11-04T21:02:23+00:00 | [] | [] | TAGS
#task_categories-image-classification #doi-10.57967/hf/0090 #region-us
| AutoTrain Dataset for project: test
===================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project test.
### Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
-----------------
### Data Instances... | [
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8d08878020856ee2a2e28f5624c8c684ee84b2ea | # Dataset Card for Multilingual Sarcasm Detection
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-instances)
- [Dataset Creation... | helinivan/sarcasm_headlines_multilingual | [
"region:us"
] | 2022-11-04T22:23:03+00:00 | {} | 2022-12-04T18:56:53+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for Multilingual Sarcasm Detection
## Table of Contents
- Dataset Description
- Dataset Summary
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Dataset Creation
- Curation Rationale
- Source Data
## Dataset Description
- Repository: URL
### Dataset Summary
Dataset consis... | [
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4192bf0f29316c0ed081510171b83a71883f1eaa | # Dataset Card for "dummy"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arbml/dummy | [
"region:us"
] | 2022-11-04T22:28:56+00:00 | {"dataset_info": {"features": [{"name": "name", "dtype": "string"}, {"name": "age", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "female", "1": "male"}}}}], "splits": [{"name": "train", "num_bytes": 50, "num_examples": 2}], "download_size": 1182, "dataset_size": 50}} | 2022-11-29T15:57:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dummy"
More Information needed | [
"# Dataset Card for \"dummy\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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31d3a08d5af6c0eb87e822ae146b14955d8453e0 |
# Landscape Style Embedding / Textual Inversion
## Usage
To use this embedding you have to download the file aswell as drop it into the "\stable-diffusion-webui\embeddings" folder
Two different Versions:
### Version 1:
File: ```land_style```
To use it in a prompt: ```"art by land_style"```
For best use write som... | Nerfgun3/land_style | [
"language:en",
"license:creativeml-openrail-m",
"stable-diffusion",
"text-to-image",
"region:us"
] | 2022-11-04T22:56:47+00:00 | {"language": ["en"], "license": "creativeml-openrail-m", "tags": ["stable-diffusion", "text-to-image"], "inference": false} | 2022-11-12T14:42:39+00:00 | [] | [
"en"
] | TAGS
#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #region-us
|
# Landscape Style Embedding / Textual Inversion
## Usage
To use this embedding you have to download the file aswell as drop it into the "\stable-diffusion-webui\embeddings" folder
Two different Versions:
### Version 1:
File:
To use it in a prompt:
For best use write something like
### Version 2:
File:
To ... | [
"# Landscape Style Embedding / Textual Inversion",
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"### Version 1:\n\nFile: \n\nTo use it in a prompt: \n\nFor best use write something like",
... | [
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55f1c09dcca698cd7015ff37b35ee2e136df6797 | # Dataset Card for "Romance-baseline"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | MarkGG/Romance-baseline | [
"region:us"
] | 2022-11-05T01:05:26+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 39176840.7, "num_examples": 1105002}, {"name": "validation", "num_bytes": 4352982.3, "num_examples": 122778}], "download_size": 23278822, "dataset_size": 43529823.0}} | 2022-11-05T01:05:46+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Romance-baseline"
More Information needed | [
"# Dataset Card for \"Romance-baseline\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Romance-baseline\"\n\nMore Information needed"
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7b8b77e8fdeb334e3550d1fb6167d4cc92dc6957 |
# Dataset Card for "lmqg/qa_squadshifts"
## Dataset Description
- **Repository:** [https://github.com/asahi417/lm-question-generation](https://github.com/asahi417/lm-question-generation)
- **Paper:** [https://arxiv.org/abs/2004.14444](https://arxiv.org/abs/2004.14444)
- **Point of Contact:** [Asahi Ushio](http://asah... | lmqg/qa_squadshifts | [
"task_categories:question-answering",
"task_ids:extractive-qa",
"multilinguality:monolingual",
"size_categories:1k<n<10k",
"source_datasets:extended|wikipedia",
"language:en",
"license:cc-by-4.0",
"arxiv:2004.14444",
"region:us"
] | 2022-11-05T02:43:19+00:00 | {"language": "en", "license": "cc-by-4.0", "multilinguality": "monolingual", "size_categories": "1k<n<10k", "source_datasets": ["extended|wikipedia"], "task_categories": ["question-answering"], "task_ids": ["extractive-qa"], "pretty_name": "SQuADShifts"} | 2022-11-05T05:10:26+00:00 | [
"2004.14444"
] | [
"en"
] | TAGS
#task_categories-question-answering #task_ids-extractive-qa #multilinguality-monolingual #size_categories-1k<n<10k #source_datasets-extended|wikipedia #language-English #license-cc-by-4.0 #arxiv-2004.14444 #region-us
| Dataset Card for "lmqg/qa\_squadshifts"
=======================================
Dataset Description
-------------------
* Repository: URL
* Paper: URL
* Point of Contact: Asahi Ushio
### Dataset Summary
This is SQuADShifts dataset with custom split of training/validation/test following lmqg/qg\_squadshifts.
#... | [
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"### Languages\n\n\nEnglish (en)\n\n\nDataset Structure\n-----------------",
"### Data Fields\n\n\nThe data... | [
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6f41e1fff033457ae09c882a845a548a1c99ddba | # Dataset Card for "winobias"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | henryscheible/winobias | [
"region:us"
] | 2022-11-05T05:11:18+00:00 | {"dataset_info": {"features": [{"name": "label", "dtype": "int64"}, {"name": "input_ids", "sequence": "int32"}, {"name": "token_type_ids", "sequence": "int8"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "eval", "num_bytes": 230400, "num_examples": 1584}, {"name": "train", "num_bytes": 226080, ... | 2022-11-05T05:11:25+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "winobias"
More Information needed | [
"# Dataset Card for \"winobias\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"winobias\"\n\nMore Information needed"
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3441c9e1f9d053e02e451d65b5e9cbd91759b6c6 | # Dataset Card for "diffusiondb_random_10k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | svjack/diffusiondb_random_10k | [
"region:us"
] | 2022-11-05T06:06:24+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "seed", "dtype": "int64"}, {"name": "step", "dtype": "int64"}, {"name": "cfg", "dtype": "float32"}, {"name": "sampler", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6221323762.0, "num_ex... | 2022-11-05T06:42:29+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "diffusiondb_random_10k"
More Information needed | [
"# Dataset Card for \"diffusiondb_random_10k\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"diffusiondb_random_10k\"\n\nMore Information needed"
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f5e692026a34569c12e41c76f8d454fd9656f041 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/roberta-base-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evalua... | autoevaluate/autoeval-eval-squad_v2-squad_v2-5d46e4-1992966288 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-05T09:05:56+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "deepset/roberta-base-squad2", "metrics": ["accuracy", "bleu", "precision", "recall", "rouge"], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split"... | 2022-11-05T09:08:51+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: deepset/roberta-base-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Face's auto... | [
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0d4919bac6e97e65c5770de6df0c068c6668c1a8 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: abhilash1910/albert-squad-v2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evalu... | autoevaluate/autoeval-eval-squad_v2-squad_v2-5d46e4-1992966289 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-05T09:06:01+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "abhilash1910/albert-squad-v2", "metrics": ["accuracy", "bleu", "precision", "recall", "rouge"], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split... | 2022-11-05T09:10:19+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: abhilash1910/albert-squad-v2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Face's aut... | [
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7d1d7bfc1ce0bc6e4232a162fa62f4bd9fac84aa | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/bert-base-cased-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new eva... | autoevaluate/autoeval-eval-squad_v2-squad_v2-5d46e4-1992966290 | [
"autotrain",
"evaluation",
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: deepset/bert-base-cased-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Face's a... | [
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d3977836565f67db67cf3c73acff318889fe1fb8 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/bert-base-uncased-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new e... | autoevaluate/autoeval-eval-squad_v2-squad_v2-5d46e4-1992966291 | [
"autotrain",
"evaluation",
"region:us"
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: deepset/bert-base-uncased-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Face's... | [
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7ea37d0dd1563d17ca76bbbd94870d0c2ecae6d0 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: distilbert-base-cased-distilled-squad
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run ... | autoevaluate/autoeval-eval-squad_v2-squad_v2-5d46e4-1992966292 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: distilbert-base-cased-distilled-squad
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging F... | [
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5910f37a9ea67db63f742fab701c7f58fa9f2878 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/electra-base-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evalua... | autoevaluate/autoeval-eval-squad_v2-squad_v2-5d46e4-1992966293 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-05T09:06:22+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "deepset/electra-base-squad2", "metrics": ["accuracy", "bleu", "precision", "recall", "rouge"], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split"... | 2022-11-05T09:09:32+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: deepset/electra-base-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Face's auto... | [
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66a8056b617eaed85e83fe96b678b7219229ff03 | # Dataset Card for "eclassCorpus"
This Dataset consists of names and descriptions from ECLASS-standard pump-properties. It can be used to evaluate models on the task of matching paraphrases to the ECLASS-standard pump-properties based on their semantics. | JoBeer/eclassCorpus | [
"region:us"
] | 2022-11-05T11:10:39+00:00 | {"dataset_info": {"features": [{"name": "did", "dtype": "int64"}, {"name": "query", "dtype": "string"}, {"name": "name", "dtype": "string"}, {"name": "datatype", "dtype": "string"}, {"name": "unit", "dtype": "string"}, {"name": "IRDI", "dtype": "string"}, {"name": "metalabel", "dtype": "int64"}], "splits": [{"name": "t... | 2023-01-07T12:35:44+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "eclassCorpus"
This Dataset consists of names and descriptions from ECLASS-standard pump-properties. It can be used to evaluate models on the task of matching paraphrases to the ECLASS-standard pump-properties based on their semantics. | [
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] |
c5883bfc76c2bc55ea74fede5d7b5271424b0e32 | # Dataset Card for "eclassQuery"
This Dataset consists of paraphrases of ECLASS-standard pump-properties. It can be used to evaluate models on the task of matching these paraphrases to the actual ECLASS-standard pump-properties based on their semantics. | JoBeer/eclassQuery | [
"task_categories:sentence-similarity",
"size_categories:1K<n<10K",
"language:en",
"region:us"
] | 2022-11-05T11:14:01+00:00 | {"language": ["en"], "size_categories": ["1K<n<10K"], "task_categories": ["sentence-similarity"], "dataset_info": {"features": [{"name": "did", "dtype": "int64"}, {"name": "query", "dtype": "string"}, {"name": "name", "dtype": "string"}, {"name": "duplicate_id", "dtype": "int64"}, {"name": "metalabel", "dtype": "int64"... | 2023-01-07T12:34:03+00:00 | [] | [
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#task_categories-sentence-similarity #size_categories-1K<n<10K #language-English #region-us
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This Dataset consists of paraphrases of ECLASS-standard pump-properties. It can be used to evaluate models on the task of matching these paraphrases to the actual ECLASS-standard pump-properties based on their semantics. | [
"# Dataset Card for \"eclassQuery\"\n\nThis Dataset consists of paraphrases of ECLASS-standard pump-properties. It can be used to evaluate models on the task of matching these paraphrases to the actual ECLASS-standard pump-properties based on their semantics."
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b0f8f64e6d681f84caa925de86b77e2a61f47903 | # Dataset Card for "farsidecomics-blip-captions"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | maderix/farsidecomics-blip-captions | [
"region:us"
] | 2022-11-05T11:29:45+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 37767218.0, "num_examples": 354}], "download_size": 37175120, "dataset_size": 37767218.0}} | 2022-11-05T11:29:49+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "farsidecomics-blip-captions"
More Information needed | [
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0e804efcc3d6ef4934e925e9ffc7d73f8d33f194 | # Dataset Card for "diffusiondb_random_10k_zh_v1"
svjack/diffusiondb_random_10k_zh_v1 is a dataset that random sample 10k English samples from [diffusiondb](https://github.com/poloclub/diffusiondb) and use [NMT](https://en.wikipedia.org/wiki/Neural_machine_translation) translate them into Chinese with some corrections... | svjack/diffusiondb_random_10k_zh_v1 | [
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"size_categories:10K",
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"language:zh",
"region:us"
] | 2022-11-05T12:02:32+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["other"], "language": ["en", "zh"], "multilinguality": ["multilingual"], "size_categories": ["10K"], "pretty_name": "Pok\u00e9mon BLIP captions", "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}... | 2022-11-08T04:08:23+00:00 | [] | [
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] | TAGS
#annotations_creators-machine-generated #language_creators-other #multilinguality-multilingual #size_categories-10K #language-English #language-Chinese #region-us
| # Dataset Card for "diffusiondb_random_10k_zh_v1"
svjack/diffusiondb_random_10k_zh_v1 is a dataset that random sample 10k English samples from diffusiondb and use NMT translate them into Chinese with some corrections.<br/>
it used to train stable diffusion models in <br/> svjack/Stable-Diffusion-FineTuned-zh-v0<br/>
... | [
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ced75dce72ba1810bd050272470b07b1db519ebc | # Dataset Card for "gal_yair_new"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | galman33/gal_yair_8300_1664x832 | [
"region:us"
] | 2022-11-05T14:04:29+00:00 | {"dataset_info": {"features": [{"name": "lat", "dtype": "float64"}, {"name": "lon", "dtype": "float64"}, {"name": "country_code", "dtype": "string"}, {"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 1502268207.4, "num_examples": 8300}], "download_size": 1410808567, "dataset_size": 1502268... | 2022-11-05T14:54:09+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "gal_yair_new"
More Information needed | [
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c945b082ca08d0a8f3ba227fb78404a09614c36e | # Dataset Card for "counterfact-tracing"
This is adapted from the counterfact dataset from the excellent [ROME paper](https://rome.baulab.info/) from David Bau and Kevin Meng.
This is a dataset of 21919 factual relations, formatted as `data["prompt"]==f"{data['relation_prefix']}{data['subject']}{data['relation_suffix... | NeelNanda/counterfact-tracing | [
"arxiv:2211.00593",
"region:us"
] | 2022-11-05T15:09:51+00:00 | {"dataset_info": {"features": [{"name": "relation", "dtype": "string"}, {"name": "relation_prefix", "dtype": "string"}, {"name": "relation_suffix", "dtype": "string"}, {"name": "prompt", "dtype": "string"}, {"name": "relation_id", "dtype": "string"}, {"name": "target_false_id", "dtype": "string"}, {"name": "target_true... | 2022-11-05T15:19:43+00:00 | [
"2211.00593"
] | [] | TAGS
#arxiv-2211.00593 #region-us
| # Dataset Card for "counterfact-tracing"
This is adapted from the counterfact dataset from the excellent ROME paper from David Bau and Kevin Meng.
This is a dataset of 21919 factual relations, formatted as 'data["prompt"]==f"{data['relation_prefix']}{data['subject']}{data['relation_suffix']}"'. Each has two responses... | [
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9ce26cfd13b8a40a09229eb582d654bf774c11cb | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Natural Language Inference
* Model: w11wo/indonesian-roberta-base-indonli
* Dataset: indonli
* Config: indonli
* Split: test_expert
... | autoevaluate/autoeval-eval-indonli-indonli-717ea6-1995866375 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Natural Language Inference
* Model: w11wo/indonesian-roberta-base-indonli
* Dataset: indonli
* Config: indonli
* Split: test_expert
To run new evaluation jobs, visit Hu... | [
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357bc4f6af754b70dfbb6ced6f48e9728baa8e0d |
# Dataset Card for BIOSSES
## 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)
... | qanastek/Biosses-BLUE | [
"task_categories:text-classification",
"task_ids:text-scoring",
"task_ids:semantic-similarity-scoring",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:n<1K",
"source_datasets:original",
"language:en",
"license:gpl-3.0",
"region... | 2022-11-05T19:27:31+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["en"], "license": ["gpl-3.0"], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["text-scoring", "semantic-similarity-scori... | 2022-11-05T23:23:58+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #task_ids-text-scoring #task_ids-semantic-similarity-scoring #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-n<1K #source_datasets-original #language-English #license-gpl-3.0 #region-us
| Dataset Card for BIOSSES
========================
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
... | [
"### Dataset Summary\n\n\nBIOSSES is a benchmark dataset for biomedical sentence similarity estimation. The dataset comprises 100 sentence pairs, in which each sentence was selected from the TAC (Text Analysis Conference) Biomedical Summarization Track Training Dataset containing articles from the biomedical domain... | [
"TAGS\n#task_categories-text-classification #task_ids-text-scoring #task_ids-semantic-similarity-scoring #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-n<1K #source_datasets-original #language-English #license-gpl-3.0 #region-us \n",
"### Dataset Summ... | [
101,
263,
13,
20,
13,
49,
50,
7,
24,
5,
198,
52,
24,
17
] | [
"passage: TAGS\n#task_categories-text-classification #task_ids-text-scoring #task_ids-semantic-similarity-scoring #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-n<1K #source_datasets-original #language-English #license-gpl-3.0 #region-us \n### Dataset S... |
e9bad8693d5b42ddab7e1c15f2b5524680c5efb2 | `duality_style, art by duality_style` this will give a monochrome, wings/feathers, flowers, and opposite reflection look.
License This embedding is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage. The CreativeML OpenRAIL License specifies:
You can't use the e... | flamesbob/Duality_style | [
"license:creativeml-openrail-m",
"region:us"
] | 2022-11-05T20:34:29+00:00 | {"license": "creativeml-openrail-m"} | 2022-11-05T20:36:53+00:00 | [] | [] | TAGS
#license-creativeml-openrail-m #region-us
| 'duality_style, art by duality_style' this will give a monochrome, wings/feathers, flowers, and opposite reflection look.
License This embedding is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage. The CreativeML OpenRAIL License specifies:
You can't use the e... | [] | [
"TAGS\n#license-creativeml-openrail-m #region-us \n"
] | [
18
] | [
"passage: TAGS\n#license-creativeml-openrail-m #region-us \n"
] |
545e82b4d2819a24aae1ff54048ecf98b7b28231 | # Dataset Card for "ade20k-panoptic-demo"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | nielsr/ade20k-panoptic-demo | [
"region:us"
] | 2022-11-05T21:16:00+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": "image"}, {"name": "segments_info", "list": [{"name": "area", "dtype": "int64"}, {"name": "bbox", "sequence": "int64"}, {"name": "category_id", "dtype": "int64"}, {"name": "id", "dtype": "int64"}, {"name": "iscrowd", "dtype":... | 2022-11-06T17:13:22+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ade20k-panoptic-demo"
More Information needed | [
"# Dataset Card for \"ade20k-panoptic-demo\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"ade20k-panoptic-demo\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"ade20k-panoptic-demo\"\n\nMore Information needed"
] |
8bdd59805ec01cc3920d42a7633083e4dea28265 |
# Lands Between Elden Ring Embedding / Textual Inversion
## Usage
To use this embedding you have to download the file aswell as drop it into the "\stable-diffusion-webui\embeddings" folder
Two different Versions:
### Version 1:
File: ```lands_between```
To use it in a prompt: ```"art by lands_between"```
For bes... | Nerfgun3/Elden_Ring_Embeddings | [
"language:en",
"license:creativeml-openrail-m",
"stable-diffusion",
"text-to-image",
"region:us"
] | 2022-11-05T21:27:46+00:00 | {"language": ["en"], "license": "creativeml-openrail-m", "tags": ["stable-diffusion", "text-to-image"], "inference": false} | 2022-11-12T15:02:39+00:00 | [] | [
"en"
] | TAGS
#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #region-us
| Lands Between Elden Ring Embedding / Textual Inversion
======================================================
Usage
-----
To use this embedding you have to download the file aswell as drop it into the "\stable-diffusion-webui\embeddings" folder
Two different Versions:
### Version 1:
File:
To use it in a pro... | [
"### Version 1:\n\n\nFile:\n\n\nTo use it in a prompt:\n\n\nFor best use write something like",
"### Version 2:\n\n\nFile:\n\n\nTo use it in a prompt:\n\n\nFor best use write something like\n\n\nIf it is to strong just add [] around it.\n\n\nTrained until 7000 steps\n\n\nHave fun :)\n\n\nExample Pictures\n-------... | [
"TAGS\n#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #region-us \n",
"### Version 1:\n\n\nFile:\n\n\nTo use it in a prompt:\n\n\nFor best use write something like",
"### Version 2:\n\n\nFile:\n\n\nTo use it in a prompt:\n\n\nFor best use write something like\n\n\nIf it is to ... | [
35,
19,
230
] | [
"passage: TAGS\n#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #region-us \n### Version 1:\n\n\nFile:\n\n\nTo use it in a prompt:\n\n\nFor best use write something like### Version 2:\n\n\nFile:\n\n\nTo use it in a prompt:\n\n\nFor best use write something like\n\n\nIf it is to str... |
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