sha stringlengths 40 40 | text stringlengths 1 13.4M | id stringlengths 2 117 | tags listlengths 1 7.91k | created_at stringlengths 25 25 | metadata stringlengths 2 875k | last_modified stringlengths 25 25 | arxiv listlengths 0 25 | languages listlengths 0 7.91k | tags_str stringlengths 17 159k | text_str stringlengths 1 447k | text_lists listlengths 0 352 | processed_texts listlengths 1 353 | tokens_length listlengths 1 353 | input_texts listlengths 1 40 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
8e8a05ab1ad3005e3a2f0242377d15b0aa4fada0 |
# Slyvanie Style Embedding / Textual Inversion
## Usage
To use this embedding you have to download the file, as well as drop it into the "\stable-diffusion-webui\embeddings" folder
To use it in a prompt: ```"art by slyvanie_style"```
If it is to strong just add [] around it.
This embedding was trained to 14500 ste... | grullborg/slyvanie_style | [
"language:en",
"license:creativeml-openrail-m",
"stable-diffusion",
"text-to-image",
"region:us"
] | 2022-10-27T02:13:44+00:00 | {"language": ["en"], "license": "creativeml-openrail-m", "tags": ["stable-diffusion", "text-to-image"], "inference": false} | 2022-10-27T02:42:32+00:00 | [] | [
"en"
] | TAGS
#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #region-us
| Slyvanie Style Embedding / Textual Inversion
============================================
Usage
-----
To use this embedding you have to download the file, as well 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.
This embedding was... | [] | [
"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"
] |
d52a3cb0779c7f33f85566d48737fa380d206769 |
This dataset contains 5 second clips of birdcalls for audio generation tests.
There are 20 species represented, with ~500 recordings each. Recordings are from xeno-canto.
These clips were taken from longer samples by identifying calls within the recordings using the approach shown here: https://www.kaggle.com/code/j... | tglcourse/5s_birdcall_samples_top20 | [
"license:unknown",
"region:us"
] | 2022-10-27T06:26:02+00:00 | {"license": ["unknown"], "pretty_name": "5s Birdcall Samples"} | 2022-10-27T06:34:37+00:00 | [] | [] | TAGS
#license-unknown #region-us
|
This dataset contains 5 second clips of birdcalls for audio generation tests.
There are 20 species represented, with ~500 recordings each. Recordings are from xeno-canto.
These clips were taken from longer samples by identifying calls within the recordings using the approach shown here: URL
The audio is represented... | [] | [
"TAGS\n#license-unknown #region-us \n"
] | [
13
] | [
"passage: TAGS\n#license-unknown #region-us \n"
] |
1904eb1374e46b71e86ae1940dbe01678df6c3c6 |
# Dataset Card for GLUE
## Table of Contents
- [Dataset Card for GLUE](#dataset-card-for-glue)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [ax](... | quincyqiang/test | [
"task_categories:text-classification",
"task_ids:acceptability-classification",
"task_ids:natural-language-inference",
"task_ids:semantic-similarity-scoring",
"task_ids:sentiment-classification",
"task_ids:text-scoring",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monol... | 2022-10-27T07:07:57+00:00 | {"annotations_creators": ["other"], "language_creators": ["other"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["acceptability-classification", "natural-lang... | 2022-10-27T07:17:23+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #task_ids-acceptability-classification #task_ids-natural-language-inference #task_ids-semantic-similarity-scoring #task_ids-sentiment-classification #task_ids-text-scoring #annotations_creators-other #language_creators-other #multilinguality-monolingual #size_categories-10K<n<1... | Dataset Card for GLUE
=====================
Table of Contents
-----------------
* Dataset Card for GLUE
+ Table of Contents
+ Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
* ax
* cola
* mnli
* mnli\_matched
* mnli\_mismatched
* mrpc
* qnli
* qqp
* rte
*... | [
"### Dataset Summary\n\n\nGLUE, the General Language Understanding Evaluation benchmark (URL is a collection of resources for training, evaluating, and analyzing natural language understanding systems.",
"### Supported Tasks and Leaderboards\n\n\nThe leaderboard for the GLUE benchmark can be found at this address... | [
"TAGS\n#task_categories-text-classification #task_ids-acceptability-classification #task_ids-natural-language-inference #task_ids-semantic-similarity-scoring #task_ids-sentiment-classification #task_ids-text-scoring #annotations_creators-other #language_creators-other #multilinguality-monolingual #size_categories-1... | [
166,
39,
33,
71,
54,
185,
38,
40,
55,
183,
48,
153,
65,
67,
324,
28,
6,
50,
50,
55,
57,
58,
4,
5,
5,
4,
5,
5,
5,
17,
76,
55,
77,
81,
82,
4,
5,
5,
4,
5,
5,
5,
5,
4,
3,
5,
9,
10,
4,
5,
5,
4,
5,
5,
11,
7,
4,... | [
"passage: TAGS\n#task_categories-text-classification #task_ids-acceptability-classification #task_ids-natural-language-inference #task_ids-semantic-similarity-scoring #task_ids-sentiment-classification #task_ids-text-scoring #annotations_creators-other #language_creators-other #multilinguality-monolingual #size_cat... |
0dbbdb7bc4eda0c61bcbc73049e8aa39ef30913b |
# Dataset Card for V4Design Europeana style dataset
## 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 Stru... | biglam/v4design_europeana_style_dataset | [
"task_categories:image-classification",
"annotations_creators:expert-generated",
"license:other",
"region:us"
] | 2022-10-27T09:55:55+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": [], "language": [], "license": ["other"], "multilinguality": [], "size_categories": [], "source_datasets": [], "task_categories": ["image-classification"], "task_ids": [], "pretty_name": "V4Design Europeana style dataset", "tags": [], "dataset_info": {... | 2022-10-27T10:14:30+00:00 | [] | [] | TAGS
#task_categories-image-classification #annotations_creators-expert-generated #license-other #region-us
|
# Dataset Card for V4Design Europeana style dataset
## 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
-... | [
"# Dataset Card for V4Design Europeana style dataset",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\... | [
"TAGS\n#task_categories-image-classification #annotations_creators-expert-generated #license-other #region-us \n",
"# Dataset Card for V4Design Europeana style dataset",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n-... | [
35,
13,
125,
24,
246,
25,
4,
6,
6,
5,
5,
5,
7,
4,
10,
10,
5,
5,
9,
8,
8,
7,
8,
7,
5,
6,
6,
18
] | [
"passage: TAGS\n#task_categories-image-classification #annotations_creators-expert-generated #license-other #region-us \n# Dataset Card for V4Design Europeana style dataset## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Da... |
c4046158a56bfb31a1d03ab48d2b9b340bc2925f | ---
dataset_info:
- config_name: default
drop_labels: true
--- | polinaeterna/audios | [
"region:us"
] | 2022-10-27T10:28:42+00:00 | {} | 2022-11-03T12:47:07+00:00 | [] | [] | TAGS
#region-us
| ---
dataset_info:
- config_name: default
drop_labels: true
--- | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
5b62ab4c6ef313d063a3c4da33cb14bb2fe94dc9 |
# Dataset Card for Early Printed Books Font Detection Dataset
## 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)
- [Da... | biglam/early_printed_books_font_detection | [
"task_categories:image-classification",
"task_ids:multi-label-image-classification",
"annotations_creators:expert-generated",
"size_categories:10K<n<100K",
"license:cc-by-nc-sa-4.0",
"region:us"
] | 2022-10-27T11:12:02+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": [], "language": [], "license": ["cc-by-nc-sa-4.0"], "multilinguality": [], "size_categories": ["10K<n<100K"], "source_datasets": [], "task_categories": ["image-classification"], "task_ids": ["multi-label-image-classification"], "pretty_name": "Early Pr... | 2022-10-28T14:39:50+00:00 | [] | [] | TAGS
#task_categories-image-classification #task_ids-multi-label-image-classification #annotations_creators-expert-generated #size_categories-10K<n<100K #license-cc-by-nc-sa-4.0 #region-us
|
# Dataset Card for Early Printed Books Font Detection Dataset
## 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
- Sourc... | [
"# Dataset Card for Early Printed Books Font Detection Dataset",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation ... | [
"TAGS\n#task_categories-image-classification #task_ids-multi-label-image-classification #annotations_creators-expert-generated #size_categories-10K<n<100K #license-cc-by-nc-sa-4.0 #region-us \n",
"# Dataset Card for Early Printed Books Font Detection Dataset",
"## Table of Contents\n- Table of Contents\n- Datas... | [
69,
16,
125,
27,
121,
85,
72,
14,
14,
52,
39,
5,
113,
4,
86,
10,
5,
5,
9,
8,
8,
7,
8,
7,
5,
6,
6,
19
] | [
"passage: TAGS\n#task_categories-image-classification #task_ids-multi-label-image-classification #annotations_creators-expert-generated #size_categories-10K<n<100K #license-cc-by-nc-sa-4.0 #region-us \n# Dataset Card for Early Printed Books Font Detection Dataset## Table of Contents\n- Table of Contents\n- Dataset ... |
8d0ff9103525b7e3579b180230fddb3186258301 |
# Tabular Benchmark
## Dataset Description
This dataset is a curation of various datasets from [openML](https://www.openml.org/) and is curated to benchmark performance of various machine learning algorithms.
- **Repository:** https://github.com/LeoGrin/tabular-benchmark/community
- **Paper:** https://hal.archives-... | inria-soda/tabular-benchmark | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"region:us"
] | 2022-10-27T11:34:58+00:00 | {"annotations_creators": [], "license": [], "task_categories": ["tabular-classification", "tabular-regression"], "pretty_name": "tabular_benchmark", "tags": [], "configs": [{"config_name": "clf_cat_albert", "data_files": "clf_cat/albert.csv"}, {"config_name": "clf_cat_compas-two-years", "data_files": "clf_cat/compas-tw... | 2023-09-04T15:37:39+00:00 | [] | [] | TAGS
#task_categories-tabular-classification #task_categories-tabular-regression #region-us
| Tabular Benchmark
=================
Dataset Description
-------------------
This dataset is a curation of various datasets from openML and is curated to benchmark performance of various machine learning algorithms.
* Repository: URL
* Paper: URL
### Dataset Summary
Benchmark made of curation of various tabula... | [
"### Dataset Summary\n\n\nBenchmark made of curation of various tabular data learning tasks, including:\n\n\n* Regression from Numerical and Categorical Features\n* Regression from Numerical Features\n* Classification from Numerical and Categorical Features\n* Classification from Numerical Features",
"### Support... | [
"TAGS\n#task_categories-tabular-classification #task_categories-tabular-regression #region-us \n",
"### Dataset Summary\n\n\nBenchmark made of curation of various tabular data learning tasks, including:\n\n\n* Regression from Numerical and Categorical Features\n* Regression from Numerical Features\n* Classificati... | [
30,
64,
33,
171,
570,
22,
26,
77
] | [
"passage: TAGS\n#task_categories-tabular-classification #task_categories-tabular-regression #region-us \n### Dataset Summary\n\n\nBenchmark made of curation of various tabular data learning tasks, including:\n\n\n* Regression from Numerical and Categorical Features\n* Regression from Numerical Features\n* Classific... |
187435967cbdfa88395fd379e9f403c8b6ac46f3 | # AutoTrain Dataset for project: lojban-translation
## Dataset Description
This dataset has been automatically processed by AutoTrain for project lojban-translation.
### Languages
The BCP-47 code for the dataset's language is en2jb.
## Dataset Structure
### Data Instances
A sample from this dataset looks as foll... | woctordho/autotrain-data-lojban-translation | [
"task_categories:translation",
"language:en",
"language:jbo",
"license:mit",
"region:us"
] | 2022-10-27T12:05:43+00:00 | {"language": ["en", "jbo"], "license": "mit", "task_categories": ["translation"]} | 2023-11-17T11:18:19+00:00 | [] | [
"en",
"jbo"
] | TAGS
#task_categories-translation #language-English #language-Lojban #license-mit #region-us
| AutoTrain Dataset for project: lojban-translation
=================================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project lojban-translation.
### Languages
The BCP-47 code for the dataset's language is en2jb.
Dataset Stru... | [
"### Languages\n\n\nThe BCP-47 code for the dataset's language is en2jb.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):",
"### Dataset Splits\n\n\nThis... | [
"TAGS\n#task_categories-translation #language-English #language-Lojban #license-mit #region-us \n",
"### Languages\n\n\nThe BCP-47 code for the dataset's language is en2jb.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n... | [
30,
29,
17,
23,
27
] | [
"passage: TAGS\n#task_categories-translation #language-English #language-Lojban #license-mit #region-us \n### Languages\n\n\nThe BCP-47 code for the dataset's language is en2jb.\n\n\nDataset Structure\n-----------------### Data Instances\n\n\nA sample from this dataset looks as follows:### Dataset Fields\n\n\nThe d... |
a95e3d32256c9b0b1048b517554c9cf29adf3f2a | # AutoTrain Dataset for project: company-description-generator
## Dataset Description
This dataset has been automatically processed by AutoTrain for project company-description-generator.
### Languages
The BCP-47 code for the dataset's language is en.
## Dataset Structure
### Data Instances
A sample from this da... | mindthebridge/autotrain-data-company-description-generator | [
"language:en",
"region:us"
] | 2022-10-27T12:47:29+00:00 | {"language": ["en"], "task_categories": ["conditional-text-generation"]} | 2022-10-27T12:49:03+00:00 | [] | [
"en"
] | TAGS
#language-English #region-us
| AutoTrain Dataset for project: company-description-generator
============================================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project company-description-generator.
### Languages
The BCP-47 code for the dataset's ... | [
"### 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\"):",
"### Dataset Splits\n\n\nThis da... | [
"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 \"featur... | [
10,
26,
17,
23,
27
] | [
"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\"):###... |
cb7f336db3519b9ce33ca2dcd11cf0e306f56dea | # Dataset Card for Product Reviews
Customer reviews of Amazon products, categorised by the number of stars assigned to each product. The dataset consists of several thousand reviews in English, German, and French.
## Licensing information
This datasets is based on the [`amazon_reviews_multi`](https://huggingface.co... | mgb-dx-meetup/product-reviews | [
"region:us"
] | 2022-10-27T14:11:15+00:00 | {"dataset_info": {"features": [{"name": "review_id", "dtype": "string"}, {"name": "product_id", "dtype": "string"}, {"name": "reviewer_id", "dtype": "string"}, {"name": "stars", "dtype": "int32"}, {"name": "review_body", "dtype": "string"}, {"name": "review_title", "dtype": "string"}, {"name": "language", "dtype": "str... | 2022-10-27T14:25:55+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for Product Reviews
Customer reviews of Amazon products, categorised by the number of stars assigned to each product. The dataset consists of several thousand reviews in English, German, and French.
## Licensing information
This datasets is based on the 'amazon_reviews_multi' dataset. | [
"# Dataset Card for Product Reviews\n\nCustomer reviews of Amazon products, categorised by the number of stars assigned to each product. The dataset consists of several thousand reviews in English, German, and French.",
"## Licensing information\n\nThis datasets is based on the 'amazon_reviews_multi' dataset."
] | [
"TAGS\n#region-us \n",
"# Dataset Card for Product Reviews\n\nCustomer reviews of Amazon products, categorised by the number of stars assigned to each product. The dataset consists of several thousand reviews in English, German, and French.",
"## Licensing information\n\nThis datasets is based on the 'amazon_re... | [
6,
45,
25
] | [
"passage: TAGS\n#region-us \n# Dataset Card for Product Reviews\n\nCustomer reviews of Amazon products, categorised by the number of stars assigned to each product. The dataset consists of several thousand reviews in English, German, and French.## Licensing information\n\nThis datasets is based on the 'amazon_revie... |
f4f954f99f54f4a8261f1ab7b28469550c4bceeb |
# Ao 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 ao_style"```
If it is to strong just add [] around it.
Trained until 10000 steps
I added a 7.5k steps tr... | Nerfgun3/ao_style | [
"language:en",
"license:creativeml-openrail-m",
"stable-diffusion",
"text-to-image",
"region:us"
] | 2022-10-27T14:28:24+00:00 | {"language": ["en"], "license": "creativeml-openrail-m", "tags": ["stable-diffusion", "text-to-image"], "inference": false} | 2022-10-29T10:16:29+00:00 | [] | [
"en"
] | TAGS
#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #region-us
| Ao 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 10000 steps
I ... | [] | [
"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"
] |
7f557c5d4da73b73ea90c3e0ab9663484f25b992 |
# Mikeou 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 mikeou_art"```
If it is to strong just add [] around it.
Trained until 10000 steps
I added a 7.5k st... | Nerfgun3/mikeou_art | [
"language:en",
"license:creativeml-openrail-m",
"stable-diffusion",
"text-to-image",
"region:us"
] | 2022-10-27T14:29:59+00:00 | {"language": ["en"], "license": "creativeml-openrail-m", "tags": ["stable-diffusion", "text-to-image"], "inference": false} | 2022-10-29T10:18:34+00:00 | [] | [
"en"
] | TAGS
#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #region-us
| Mikeou 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 10000 st... | [] | [
"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"
] |
9961aeb4e5e069a1760792883bbb4df34eb03fad | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: ARTeLab/it5-summarization-ilpost
* Dataset: ARTeLab/ilpost
* Config: ARTeLab--ilpost
* Split: test
To run new... | autoevaluate/autoeval-eval-ARTeLab__ilpost-ARTeLab__ilpost-d2ea00-1904764775 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-27T14:40:50+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["ARTeLab/ilpost"], "eval_info": {"task": "summarization", "model": "ARTeLab/it5-summarization-ilpost", "metrics": ["bertscore"], "dataset_name": "ARTeLab/ilpost", "dataset_config": "ARTeLab--ilpost", "dataset_split": "test", "col_mapping": {"text... | 2022-10-27T14:44:41+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: Summarization
* Model: ARTeLab/it5-summarization-ilpost
* Dataset: ARTeLab/ilpost
* Config: ARTeLab--ilpost
* Split: test
To run new evaluation jobs, visit Hugging Face... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: ARTeLab/it5-summarization-ilpost\n* Dataset: ARTeLab/ilpost\n* Config: ARTeLab--ilpost\n* Split: test\n\nTo run new evaluation jobs, vis... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: ARTeLab/it5-summarization-ilpost\n* Dataset: ARTeLab/ilpost\n* Config: ARTeLab--ilpost\n... | [
13,
97,
16
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: ARTeLab/it5-summarization-ilpost\n* Dataset: ARTeLab/ilpost\n* Config: ARTeLab--ilpos... |
8ab5d278ab48d4d9943fca87fbaf33774faf65e8 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: ARTeLab/it5-summarization-fanpage
* Dataset: ARTeLab/fanpage
* Config: ARTeLab--fanpage
* Split: test
To run ... | autoevaluate/autoeval-eval-ARTeLab__fanpage-ARTeLab__fanpage-6c7fce-1904864776 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-27T14:40:56+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["ARTeLab/fanpage"], "eval_info": {"task": "summarization", "model": "ARTeLab/it5-summarization-fanpage", "metrics": ["bertscore"], "dataset_name": "ARTeLab/fanpage", "dataset_config": "ARTeLab--fanpage", "dataset_split": "test", "col_mapping": {"... | 2022-10-27T14:47:53+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: Summarization
* Model: ARTeLab/it5-summarization-fanpage
* Dataset: ARTeLab/fanpage
* Config: ARTeLab--fanpage
* Split: test
To run new evaluation jobs, visit Hugging F... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: ARTeLab/it5-summarization-fanpage\n* Dataset: ARTeLab/fanpage\n* Config: ARTeLab--fanpage\n* Split: test\n\nTo run new evaluation jobs, ... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: ARTeLab/it5-summarization-fanpage\n* Dataset: ARTeLab/fanpage\n* Config: ARTeLab--fanpag... | [
13,
97,
16
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: ARTeLab/it5-summarization-fanpage\n* Dataset: ARTeLab/fanpage\n* Config: ARTeLab--fan... |
4da865e1b2019c88a45f920e7c8896be5c86033d | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: ARTeLab/it5-summarization-mlsum
* Dataset: ARTeLab/mlsum-it
* Config: ARTeLab--mlsum-it
* Split: test
To run ... | autoevaluate/autoeval-eval-ARTeLab__mlsum-it-ARTeLab__mlsum-it-b0baa7-1904964782 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-27T14:52:25+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["ARTeLab/mlsum-it"], "eval_info": {"task": "summarization", "model": "ARTeLab/it5-summarization-mlsum", "metrics": ["bertscore"], "dataset_name": "ARTeLab/mlsum-it", "dataset_config": "ARTeLab--mlsum-it", "dataset_split": "test", "col_mapping": {... | 2022-10-27T14:55:45+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: Summarization
* Model: ARTeLab/it5-summarization-mlsum
* Dataset: ARTeLab/mlsum-it
* Config: ARTeLab--mlsum-it
* Split: test
To run new evaluation jobs, visit Hugging F... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: ARTeLab/it5-summarization-mlsum\n* Dataset: ARTeLab/mlsum-it\n* Config: ARTeLab--mlsum-it\n* Split: test\n\nTo run new evaluation jobs, ... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: ARTeLab/it5-summarization-mlsum\n* Dataset: ARTeLab/mlsum-it\n* Config: ARTeLab--mlsum-i... | [
13,
101,
16
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: ARTeLab/it5-summarization-mlsum\n* Dataset: ARTeLab/mlsum-it\n* Config: ARTeLab--mlsu... |
8e4d20db185e50b3a66dcaa7f87468a48efedd55 | # Dataset Card for "hotel-reviews"
[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/jiashenliu/515k-hotel-reviews-data-in-europe) | ashraq/hotel-reviews | [
"region:us"
] | 2022-10-27T16:22:07+00:00 | {"dataset_info": {"features": [{"name": "review_date", "dtype": "string"}, {"name": "hotel_name", "dtype": "string"}, {"name": "review", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 15043294, "num_examples": 93757}], "download_size": 6100544, "dataset_size": 15043294}} | 2022-10-27T16:24:29+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "hotel-reviews"
More Information needed
Data was obtained from here | [
"# Dataset Card for \"hotel-reviews\"\n\nMore Information needed\n\nData was obtained from here"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"hotel-reviews\"\n\nMore Information needed\n\nData was obtained from here"
] | [
6,
20
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"hotel-reviews\"\n\nMore Information needed\n\nData was obtained from here"
] |
1ed13e8ef280bd45e3bbac4cfa8bbd9d64ec9f89 | # Dataset Card for Naruto BLIP captions
_Dataset used to train [TBD](TBD)._
The original images were obtained from [narutopedia.com](https://naruto.fandom.com/wiki/Narutopedia) and captioned with the [pre-trained BLIP model](https://github.com/salesforce/BLIP).
For each row the dataset contains `image` and `text` ke... | lambdalabs/naruto-blip-captions | [
"region:us"
] | 2022-10-27T17:02:46+00:00 | {} | 2022-10-27T20:17:06+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for Naruto BLIP captions
_Dataset used to train TBD._
The original images were obtained from URL and captioned with the pre-trained BLIP model.
For each row the dataset contains 'image' and 'text' keys. 'image' is a varying size PIL jpeg, and 'text' is the accompanying text caption. Only a train split... | [
"# Dataset Card for Naruto BLIP captions\n\n_Dataset used to train TBD._\n\nThe original images were obtained from URL and captioned with the pre-trained BLIP model.\n\nFor each row the dataset contains 'image' and 'text' keys. 'image' is a varying size PIL jpeg, and 'text' is the accompanying text caption. Only a ... | [
"TAGS\n#region-us \n",
"# Dataset Card for Naruto BLIP captions\n\n_Dataset used to train TBD._\n\nThe original images were obtained from URL and captioned with the pre-trained BLIP model.\n\nFor each row the dataset contains 'image' and 'text' keys. 'image' is a varying size PIL jpeg, and 'text' is the accompany... | [
6,
92,
73
] | [
"passage: TAGS\n#region-us \n# Dataset Card for Naruto BLIP captions\n\n_Dataset used to train TBD._\n\nThe original images were obtained from URL and captioned with the pre-trained BLIP model.\n\nFor each row the dataset contains 'image' and 'text' keys. 'image' is a varying size PIL jpeg, and 'text' is the accomp... |
29d8c48af080c04fc9e645d72cae49b38866026c | # Dataset Card for "reqs"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | hasanriaz121/reqs | [
"region:us"
] | 2022-10-27T17:05:57+00:00 | {"dataset_info": {"features": [{"name": "Unnamed: 0", "dtype": "int64"}, {"name": "requirement_txt", "dtype": "string"}, {"name": "EF", "dtype": "int64"}, {"name": "PE", "dtype": "int64"}, {"name": "PO", "dtype": "int64"}, {"name": "RE", "dtype": "int64"}, {"name": "SE", "dtype": "int64"}, {"name": "US", "dtype": "int6... | 2022-10-27T17:06:50+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "reqs"
More Information needed | [
"# Dataset Card for \"reqs\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"reqs\"\n\nMore Information needed"
] | [
6,
13
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"reqs\"\n\nMore Information needed"
] |
4788cd2a26eae8a1e6534d87b1bfbad82c3a9dc2 |
# Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answering
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structur... | AmazonScience/mintaka | [
"task_categories:question-answering",
"task_ids:open-domain-qa",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:ar",
"multilinguality:de",
"multilinguality:ja",
"multilinguality:hi",
"multilinguality:pt",
"multilinguality:en",
"multilinguality:es",
"multil... | 2022-10-27T17:38:30+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "license": ["cc-by-4.0"], "multilinguality": ["ar", "de", "ja", "hi", "pt", "en", "es", "it", "fr"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["question-answering"], "task_ids": ["open-domain-qa"]... | 2022-10-28T09:55:50+00:00 | [] | [] | TAGS
#task_categories-question-answering #task_ids-open-domain-qa #annotations_creators-expert-generated #language_creators-found #multilinguality-ar #multilinguality-de #multilinguality-ja #multilinguality-hi #multilinguality-pt #multilinguality-en #multilinguality-es #multilinguality-it #multilinguality-fr #size_cate... |
# Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answering
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
... | [
"# Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answering",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Cu... | [
"TAGS\n#task_categories-question-answering #task_ids-open-domain-qa #annotations_creators-expert-generated #language_creators-found #multilinguality-ar #multilinguality-de #multilinguality-ja #multilinguality-hi #multilinguality-pt #multilinguality-en #multilinguality-es #multilinguality-it #multilinguality-fr #siz... | [
134,
24,
120,
26,
429,
39,
39,
6,
18,
193,
34,
18,
8,
7,
8,
7,
5,
11,
32,
16
] | [
"passage: TAGS\n#task_categories-question-answering #task_ids-open-domain-qa #annotations_creators-expert-generated #language_creators-found #multilinguality-ar #multilinguality-de #multilinguality-ja #multilinguality-hi #multilinguality-pt #multilinguality-en #multilinguality-es #multilinguality-it #multilingualit... |
61b99919bdf522fee905ba7f3e3e8b67e58e80e5 | # Dataset Card for "early_printed_books_font_detection_loaded"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | biglam/early_printed_books_font_detection_loaded | [
"region:us"
] | 2022-10-27T19:07:55+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "labels", "sequence": {"class_label": {"names": {"0": "greek", "1": "antiqua", "2": "other_font", "3": "not_a_font", "4": "italic", "5": "rotunda", "6": "textura", "7": "fraktur", "8": "schwabacher", "9": "hebrew", "10": "bastarda", "11": "got... | 2022-10-28T07:47:45+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "early_printed_books_font_detection_loaded"
More Information needed | [
"# Dataset Card for \"early_printed_books_font_detection_loaded\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"early_printed_books_font_detection_loaded\"\n\nMore Information needed"
] | [
6,
25
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"early_printed_books_font_detection_loaded\"\n\nMore Information needed"
] |
d46098f2cd8b030fe0d6c9e5fe32e0e47aaad681 | <h4> Disclosure </h4>
<p> While its not perfect i hope that you are able to create some nice pieces with it, i am working on improving for the next embedding coming soon, if you have any suggestions or issues please let me know </p>
<h4> Usage </h4>
To use this embedding you have to download the file and put it into... | zZWipeoutZz/skeleton_slime | [
"license:creativeml-openrail-m",
"region:us"
] | 2022-10-27T20:21:30+00:00 | {"license": "creativeml-openrail-m"} | 2022-10-28T08:48:03+00:00 | [] | [] | TAGS
#license-creativeml-openrail-m #region-us
| #### Disclosure
While its not perfect i hope that you are able to create some nice pieces with it, i am working on improving for the next embedding coming soon, if you have any suggestions or issues please let me know
#### Usage
To use this embedding you have to download the file and put it into the "\stable-... | [
"#### Disclosure\n\n\n While its not perfect i hope that you are able to create some nice pieces with it, i am working on improving for the next embedding coming soon, if you have any suggestions or issues please let me know",
"#### Usage\n\n\nTo use this embedding you have to download the file and put it into ... | [
"TAGS\n#license-creativeml-openrail-m #region-us \n",
"#### Disclosure\n\n\n While its not perfect i hope that you are able to create some nice pieces with it, i am working on improving for the next embedding coming soon, if you have any suggestions or issues please let me know",
"#### Usage\n\n\nTo use this ... | [
18,
47,
65,
64,
5,
241
] | [
"passage: TAGS\n#license-creativeml-openrail-m #region-us \n#### Disclosure\n\n\n While its not perfect i hope that you are able to create some nice pieces with it, i am working on improving for the next embedding coming soon, if you have any suggestions or issues please let me know#### Usage\n\n\nTo use this emb... |
ff3d266876d88b216558abbb04575e2efe7a252b | # Dataset Card for "tydiqa_secondary_task"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Mostafa3zazi/tydiqa_secondary_task | [
"region:us"
] | 2022-10-27T21:52:22+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answers", "sequence": [{"name": "text", "dtype": "string"}, {"name": "answer_start", "dtype": "int32"}]}], "splits": [{"name"... | 2022-10-27T21:52:30+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "tydiqa_secondary_task"
More Information needed | [
"# Dataset Card for \"tydiqa_secondary_task\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"tydiqa_secondary_task\"\n\nMore Information needed"
] | [
6,
19
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"tydiqa_secondary_task\"\n\nMore Information needed"
] |
f364ba93d5e59758672fdf2ff59b4a505ab3caba | # Dataset Card for "eurosat"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | vicm0r/eurosat | [
"region:us"
] | 2022-10-27T23:17:50+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "AnnualCrop", "1": "Forest", "2": "HerbaceousVegetation", "3": "Highway", "4": "Industrial", "5": "Pasture", "6": "PermanentCrop", "7": "Residential", "8": "River", "9": "SeaLake"}}}}], "splits... | 2022-10-27T23:17:56+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "eurosat"
More Information needed | [
"# Dataset Card for \"eurosat\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"eurosat\"\n\nMore Information needed"
] | [
6,
12
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"eurosat\"\n\nMore Information needed"
] |
1914ab53af43442e03b97a42d1fc6ba76e04bf53 | # Dataset Card for "Human_obj_bg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | TeddyCat/Human_obj_bg | [
"region:us"
] | 2022-10-28T02:25:32+00:00 | {"dataset_info": {"features": [{"name": "pixel_values", "dtype": "image"}, {"name": "label", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 350102.0, "num_examples": 20}], "download_size": 337556, "dataset_size": 350102.0}} | 2022-12-18T05:02:54+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Human_obj_bg"
More Information needed | [
"# Dataset Card for \"Human_obj_bg\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Human_obj_bg\"\n\nMore Information needed"
] | [
6,
16
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"Human_obj_bg\"\n\nMore Information needed"
] |
443f28582af7d75148a31c76a300efa4b5b0108a | # 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: facebook/opt-6.7b
* Dataset: mathemakitten/winobias_antistereotype_test_cot_v1
* Config: mathe... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_cot_v1-math-6c03d1-1913164906 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-28T03:06:36+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["mathemakitten/winobias_antistereotype_test_cot_v1"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-6.7b", "metrics": [], "dataset_name": "mathemakitten/winobias_antistereotype_test_cot_v1", "dataset_config": "math... | 2022-10-28T03:21:46+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: Zero-Shot Text Classification
* Model: facebook/opt-6.7b
* Dataset: mathemakitten/winobias_antistereotype_test_cot_v1
* Config: mathemakitten--winobias_antistereotype_te... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-6.7b\n* Dataset: mathemakitten/winobias_antistereotype_test_cot_v1\n* Config: mathemakitten--winobias_antis... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-6.7b\n* Dataset: mathemakitten/winobias_antistereotype_test... | [
13,
124,
17
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-6.7b\n* Dataset: mathemakitten/winobias_antistereotype_t... |
7f7e1e829257c402b1de674dcae98afac66756de | # 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: facebook/opt-66b
* Dataset: mathemakitten/winobias_antistereotype_test_cot_v1
* Config: mathem... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_cot_v1-math-6c03d1-1913164909 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-28T03:06:37+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["mathemakitten/winobias_antistereotype_test_cot_v1"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-66b", "metrics": [], "dataset_name": "mathemakitten/winobias_antistereotype_test_cot_v1", "dataset_config": "mathe... | 2022-10-28T05:25:07+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: Zero-Shot Text Classification
* Model: facebook/opt-66b
* Dataset: mathemakitten/winobias_antistereotype_test_cot_v1
* Config: mathemakitten--winobias_antistereotype_tes... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-66b\n* Dataset: mathemakitten/winobias_antistereotype_test_cot_v1\n* Config: mathemakitten--winobias_antist... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-66b\n* Dataset: mathemakitten/winobias_antistereotype_test_... | [
13,
124,
17
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-66b\n* Dataset: mathemakitten/winobias_antistereotype_te... |
77fee1ab3232c91e763d3505780ec8e6b633e065 | # 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: ArthurZ/opt-350m
* Dataset: mathemakitten/winobias_antistereotype_test_cot_v1
* Config: mathem... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_cot_v1-math-6c03d1-1913164903 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-28T03:06:37+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["mathemakitten/winobias_antistereotype_test_cot_v1"], "eval_info": {"task": "text_zero_shot_classification", "model": "ArthurZ/opt-350m", "metrics": [], "dataset_name": "mathemakitten/winobias_antistereotype_test_cot_v1", "dataset_config": "mathe... | 2022-10-28T03:08:28+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: Zero-Shot Text Classification
* Model: ArthurZ/opt-350m
* Dataset: mathemakitten/winobias_antistereotype_test_cot_v1
* Config: mathemakitten--winobias_antistereotype_tes... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: ArthurZ/opt-350m\n* Dataset: mathemakitten/winobias_antistereotype_test_cot_v1\n* Config: mathemakitten--winobias_antist... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: ArthurZ/opt-350m\n* Dataset: mathemakitten/winobias_antistereotype_test_... | [
13,
125,
17
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: ArthurZ/opt-350m\n* Dataset: mathemakitten/winobias_antistereotype_te... |
ef0156d81134002a97402df78322bb674e400708 | # 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: facebook/opt-30b
* Dataset: mathemakitten/winobias_antistereotype_test_cot_v1
* Config: mathem... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_cot_v1-math-6c03d1-1913164908 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-28T03:06:46+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["mathemakitten/winobias_antistereotype_test_cot_v1"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-30b", "metrics": [], "dataset_name": "mathemakitten/winobias_antistereotype_test_cot_v1", "dataset_config": "mathe... | 2022-10-28T04:06:39+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: Zero-Shot Text Classification
* Model: facebook/opt-30b
* Dataset: mathemakitten/winobias_antistereotype_test_cot_v1
* Config: mathemakitten--winobias_antistereotype_tes... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-30b\n* Dataset: mathemakitten/winobias_antistereotype_test_cot_v1\n* Config: mathemakitten--winobias_antist... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-30b\n* Dataset: mathemakitten/winobias_antistereotype_test_... | [
13,
123,
17
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-30b\n* Dataset: mathemakitten/winobias_antistereotype_te... |
f130023e49e8c83786974b72fc1852c574028a83 | # 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: ArthurZ/opt-125m
* Dataset: mathemakitten/winobias_antistereotype_test_cot_v1
* Config: mathem... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_cot_v1-math-6c03d1-1913164902 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-28T03:07:57+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["mathemakitten/winobias_antistereotype_test_cot_v1"], "eval_info": {"task": "text_zero_shot_classification", "model": "ArthurZ/opt-125m", "metrics": [], "dataset_name": "mathemakitten/winobias_antistereotype_test_cot_v1", "dataset_config": "mathe... | 2022-10-28T03:08:50+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: Zero-Shot Text Classification
* Model: ArthurZ/opt-125m
* Dataset: mathemakitten/winobias_antistereotype_test_cot_v1
* Config: mathemakitten--winobias_antistereotype_tes... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: ArthurZ/opt-125m\n* Dataset: mathemakitten/winobias_antistereotype_test_cot_v1\n* Config: mathemakitten--winobias_antist... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: ArthurZ/opt-125m\n* Dataset: mathemakitten/winobias_antistereotype_test_... | [
13,
125,
17
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: ArthurZ/opt-125m\n* Dataset: mathemakitten/winobias_antistereotype_te... |
2acaa832b1e781b8a91915bdbc119828f71b5556 |
# Dataset Card for SyNLI
A synthetic NLI datasets from open domain sentences using T5 as data synthesizer. The data can be used to train sentence embedding models.
## Data Fields
The data have several fields:
- `sent0`: premise as a string
- `sent1`: entailment hypothesis as a string
- `hard_neg`: contradiction hypot... | mattymchen/synli | [
"license:odc-by",
"region:us"
] | 2022-10-28T04:23:23+00:00 | {"license": "odc-by", "dataset_info": {"features": [{"name": "sent0", "dtype": "string"}, {"name": "sent1", "dtype": "string"}, {"name": "hard_neg", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 11441750654, "num_examples": 60939492}], "download_size": 6904073153, "dataset_size": 11441750654}} | 2022-10-28T07:52:16+00:00 | [] | [] | TAGS
#license-odc-by #region-us
|
# Dataset Card for SyNLI
A synthetic NLI datasets from open domain sentences using T5 as data synthesizer. The data can be used to train sentence embedding models.
## Data Fields
The data have several fields:
- 'sent0': premise as a string
- 'sent1': entailment hypothesis as a string
- 'hard_neg': contradiction hypot... | [
"# Dataset Card for SyNLI\nA synthetic NLI datasets from open domain sentences using T5 as data synthesizer. The data can be used to train sentence embedding models.",
"## Data Fields\nThe data have several fields:\n- 'sent0': premise as a string\n- 'sent1': entailment hypothesis as a string\n- 'hard_neg': contra... | [
"TAGS\n#license-odc-by #region-us \n",
"# Dataset Card for SyNLI\nA synthetic NLI datasets from open domain sentences using T5 as data synthesizer. The data can be used to train sentence embedding models.",
"## Data Fields\nThe data have several fields:\n- 'sent0': premise as a string\n- 'sent1': entailment hyp... | [
14,
44,
52
] | [
"passage: TAGS\n#license-odc-by #region-us \n# Dataset Card for SyNLI\nA synthetic NLI datasets from open domain sentences using T5 as data synthesizer. The data can be used to train sentence embedding models.## Data Fields\nThe data have several fields:\n- 'sent0': premise as a string\n- 'sent1': entailment hypoth... |
a4d47050c1f1a90dc09c8920cd66ebc1e1523ca0 | # Dataset Card for "Romance-cleaned-2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | MarkGG/Romance-cleaned-2 | [
"region:us"
] | 2022-10-28T06:20:14+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3407789.8839248433, "num_examples": 6466}, {"name": "validation", "num_bytes": 378936.11607515655, "num_examples": 719}], "download_size": 2403265, "dataset_size": 3786726.0}} | 2022-10-28T06:20:20+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Romance-cleaned-2"
More Information needed | [
"# Dataset Card for \"Romance-cleaned-2\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Romance-cleaned-2\"\n\nMore Information needed"
] | [
6,
17
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"Romance-cleaned-2\"\n\nMore Information needed"
] |
b600bc01160467f3102f821deadf0e130637f94e | # Dataset Card for "latent_lsun_church_256px"
This is derived from https://huggingface.co/datasets/tglcourse/lsun_church_train
Each image is cropped to 256px square and encoded to a 4x32x32 latent representation using the same VAE as that employed by Stable Diffusion
Decoding
```python
from diffusers import Autoenco... | tglcourse/latent_lsun_church_256px | [
"region:us"
] | 2022-10-28T06:45:35+00:00 | {"dataset_info": {"features": [{"name": "label", "dtype": {"class_label": {"names": {"0": "0", "1": "1", "2": "2", "3": "3", "4": "4", "5": "5", "6": "6", "7": "7", "8": "8", "9": "9", "10": "a", "11": "b", "12": "c", "13": "d", "14": "e", "15": "f"}}}}, {"name": "latent", "sequence": {"sequence": {"sequence": "float32... | 2022-10-28T06:57:35+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "latent_lsun_church_256px"
This is derived from URL
Each image is cropped to 256px square and encoded to a 4x32x32 latent representation using the same VAE as that employed by Stable Diffusion
Decoding
| [
"# Dataset Card for \"latent_lsun_church_256px\"\n\nThis is derived from URL\n\nEach image is cropped to 256px square and encoded to a 4x32x32 latent representation using the same VAE as that employed by Stable Diffusion\n\nDecoding"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"latent_lsun_church_256px\"\n\nThis is derived from URL\n\nEach image is cropped to 256px square and encoded to a 4x32x32 latent representation using the same VAE as that employed by Stable Diffusion\n\nDecoding"
] | [
6,
68
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"latent_lsun_church_256px\"\n\nThis is derived from URL\n\nEach image is cropped to 256px square and encoded to a 4x32x32 latent representation using the same VAE as that employed by Stable Diffusion\n\nDecoding"
] |
30044e415f19965e2435434396f050322bca523f | # Dataset Card for "uniprot_sprot"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | wesleywt/uniprot_sprot | [
"region:us"
] | 2022-10-28T08:09:42+00:00 | {"dataset_info": {"features": [{"name": "uniprot_id", "dtype": "string"}, {"name": "sequences", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 21314102.893347207, "num_examples": 56801}, {"name": "train", "num_bytes": 191823924.1066528, "num_examples": 511201}], "download_size": 211969427, "dataset_size"... | 2022-10-30T12:44:58+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "uniprot_sprot"
More Information needed | [
"# Dataset Card for \"uniprot_sprot\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"uniprot_sprot\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"uniprot_sprot\"\n\nMore Information needed"
] |
e40d5764be1040bac56f49cea5df9d243e8d904b | # Dataset Card for "latent_afhqv2_256px"
Each image is cropped to 256px square and encoded to a 4x32x32 latent representation using the same VAE as that employed by Stable Diffusion
Decoding
```python
from diffusers import AutoencoderKL
from datasets import load_dataset
from PIL import Image
import numpy as np
import... | tglcourse/latent_afhqv2_256px | [
"region:us"
] | 2022-10-28T08:19:16+00:00 | {"dataset_info": {"features": [{"name": "label", "dtype": {"class_label": {"names": {"0": "cat", "1": "dog", "2": "wild"}}}}, {"name": "latent", "sequence": {"sequence": {"sequence": "float32"}}}], "splits": [{"name": "train", "num_bytes": 267449972, "num_examples": 15803}], "download_size": 260672854, "dataset_size": ... | 2022-10-28T10:51:36+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "latent_afhqv2_256px"
Each image is cropped to 256px square and encoded to a 4x32x32 latent representation using the same VAE as that employed by Stable Diffusion
Decoding
| [
"# Dataset Card for \"latent_afhqv2_256px\"\n\nEach image is cropped to 256px square and encoded to a 4x32x32 latent representation using the same VAE as that employed by Stable Diffusion\n\nDecoding"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"latent_afhqv2_256px\"\n\nEach image is cropped to 256px square and encoded to a 4x32x32 latent representation using the same VAE as that employed by Stable Diffusion\n\nDecoding"
] | [
6,
61
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"latent_afhqv2_256px\"\n\nEach image is cropped to 256px square and encoded to a 4x32x32 latent representation using the same VAE as that employed by Stable Diffusion\n\nDecoding"
] |
39c63d396a8b291a2387b8499c84e7a3c4f3f451 |
# Dataset Card for [naacl2022]
## 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-struc... | havens2/naacl2022 | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"annotations_creators:expert-generated",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"license:afl-3.0",
"acl",
"sciBERT",
"sc... | 2022-10-28T08:38:15+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["afl-3.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognition"], "... | 2022-10-28T10:37:16+00:00 | [] | [
"en"
] | TAGS
#task_categories-token-classification #task_ids-named-entity-recognition #annotations_creators-expert-generated #language_creators-crowdsourced #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-afl-3.0 #acl #sciBERT #sci #11711 #region-us
|
# Dataset Card for [naacl2022]
## 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
- Pers... | [
"# Dataset Card for [naacl2022]",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n -... | [
"TAGS\n#task_categories-token-classification #task_ids-named-entity-recognition #annotations_creators-expert-generated #language_creators-crowdsourced #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-afl-3.0 #acl #sciBERT #sci #11711 #region-us \n",
"# Da... | [
109,
11,
125,
24,
38,
14,
5,
6,
148,
220,
11,
5,
7,
4,
10,
10,
5,
32,
26,
8,
8,
7,
8,
7,
5,
6,
6,
24
] | [
"passage: TAGS\n#task_categories-token-classification #task_ids-named-entity-recognition #annotations_creators-expert-generated #language_creators-crowdsourced #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-afl-3.0 #acl #sciBERT #sci #11711 #region-us \n#... |
eac45f711beabc481045075e3066be32ed55dc8e | # Dataset Card for "latent_afhqv2_512px"
Each image is cropped to 512px square and encoded to a 4x64x64 latent representation using the same VAE as that employed by Stable Diffusion
Decoding
```python
from diffusers import AutoencoderKL
from datasets import load_dataset
from PIL import Image
import numpy as np
import... | tglcourse/latent_afhqv2_512px | [
"region:us"
] | 2022-10-28T09:21:26+00:00 | {"dataset_info": {"features": [{"name": "label", "dtype": {"class_label": {"names": {"0": "cat", "1": "dog", "2": "wild"}}}}, {"name": "latent", "sequence": {"sequence": {"sequence": "float32"}}}], "splits": [{"name": "train", "num_bytes": 1052290164, "num_examples": 15803}], "download_size": 1038619876, "dataset_size"... | 2022-10-28T10:52:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "latent_afhqv2_512px"
Each image is cropped to 512px square and encoded to a 4x64x64 latent representation using the same VAE as that employed by Stable Diffusion
Decoding
| [
"# Dataset Card for \"latent_afhqv2_512px\"\n\nEach image is cropped to 512px square and encoded to a 4x64x64 latent representation using the same VAE as that employed by Stable Diffusion\n\nDecoding"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"latent_afhqv2_512px\"\n\nEach image is cropped to 512px square and encoded to a 4x64x64 latent representation using the same VAE as that employed by Stable Diffusion\n\nDecoding"
] | [
6,
62
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"latent_afhqv2_512px\"\n\nEach image is cropped to 512px square and encoded to a 4x64x64 latent representation using the same VAE as that employed by Stable Diffusion\n\nDecoding"
] |
c5c8ed58a7134ad219a2ac61ed44427db1d26d23 |
# UD_Spanish-AnCora
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- ... | PlanTL-GOB-ES/UD_Spanish-AnCora | [
"task_categories:token-classification",
"task_ids:part-of-speech",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"language:es",
"license:cc-by-4.0",
"region:us"
] | 2022-10-28T09:30:03+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["es"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": [], "source_datasets": [], "task_categories": ["token-classification"], "task_ids": ["part-of-speech"], "pretty_name": "UD_Spanish-AnCora", ... | 2022-11-17T12:07:35+00:00 | [] | [
"es"
] | TAGS
#task_categories-token-classification #task_ids-part-of-speech #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #language-Spanish #license-cc-by-4.0 #region-us
|
# UD_Spanish-AnCora
## 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
- Personal and S... | [
"# UD_Spanish-AnCora",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotation... | [
"TAGS\n#task_categories-token-classification #task_ids-part-of-speech #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #language-Spanish #license-cc-by-4.0 #region-us \n",
"# UD_Spanish-AnCora",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Da... | [
73,
9,
125,
15,
56,
13,
17,
6,
107,
251,
26,
5,
12,
12,
115,
30,
5,
24,
28,
15,
8,
21,
13,
12,
5,
11,
214,
10
] | [
"passage: TAGS\n#task_categories-token-classification #task_ids-part-of-speech #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #language-Spanish #license-cc-by-4.0 #region-us \n# UD_Spanish-AnCora## Table of Contents\n- Table of Contents\n- Dataset Description\n - Datas... |
51b89189df9e9a8f048f53c0e354767fd6a500f6 |
# CoNLL-NERC-es
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Dat... | PlanTL-GOB-ES/CoNLL-NERC-es | [
"task_categories:token-classification",
"task_ids:part-of-speech",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"language:es",
"region:us"
] | 2022-10-28T09:42:01+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["es"], "multilinguality": ["monolingual"], "size_categories": [], "source_datasets": [], "task_categories": ["token-classification"], "task_ids": ["part-of-speech"], "pretty_name": "CoNLL-NERC-es", "tags": []} | 2022-11-18T11:55:41+00:00 | [] | [
"es"
] | TAGS
#task_categories-token-classification #task_ids-part-of-speech #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #language-Spanish #region-us
|
# CoNLL-NERC-es
## 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
- Personal and Sensi... | [
"# CoNLL-NERC-es",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotations\n ... | [
"TAGS\n#task_categories-token-classification #task_ids-part-of-speech #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #language-Spanish #region-us \n",
"# CoNLL-NERC-es",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supp... | [
64,
9,
125,
16,
151,
20,
17,
6,
171,
49,
34,
5,
12,
30,
35,
35,
5,
30,
102,
13,
8,
21,
13,
12,
5,
6,
74,
10
] | [
"passage: TAGS\n#task_categories-token-classification #task_ids-part-of-speech #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #language-Spanish #region-us \n# CoNLL-NERC-es## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Support... |
8ebccbfbb024e9f07a36c44ca2ddea0165d2c261 | # Dataset Card for "latent_lsun_church_128px"
Each image is cropped to 128px square and encoded to a 4x16x16 latent representation using the same VAE as that employed by Stable Diffusion
Decoding
```python
from diffusers import AutoencoderKL
from datasets import load_dataset
from PIL import Image
import numpy as np
i... | tglcourse/latent_lsun_church_128px | [
"region:us"
] | 2022-10-28T09:48:21+00:00 | {"dataset_info": {"features": [{"name": "label", "dtype": {"class_label": {"names": {"0": "0", "1": "1", "2": "2", "3": "3", "4": "4", "5": "5", "6": "6", "7": "7", "8": "8", "9": "9", "10": "a", "11": "b", "12": "c", "13": "d", "14": "e", "15": "f"}}}}, {"name": "latent", "sequence": {"sequence": {"sequence": "float32... | 2022-10-28T10:50:20+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "latent_lsun_church_128px"
Each image is cropped to 128px square and encoded to a 4x16x16 latent representation using the same VAE as that employed by Stable Diffusion
Decoding
| [
"# Dataset Card for \"latent_lsun_church_128px\"\n\nEach image is cropped to 128px square and encoded to a 4x16x16 latent representation using the same VAE as that employed by Stable Diffusion\n\nDecoding"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"latent_lsun_church_128px\"\n\nEach image is cropped to 128px square and encoded to a 4x16x16 latent representation using the same VAE as that employed by Stable Diffusion\n\nDecoding"
] | [
6,
62
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"latent_lsun_church_128px\"\n\nEach image is cropped to 128px square and encoded to a 4x16x16 latent representation using the same VAE as that employed by Stable Diffusion\n\nDecoding"
] |
307d2b5f10d43d92df35bc38dd08d6b2551e85f2 | # AfroLM: A Self-Active Learning-based Multilingual Pretrained Language Model for 23 African Languages
- [GitHub Repository of the Paper](https://github.com/bonaventuredossou/MLM_AL)
This repository contains the dataset for our paper [`AfroLM: A Self-Active Learning-based Multilingual Pretrained Language Model for 23 ... | bonadossou/afrolm_active_learning_dataset | [
"task_categories:fill-mask",
"task_ids:masked-language-modeling",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:original",
"language:amh",
"language:orm",
"language:lin",
"language:hau",
"langu... | 2022-10-28T10:07:51+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["amh", "orm", "lin", "hau", "ibo", "kin", "lug", "luo", "pcm", "swa", "wol", "yor", "bam", "bbj", "ewe", "fon", "mos", "nya", "sna", "tsn", "twi", "xho", "zul"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "... | 2023-03-29T17:10:21+00:00 | [
"2211.03263"
] | [
"amh",
"orm",
"lin",
"hau",
"ibo",
"kin",
"lug",
"luo",
"pcm",
"swa",
"wol",
"yor",
"bam",
"bbj",
"ewe",
"fon",
"mos",
"nya",
"sna",
"tsn",
"twi",
"xho",
"zul"
] | TAGS
#task_categories-fill-mask #task_ids-masked-language-modeling #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-1M<n<10M #source_datasets-original #language-Amharic #language-Oromo #language-Lingala #language-Hausa #language-Igbo #language-Kinyarwanda ... | AfroLM: A Self-Active Learning-based Multilingual Pretrained Language Model for 23 African Languages
====================================================================================================
* GitHub Repository of the Paper
This repository contains the dataset for our paper 'AfroLM: A Self-Active Learnin... | [] | [
"TAGS\n#task_categories-fill-mask #task_ids-masked-language-modeling #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-1M<n<10M #source_datasets-original #language-Amharic #language-Oromo #language-Lingala #language-Hausa #language-Igbo #language-Kinyar... | [
269
] | [
"passage: TAGS\n#task_categories-fill-mask #task_ids-masked-language-modeling #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-1M<n<10M #source_datasets-original #language-Amharic #language-Oromo #language-Lingala #language-Hausa #language-Igbo #langua... |
e986b088ae469d2ba32caba321dbf911902ec8b7 |
# MLDoc
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instan... | PlanTL-GOB-ES/MLDoc | [
"task_categories:text-classification",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:multilingual",
"language:es",
"license:cc-by-nc-4.0",
"region:us"
] | 2022-10-28T10:35:05+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["es"], "license": "cc-by-nc-4.0", "multilinguality": ["multilingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-classification"], "task_ids": [], "pretty_name": "MLDoc", "tags": []} | 2022-11-03T09:24:03+00:00 | [] | [
"es"
] | TAGS
#task_categories-text-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-multilingual #language-Spanish #license-cc-by-nc-4.0 #region-us
|
# MLDoc
## 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
- Personal and Sensitive Inf... | [
"# MLDoc",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotations\n - Perso... | [
"TAGS\n#task_categories-text-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-multilingual #language-Spanish #license-cc-by-nc-4.0 #region-us \n",
"# MLDoc",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks... | [
62,
4,
125,
8,
153,
13,
25,
6,
246,
43,
24,
5,
12,
106,
25,
25,
5,
27,
31,
13,
8,
21,
13,
12,
5,
11,
140
] | [
"passage: TAGS\n#task_categories-text-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-multilingual #language-Spanish #license-cc-by-nc-4.0 #region-us \n# MLDoc## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks an... |
9a1c7f132e7b9066c18722c97c7dbf06b85012de | # Dataset Card for "latent_celebA_256px"
Each image is cropped to 256px square and encoded to a 4x32x32 latent representation using the same VAE as that employed by Stable Diffusion
Decoding
```python
from diffusers import AutoencoderKL
from datasets import load_dataset
from PIL import Image
import numpy as np
import... | tglcourse/latent_celebA_256px | [
"region:us"
] | 2022-10-28T10:45:46+00:00 | {"dataset_info": {"features": [{"name": "latent", "sequence": {"sequence": {"sequence": "float32"}}}], "splits": [{"name": "train", "num_bytes": 3427164684, "num_examples": 202599}], "download_size": 3338993120, "dataset_size": 3427164684}} | 2022-10-28T10:49:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "latent_celebA_256px"
Each image is cropped to 256px square and encoded to a 4x32x32 latent representation using the same VAE as that employed by Stable Diffusion
Decoding
| [
"# Dataset Card for \"latent_celebA_256px\"\n\nEach image is cropped to 256px square and encoded to a 4x32x32 latent representation using the same VAE as that employed by Stable Diffusion\n\nDecoding"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"latent_celebA_256px\"\n\nEach image is cropped to 256px square and encoded to a 4x32x32 latent representation using the same VAE as that employed by Stable Diffusion\n\nDecoding"
] | [
6,
59
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"latent_celebA_256px\"\n\nEach image is cropped to 256px square and encoded to a 4x32x32 latent representation using the same VAE as that employed by Stable Diffusion\n\nDecoding"
] |
9f23ec8ffc93cae32ae3c203ffa6d6610bbbd6c8 |
# Dataset Card for mt_en_it
## Table of Contents
- [Dataset Card for mt_en_it](#dataset-card-for-mt-en-it)
- [Table of Contents](#table-of-contents)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data ... | efederici/mt_nap_it | [
"task_categories:translation",
"size_categories:unknown",
"language:it",
"license:unknown",
"conditional-text-generation",
"region:us"
] | 2022-10-28T10:51:09+00:00 | {"language": ["it"], "license": ["unknown"], "size_categories": ["unknown"], "task_categories": ["translation"], "task_ids": [], "pretty_name": "mt_nap_it", "tags": ["conditional-text-generation"]} | 2022-10-28T13:32:26+00:00 | [] | [
"it"
] | TAGS
#task_categories-translation #size_categories-unknown #language-Italian #license-unknown #conditional-text-generation #region-us
|
# Dataset Card for mt_en_it
## Table of Contents
- Dataset Card for mt_en_it
- Table of Contents
- Dataset Summary
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Dataset Creation
### Dataset Summary
This dataset comprises traditional Neapolitan songs from napoligrafia transla... | [
"# Dataset Card for mt_en_it",
"## Table of Contents\n\n- Dataset Card for mt_en_it\n - Table of Contents\n - Dataset Summary\n - Languages\n - Dataset Structure\n - Data Instances\n - Data Fields\n - Dataset Creation",
"### Dataset Summary\nThis dataset comprises traditional Neapolitan songs fro... | [
"TAGS\n#task_categories-translation #size_categories-unknown #language-Italian #license-unknown #conditional-text-generation #region-us \n",
"# Dataset Card for mt_en_it",
"## Table of Contents\n\n- Dataset Card for mt_en_it\n - Table of Contents\n - Dataset Summary\n - Languages\n - Dataset Structure\n ... | [
44,
11,
49,
28,
13,
27,
35,
20
] | [
"passage: TAGS\n#task_categories-translation #size_categories-unknown #language-Italian #license-unknown #conditional-text-generation #region-us \n# Dataset Card for mt_en_it## Table of Contents\n\n- Dataset Card for mt_en_it\n - Table of Contents\n - Dataset Summary\n - Languages\n - Dataset Structure\n -... |
30b32ca54b7c38130a1bcbf0b5f534904af9971f | <h4> Disclosure </h4>
<p> While its not perfect i hope that you are able to create some nice pictures, i am working on improving for the next embedding coming soon, if you have any suggestions or issues please let me know </p>
<h4> Usage </h4>
To use this embedding you have to download the file and put it into the "... | zZWipeoutZz/spectral_wind | [
"license:creativeml-openrail-m",
"region:us"
] | 2022-10-28T10:52:24+00:00 | {"license": "creativeml-openrail-m"} | 2022-10-28T13:53:12+00:00 | [] | [] | TAGS
#license-creativeml-openrail-m #region-us
| #### Disclosure
While its not perfect i hope that you are able to create some nice pictures, i am working on improving for the next embedding coming soon, if you have any suggestions or issues please let me know
#### Usage
To use this embedding you have to download the file and put it into the "\stable-diffus... | [
"#### Disclosure\n\n\n While its not perfect i hope that you are able to create some nice pictures, i am working on improving for the next embedding coming soon, if you have any suggestions or issues please let me know",
"#### Usage\n\n\nTo use this embedding you have to download the file and put it into the \"... | [
"TAGS\n#license-creativeml-openrail-m #region-us \n",
"#### Disclosure\n\n\n While its not perfect i hope that you are able to create some nice pictures, i am working on improving for the next embedding coming soon, if you have any suggestions or issues please let me know",
"#### Usage\n\n\nTo use this embedd... | [
18,
45,
66,
67,
5,
241
] | [
"passage: TAGS\n#license-creativeml-openrail-m #region-us \n#### Disclosure\n\n\n While its not perfect i hope that you are able to create some nice pictures, i am working on improving for the next embedding coming soon, if you have any suggestions or issues please let me know#### Usage\n\n\nTo use this embedding... |
422fa1b362f44da776232e5c6d79ef0e9d9d665e | # Media Dataset for IRAN Protests
Following recent protests in Iran corresponding to [__Mahsa Amini__](https://en.wikipedia.org/wiki/Death_of_Mahsa_Amini)'s death, her name has been a trend on social media like Twitter( [#MahsaAmini](https://twitter.com/search?q=%23MahsaAmini) , [#مهسا_امینی](https://twitter.com/searc... | MahdiA/Iran-protests-media | [
"license:apache-2.0",
"region:us"
] | 2022-10-28T13:08:37+00:00 | {"license": "apache-2.0"} | 2022-10-28T13:59:06+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| # Media Dataset for IRAN Protests
Following recent protests in Iran corresponding to __Mahsa Amini__'s death, her name has been a trend on social media like Twitter( #MahsaAmini , #مهسا_امینی).
Untile Octore 15, 2022, there have been 300+ million tweets on Twitter and among them, there are many posts including media f... | [
"# Media Dataset for IRAN Protests\n\nFollowing recent protests in Iran corresponding to __Mahsa Amini__'s death, her name has been a trend on social media like Twitter( #MahsaAmini , #مهسا_امینی).\nUntile Octore 15, 2022, there have been 300+ million tweets on Twitter and among them, there are many posts including... | [
"TAGS\n#license-apache-2.0 #region-us \n",
"# Media Dataset for IRAN Protests\n\nFollowing recent protests in Iran corresponding to __Mahsa Amini__'s death, her name has been a trend on social media like Twitter( #MahsaAmini , #مهسا_امینی).\nUntile Octore 15, 2022, there have been 300+ million tweets on Twitter a... | [
14,
157,
47,
63
] | [
"passage: TAGS\n#license-apache-2.0 #region-us \n# Media Dataset for IRAN Protests\n\nFollowing recent protests in Iran corresponding to __Mahsa Amini__'s death, her name has been a trend on social media like Twitter( #MahsaAmini , #مهسا_امینی).\nUntile Octore 15, 2022, there have been 300+ million tweets on Twitte... |
91ca4a0e810217bb1ac2e440805ccb3514bf2637 | # 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: inverse-scaling/opt-1.3b_eval
* Dataset: mathemakitten/winobias_antistereotype_test_cot_v1
* C... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_cot_v1-math-1bbcaf-1917164990 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-28T13:22:43+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["mathemakitten/winobias_antistereotype_test_cot_v1"], "eval_info": {"task": "text_zero_shot_classification", "model": "inverse-scaling/opt-1.3b_eval", "metrics": [], "dataset_name": "mathemakitten/winobias_antistereotype_test_cot_v1", "dataset_co... | 2022-10-28T13:26:30+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: Zero-Shot Text Classification
* Model: inverse-scaling/opt-1.3b_eval
* Dataset: mathemakitten/winobias_antistereotype_test_cot_v1
* Config: mathemakitten--winobias_antis... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-1.3b_eval\n* Dataset: mathemakitten/winobias_antistereotype_test_cot_v1\n* Config: mathemakitten--wi... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-1.3b_eval\n* Dataset: mathemakitten/winobias_antiste... | [
13,
131,
17
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-1.3b_eval\n* Dataset: mathemakitten/winobias_anti... |
08173c5722c09727379f8ec5f538618236827272 | # 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: inverse-scaling/opt-2.7b_eval
* Dataset: mathemakitten/winobias_antistereotype_test_cot_v1
* C... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_cot_v1-math-1bbcaf-1917164991 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-28T13:22:44+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["mathemakitten/winobias_antistereotype_test_cot_v1"], "eval_info": {"task": "text_zero_shot_classification", "model": "inverse-scaling/opt-2.7b_eval", "metrics": [], "dataset_name": "mathemakitten/winobias_antistereotype_test_cot_v1", "dataset_co... | 2022-10-28T13:28:19+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: Zero-Shot Text Classification
* Model: inverse-scaling/opt-2.7b_eval
* Dataset: mathemakitten/winobias_antistereotype_test_cot_v1
* Config: mathemakitten--winobias_antis... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-2.7b_eval\n* Dataset: mathemakitten/winobias_antistereotype_test_cot_v1\n* Config: mathemakitten--wi... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-2.7b_eval\n* Dataset: mathemakitten/winobias_antiste... | [
13,
132,
17
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-2.7b_eval\n* Dataset: mathemakitten/winobias_anti... |
4a74d8864b2f0617d0e7e1e09d6e294c709b339d | # 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: inverse-scaling/opt-13b_eval
* Dataset: mathemakitten/winobias_antistereotype_test_cot_v1
* Co... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_cot_v1-math-1bbcaf-1917164992 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-28T13:22:46+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["mathemakitten/winobias_antistereotype_test_cot_v1"], "eval_info": {"task": "text_zero_shot_classification", "model": "inverse-scaling/opt-13b_eval", "metrics": [], "dataset_name": "mathemakitten/winobias_antistereotype_test_cot_v1", "dataset_con... | 2022-10-28T13:50:20+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: Zero-Shot Text Classification
* Model: inverse-scaling/opt-13b_eval
* Dataset: mathemakitten/winobias_antistereotype_test_cot_v1
* Config: mathemakitten--winobias_antist... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-13b_eval\n* Dataset: mathemakitten/winobias_antistereotype_test_cot_v1\n* Config: mathemakitten--win... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-13b_eval\n* Dataset: mathemakitten/winobias_antister... | [
13,
130,
17
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-13b_eval\n* Dataset: mathemakitten/winobias_antis... |
7e9dcff44427e84a55e4f4f44223e979ff5eac19 |
# Maccha style embedding
## Samples
<img alt="Samples" src="https://huggingface.co/datasets/DJSoft/maccha_artist_style/resolve/main/samples.jpg" style="max-height: 80vh"/>
<img alt="Comparsion" src="https://huggingface.co/datasets/DJSoft/maccha_artist_style/resolve/main/steps.png" style="max-height: 80vh"/>
## Abou... | DJSoft/maccha_artist_style | [
"license:creativeml-openrail-m",
"region:us"
] | 2022-10-28T14:06:19+00:00 | {"license": "creativeml-openrail-m"} | 2022-11-27T16:00:22+00:00 | [] | [] | TAGS
#license-creativeml-openrail-m #region-us
|
# Maccha style embedding
## Samples
<img alt="Samples" src="URL style="max-height: 80vh"/>
<img alt="Comparsion" src="URL style="max-height: 80vh"/>
## About
Use this Stable Diffusion embedding to achieve style of Matcha_ / maccha_(mochancc) Pixiv
## Usage
To use this embedding you have to download the file and ... | [
"# Maccha style embedding",
"## Samples\n\n<img alt=\"Samples\" src=\"URL style=\"max-height: 80vh\"/>\n<img alt=\"Comparsion\" src=\"URL style=\"max-height: 80vh\"/>",
"## About\n\nUse this Stable Diffusion embedding to achieve style of Matcha_ / maccha_(mochancc) Pixiv",
"## Usage\n\nTo use this embedding y... | [
"TAGS\n#license-creativeml-openrail-m #region-us \n",
"# Maccha style embedding",
"## Samples\n\n<img alt=\"Samples\" src=\"URL style=\"max-height: 80vh\"/>\n<img alt=\"Comparsion\" src=\"URL style=\"max-height: 80vh\"/>",
"## About\n\nUse this Stable Diffusion embedding to achieve style of Matcha_ / maccha_(... | [
18,
7,
54,
30,
64,
31,
185
] | [
"passage: TAGS\n#license-creativeml-openrail-m #region-us \n# Maccha style embedding## Samples\n\n<img alt=\"Samples\" src=\"URL style=\"max-height: 80vh\"/>\n<img alt=\"Comparsion\" src=\"URL style=\"max-height: 80vh\"/>## About\n\nUse this Stable Diffusion embedding to achieve style of Matcha_ / maccha_(mochancc)... |
8834a2b0cd1b4c82e9d6fb5c5ba80d9c2c916a13 |
# Yuki Miku 2017 embedding
## Samples
<img alt="Samples" src="https://huggingface.co/datasets/DJSoft/yuki_miku_2017_outfit/resolve/main/samples.jpg" style="max-height: 80vh"/>
<img alt="Comparsion" src="https://huggingface.co/datasets/DJSoft/yuki_miku_2017_outfit/resolve/main/steps.png" style="max-height: 80vh"/>
#... | DJSoft/yuki_miku_2017_outfit | [
"license:creativeml-openrail-m",
"region:us"
] | 2022-10-28T14:43:14+00:00 | {"license": "creativeml-openrail-m"} | 2022-11-27T15:43:43+00:00 | [] | [] | TAGS
#license-creativeml-openrail-m #region-us
|
# Yuki Miku 2017 embedding
## Samples
<img alt="Samples" src="URL style="max-height: 80vh"/>
<img alt="Comparsion" src="URL style="max-height: 80vh"/>
## About
Use this Stable Diffusion embedding to achieve the Hatsune Miku Yuki Style 2017 outfit
## Usage
To use this embedding you have to download the file and p... | [
"# Yuki Miku 2017 embedding",
"## Samples\n\n<img alt=\"Samples\" src=\"URL style=\"max-height: 80vh\"/>\n<img alt=\"Comparsion\" src=\"URL style=\"max-height: 80vh\"/>",
"## About\n\nUse this Stable Diffusion embedding to achieve the Hatsune Miku Yuki Style 2017 outfit",
"## Usage\n\nTo use this embedding yo... | [
"TAGS\n#license-creativeml-openrail-m #region-us \n",
"# Yuki Miku 2017 embedding",
"## Samples\n\n<img alt=\"Samples\" src=\"URL style=\"max-height: 80vh\"/>\n<img alt=\"Comparsion\" src=\"URL style=\"max-height: 80vh\"/>",
"## About\n\nUse this Stable Diffusion embedding to achieve the Hatsune Miku Yuki Sty... | [
18,
9,
54,
25,
67,
52,
185
] | [
"passage: TAGS\n#license-creativeml-openrail-m #region-us \n# Yuki Miku 2017 embedding## Samples\n\n<img alt=\"Samples\" src=\"URL style=\"max-height: 80vh\"/>\n<img alt=\"Comparsion\" src=\"URL style=\"max-height: 80vh\"/>## About\n\nUse this Stable Diffusion embedding to achieve the Hatsune Miku Yuki Style 2017 o... |
115a522e89601c99a3ee2b4f9622b8df0a19639f | # Dataset Card for "focus_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | kanak8278/focus_test | [
"region:us"
] | 2022-10-28T17:42:49+00:00 | {"dataset_info": {"features": [{"name": "dialogID", "dtype": "string"}, {"name": "utterance", "dtype": "int64"}, {"name": "query", "dtype": "string"}, {"name": "hit_knowledge", "dtype": "string"}, {"name": "ground_knowledge", "dtype": "string"}, {"name": "ground_persona", "dtype": "string"}, {"name": "similarity_score"... | 2022-10-28T17:42:53+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "focus_test"
More Information needed | [
"# Dataset Card for \"focus_test\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"focus_test\"\n\nMore Information needed"
] | [
6,
14
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"focus_test\"\n\nMore Information needed"
] |
84f973e948620e38b0c7e9fa880c20ab0eeede0a |
# Dataset Card for GLUE
## Table of Contents
- [Dataset Card for GLUE](#dataset-card-for-glue)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [ax](... | severo/glue | [
"task_categories:text-classification",
"task_ids:acceptability-classification",
"task_ids:natural-language-inference",
"task_ids:semantic-similarity-scoring",
"task_ids:sentiment-classification",
"task_ids:text-scoring",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monol... | 2022-10-28T20:00:14+00:00 | {"annotations_creators": ["other"], "language_creators": ["other"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["acceptability-classification", "natural-lang... | 2022-10-28T15:35:04+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #task_ids-acceptability-classification #task_ids-natural-language-inference #task_ids-semantic-similarity-scoring #task_ids-sentiment-classification #task_ids-text-scoring #annotations_creators-other #language_creators-other #multilinguality-monolingual #size_categories-10K<n<1... | Dataset Card for GLUE
=====================
Table of Contents
-----------------
* Dataset Card for GLUE
+ Table of Contents
+ Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
* ax
* cola
* mnli
* mnli\_matched
* mnli\_mismatched
* mrpc
* qnli
* qqp
* rte
*... | [
"### Dataset Summary\n\n\nGLUE, the General Language Understanding Evaluation benchmark (URL is a collection of resources for training, evaluating, and analyzing natural language understanding systems.",
"### Supported Tasks and Leaderboards\n\n\nThe leaderboard for the GLUE benchmark can be found at this address... | [
"TAGS\n#task_categories-text-classification #task_ids-acceptability-classification #task_ids-natural-language-inference #task_ids-semantic-similarity-scoring #task_ids-sentiment-classification #task_ids-text-scoring #annotations_creators-other #language_creators-other #multilinguality-monolingual #size_categories-1... | [
153,
39,
33,
71,
54,
185,
38,
40,
55,
183,
48,
153,
65,
67,
324,
28,
6,
50,
50,
55,
57,
58,
4,
5,
5,
4,
5,
5,
5,
17,
76,
55,
77,
81,
82,
4,
5,
5,
4,
5,
5,
5,
5,
4,
3,
5,
9,
10,
4,
5,
5,
4,
5,
5,
11,
7,
4,... | [
"passage: TAGS\n#task_categories-text-classification #task_ids-acceptability-classification #task_ids-natural-language-inference #task_ids-semantic-similarity-scoring #task_ids-sentiment-classification #task_ids-text-scoring #annotations_creators-other #language_creators-other #multilinguality-monolingual #size_cat... |
8c8403a9c0cb6a7c50d305d661bb06f8f1eac2d5 | # Dataset Card for "Romance-cleaned-3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | MarkGG/Romance-cleaned-3 | [
"region:us"
] | 2022-10-29T05:03:19+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3369959.5092553934, "num_examples": 6466}, {"name": "validation", "num_bytes": 374729.4907446068, "num_examples": 719}], "download_size": 2300275, "dataset_size": 3744689.0}} | 2022-10-29T05:03:39+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Romance-cleaned-3"
More Information needed | [
"# Dataset Card for \"Romance-cleaned-3\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Romance-cleaned-3\"\n\nMore Information needed"
] | [
6,
17
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"Romance-cleaned-3\"\n\nMore Information needed"
] |
8b2557a673e0e0d687c1484a7e197d3f8c43c699 |
# Dataset Card for Pokémon BLIP captions with English and Japanese.
Dataset used to train Pokémon text to image model, add a Japanese Column of [Pokémon BLIP captions](https://huggingface.co/datasets/lambdalabs/pokemon-blip-captions)
BLIP generated captions for Pokémon images from Few Shot Pokémon dataset introduced... | svjack/pokemon-blip-captions-en-ja | [
"task_categories:text-to-image",
"annotations_creators:machine-generated",
"language_creators:other",
"multilinguality:multilingual",
"size_categories:n<1K",
"source_datasets:huggan/few-shot-pokemon",
"language:en",
"language:ja",
"license:cc-by-nc-sa-4.0",
"region:us"
] | 2022-10-29T06:26:57+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["other"], "language": ["en", "ja"], "license": "cc-by-nc-sa-4.0", "multilinguality": ["multilingual"], "size_categories": ["n<1K"], "source_datasets": ["huggan/few-shot-pokemon"], "task_categories": ["text-to-image"], "task_ids": [], "pretty_name": "... | 2022-10-31T06:22:04+00:00 | [] | [
"en",
"ja"
] | TAGS
#task_categories-text-to-image #annotations_creators-machine-generated #language_creators-other #multilinguality-multilingual #size_categories-n<1K #source_datasets-huggan/few-shot-pokemon #language-English #language-Japanese #license-cc-by-nc-sa-4.0 #region-us
|
# Dataset Card for Pokémon BLIP captions with English and Japanese.
Dataset used to train Pokémon text to image model, add a Japanese Column of Pokémon BLIP captions
BLIP generated captions for Pokémon images from Few Shot Pokémon dataset introduced by Towards Faster and Stabilized GAN Training for High-fidelity Few... | [
"# Dataset Card for Pokémon BLIP captions with English and Japanese.\n\nDataset used to train Pokémon text to image model, add a Japanese Column of Pokémon BLIP captions\n\nBLIP generated captions for Pokémon images from Few Shot Pokémon dataset introduced by Towards Faster and Stabilized GAN Training for High-fide... | [
"TAGS\n#task_categories-text-to-image #annotations_creators-machine-generated #language_creators-other #multilinguality-multilingual #size_categories-n<1K #source_datasets-huggan/few-shot-pokemon #language-English #language-Japanese #license-cc-by-nc-sa-4.0 #region-us \n",
"# Dataset Card for Pokémon BLIP caption... | [
97,
182
] | [
"passage: TAGS\n#task_categories-text-to-image #annotations_creators-machine-generated #language_creators-other #multilinguality-multilingual #size_categories-n<1K #source_datasets-huggan/few-shot-pokemon #language-English #language-Japanese #license-cc-by-nc-sa-4.0 #region-us \n# Dataset Card for Pokémon BLIP capt... |
473ce373f77f53101b124af68bc5d81ef8f8ef48 | ---
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... | duyngtr16061999/fashion_text_to_image | [
"region:us"
] | 2022-10-29T07:50:41+00:00 | {} | 2022-11-21T05:54:22+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]
## Table of Contents
- Table ... | [
"# Dataset Card for [Dataset Name]",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n... | [
"TAGS\n#region-us \n",
"# Dataset Card for [Dataset Name]",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rat... | [
6,
10,
125,
24,
6,
10,
4,
6,
6,
5,
5,
5,
7,
4,
10,
10,
5,
5,
9,
8,
8,
7,
8,
7,
5,
6,
6,
19
] | [
"passage: TAGS\n#region-us \n# Dataset Card for [Dataset Name]## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Ration... |
7f5566dbfedcb5db78e493a0bdf04b410ec769fe |
# Sam Yang 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 sam_yang"```
If it is to strong just add [] around it.
Trained until 5000 steps
Have fun :)
## Ex... | Nerfgun3/sam_yang | [
"language:en",
"license:creativeml-openrail-m",
"stable-diffusion",
"text-to-image",
"region:us"
] | 2022-10-29T10:24:38+00:00 | {"language": ["en"], "license": "creativeml-openrail-m", "tags": ["stable-diffusion", "text-to-image"], "inference": false} | 2022-10-29T10:26:45+00:00 | [] | [
"en"
] | TAGS
#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #region-us
| Sam Yang 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 5000... | [] | [
"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"
] |
9cf098c4cfce7ab970110f983f16773087f13830 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: patrickvonplaten/bert2bert_cnn_daily_mail
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: test
To run new e... | autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-98a820-1924665124 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-29T13:24:53+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["cnn_dailymail"], "eval_info": {"task": "summarization", "model": "patrickvonplaten/bert2bert_cnn_daily_mail", "metrics": ["accuracy", "bleu"], "dataset_name": "cnn_dailymail", "dataset_config": "3.0.0", "dataset_split": "test", "col_mapping": {"... | 2022-10-29T14:11:10+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: Summarization
* Model: patrickvonplaten/bert2bert_cnn_daily_mail
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: test
To run new evaluation jobs, visit Hugging Face's... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: patrickvonplaten/bert2bert_cnn_daily_mail\n* Dataset: cnn_dailymail\n* Config: 3.0.0\n* Split: test\n\nTo run new evaluation jobs, visit... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: patrickvonplaten/bert2bert_cnn_daily_mail\n* Dataset: cnn_dailymail\n* Config: 3.0.0\n* ... | [
13,
95,
16
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: patrickvonplaten/bert2bert_cnn_daily_mail\n* Dataset: cnn_dailymail\n* Config: 3.0.0\... |
55c6aa8cf6594b07167e47488ae303b84f4daf38 | <h4> Disclosure </h4>
<p> I hope that you are able to create some nice pictures,, if you have any embedding suggestions or issues please let me know </p>
<h4> Usage </h4>
To use this embedding you have to download the file and put it into the "\stable-diffusion-webui\embeddings" folder
To use it in a prompt add
<em... | zZWipeoutZz/insane_style | [
"license:creativeml-openrail-m",
"region:us"
] | 2022-10-29T15:14:08+00:00 | {"license": "creativeml-openrail-m"} | 2022-10-29T15:31:20+00:00 | [] | [] | TAGS
#license-creativeml-openrail-m #region-us
| #### Disclosure
I hope that you are able to create some nice pictures,, if you have any embedding suggestions or issues please let me know
#### Usage
To use this embedding you have to download the file and put it into the "\stable-diffusion-webui\embeddings" folder
To use it in a prompt add
*art by insane\_st... | [
"#### Disclosure\n\n\n I hope that you are able to create some nice pictures,, if you have any embedding suggestions or issues please let me know",
"#### Usage\n\n\nTo use this embedding you have to download the file and put it into the \"\\stable-diffusion-webui\\embeddings\" folder\nTo use it in a prompt add\... | [
"TAGS\n#license-creativeml-openrail-m #region-us \n",
"#### Disclosure\n\n\n I hope that you are able to create some nice pictures,, if you have any embedding suggestions or issues please let me know",
"#### Usage\n\n\nTo use this embedding you have to download the file and put it into the \"\\stable-diffusio... | [
18,
31,
66,
66,
5,
44
] | [
"passage: TAGS\n#license-creativeml-openrail-m #region-us \n#### Disclosure\n\n\n I hope that you are able to create some nice pictures,, if you have any embedding suggestions or issues please let me know#### Usage\n\n\nTo use this embedding you have to download the file and put it into the \"\\stable-diffusion-w... |
22ffd55109e12e1b82003a93e40fee0298e985a3 |
# Dataset Card for Sketch Scene Descriptions
_Dataset used to train [Sketch Scene text to image model]()_
We advance sketch research to scenes with the first dataset of freehand scene sketches, FS-COCO. With practical applications in mind, we collect sketches that convey well scene content but can be sketched within... | zoheb/sketch-scene | [
"task_categories:text-to-image",
"language_creators:machine-generated",
"multilinguality:monolingual",
"size_categories:n<10K",
"source_datasets:FS-COCO",
"language:en",
"license:cc-by-nc-sa-4.0",
"region:us"
] | 2022-10-29T17:15:58+00:00 | {"language_creators": ["machine-generated"], "language": ["en"], "license": "cc-by-nc-sa-4.0", "multilinguality": ["monolingual"], "size_categories": ["n<10K"], "source_datasets": ["FS-COCO"], "task_categories": ["text-to-image"], "task_ids": [], "pretty_name": "Sketch Scene Descriptions", "tags": []} | 2022-10-30T10:07:48+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-to-image #language_creators-machine-generated #multilinguality-monolingual #size_categories-n<10K #source_datasets-FS-COCO #language-English #license-cc-by-nc-sa-4.0 #region-us
|
# Dataset Card for Sketch Scene Descriptions
_Dataset used to train [Sketch Scene text to image model]()_
We advance sketch research to scenes with the first dataset of freehand scene sketches, FS-COCO. With practical applications in mind, we collect sketches that convey well scene content but can be sketched within... | [
"# Dataset Card for Sketch Scene Descriptions\n\n_Dataset used to train [Sketch Scene text to image model]()_\n\nWe advance sketch research to scenes with the first dataset of freehand scene sketches, FS-COCO. With practical applications in mind, we collect sketches that convey well scene content but can be sketche... | [
"TAGS\n#task_categories-text-to-image #language_creators-machine-generated #multilinguality-monolingual #size_categories-n<10K #source_datasets-FS-COCO #language-English #license-cc-by-nc-sa-4.0 #region-us \n",
"# Dataset Card for Sketch Scene Descriptions\n\n_Dataset used to train [Sketch Scene text to image mod... | [
75,
205
] | [
"passage: TAGS\n#task_categories-text-to-image #language_creators-machine-generated #multilinguality-monolingual #size_categories-n<10K #source_datasets-FS-COCO #language-English #license-cc-by-nc-sa-4.0 #region-us \n# Dataset Card for Sketch Scene Descriptions\n\n_Dataset used to train [Sketch Scene text to image ... |
5c0abe70104c7e699d1834afd39232def41b0f77 | # Dataset Card for "turkishReviews-ds-mini"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | eminecg/turkishReviews-ds-mini | [
"region:us"
] | 2022-10-29T17:16:42+00:00 | {"dataset_info": {"features": [{"name": "review", "dtype": "string"}, {"name": "review_length", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 1296087.3, "num_examples": 3600}, {"name": "validation", "num_bytes": 144009.7, "num_examples": 400}], "download_size": 915922, "dataset_size": 1440097.0}} | 2022-11-07T10:03:01+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "turkishReviews-ds-mini"
More Information needed | [
"# Dataset Card for \"turkishReviews-ds-mini\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"turkishReviews-ds-mini\"\n\nMore Information needed"
] | [
6,
19
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"turkishReviews-ds-mini\"\n\nMore Information needed"
] |
13070b62b99dbd27502b95ef9980f2a34d32f691 | Pictures of ME! | stwhiteisme/Stwhiteisme | [
"region:us"
] | 2022-10-29T17:18:42+00:00 | {} | 2022-10-29T17:19:22+00:00 | [] | [] | TAGS
#region-us
| Pictures of ME! | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
0c88dc959fd721314f8ad736a96057cf1665e852 | # AutoTrain Dataset for project: oaoqoqkaksk
## Dataset Description
This dataset has been automatically processed by AutoTrain for project oaoqoqkaksk.
### Languages
The BCP-47 code for the dataset's language is en2nl.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
```json
... | Tritkoman/ENtoANGGNOME | [
"task_categories:translation",
"language:en",
"language:nl",
"region:us"
] | 2022-10-29T17:30:11+00:00 | {"language": ["en", "nl"], "task_categories": ["translation"]} | 2022-10-29T17:45:18+00:00 | [] | [
"en",
"nl"
] | TAGS
#task_categories-translation #language-English #language-Dutch #region-us
| AutoTrain Dataset for project: oaoqoqkaksk
==========================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project oaoqoqkaksk.
### Languages
The BCP-47 code for the dataset's language is en2nl.
Dataset Structure
---------------... | [
"### Languages\n\n\nThe BCP-47 code for the dataset's language is en2nl.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):",
"### Dataset Splits\n\n\nThis... | [
"TAGS\n#task_categories-translation #language-English #language-Dutch #region-us \n",
"### Languages\n\n\nThe BCP-47 code for the dataset's language is en2nl.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe datase... | [
25,
28,
17,
23,
27
] | [
"passage: TAGS\n#task_categories-translation #language-English #language-Dutch #region-us \n### Languages\n\n\nThe BCP-47 code for the dataset's language is en2nl.\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... |
d00918e71905f1a4f4696d0e61a979cfe8ccee01 | Dfggggvvhg | Zxol/Dfv | [
"license:bigscience-bloom-rail-1.0",
"region:us"
] | 2022-10-29T18:46:09+00:00 | {"license": "bigscience-bloom-rail-1.0"} | 2022-10-29T18:46:54+00:00 | [] | [] | TAGS
#license-bigscience-bloom-rail-1.0 #region-us
| Dfggggvvhg | [] | [
"TAGS\n#license-bigscience-bloom-rail-1.0 #region-us \n"
] | [
19
] | [
"passage: TAGS\n#license-bigscience-bloom-rail-1.0 #region-us \n"
] |
b4b871e5d5f20e77218d34aabfd7e09f782fedd0 |
# Dataset Description
## Structure
- Consists of 5 fields
- Each row corresponds to a policy - sequence of actions, given an initial `<START>` state, and corresponding rewards at each step.
## Fields
`steps`, `step_attn_masks`, `rewards`, `actions`, `dones`
## Field descriptions
- `steps` (List of lists of `Int`... | AnonymousSub/recipe_RL_data_roberta-base | [
"multilinguality:monolingual",
"language:en",
"region:us"
] | 2022-10-29T20:16:35+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": [], "multilinguality": ["monolingual"], "size_categories": [], "source_datasets": [], "task_categories": [], "task_ids": [], "pretty_name": "recipe RL roberta base", "tags": []} | 2022-11-03T15:38:06+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #language-English #region-us
|
# Dataset Description
## Structure
- Consists of 5 fields
- Each row corresponds to a policy - sequence of actions, given an initial '<START>' state, and corresponding rewards at each step.
## Fields
'steps', 'step_attn_masks', 'rewards', 'actions', 'dones'
## Field descriptions
- 'steps' (List of lists of 'Int'... | [
"# Dataset Description",
"## Structure\n\n- Consists of 5 fields\n- Each row corresponds to a policy - sequence of actions, given an initial '<START>' state, and corresponding rewards at each step.",
"## Fields\n\n'steps', 'step_attn_masks', 'rewards', 'actions', 'dones'",
"## Field descriptions\n\n- 'steps' ... | [
"TAGS\n#multilinguality-monolingual #language-English #region-us \n",
"# Dataset Description",
"## Structure\n\n- Consists of 5 fields\n- Each row corresponds to a policy - sequence of actions, given an initial '<START>' state, and corresponding rewards at each step.",
"## Fields\n\n'steps', 'step_attn_masks'... | [
18,
4,
47,
33,
272,
29
] | [
"passage: TAGS\n#multilinguality-monolingual #language-English #region-us \n# Dataset Description## Structure\n\n- Consists of 5 fields\n- Each row corresponds to a policy - sequence of actions, given an initial '<START>' state, and corresponding rewards at each step.## Fields\n\n'steps', 'step_attn_masks', 'reward... |
d98f91761614aa984340c6ce99a333e4b2cd21b6 |
# Chibi 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 chibi_style"```
Use (Chibi) tag beside the Embedding for best results
If it is to strong just add [] ar... | Nerfgun3/chibi_style | [
"language:en",
"license:creativeml-openrail-m",
"stable-diffusion",
"text-to-image",
"region:us"
] | 2022-10-29T20:44:17+00:00 | {"language": ["en"], "license": "creativeml-openrail-m", "tags": ["stable-diffusion", "text-to-image"], "inference": false} | 2022-10-29T20:50:26+00:00 | [] | [
"en"
] | TAGS
#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #region-us
| Chibi 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 (Chibi) tag beside the Embedding for best results
If it is to st... | [] | [
"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"
] |
008edafee29d0b086ea59c8b94a83fb12cb1aa00 |
# Dataset Card for S&P 500 Dataset
## 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-s... | nick-carroll1/sp500 | [
"region:us"
] | 2022-10-29T22:20:49+00:00 | {} | 2022-10-29T23:08:46+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for S&P 500 Dataset
## 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
- ... | [
"# Dataset Card for S&P 500 Dataset",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\... | [
"TAGS\n#region-us \n",
"# Dataset Card for S&P 500 Dataset",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Ra... | [
6,
11,
125,
96,
108,
10,
6,
6,
5,
16,
5,
7,
5,
10,
10,
5,
5,
9,
8,
8,
7,
8,
7,
5,
6,
6,
4522,
12
] | [
"passage: TAGS\n#region-us \n# Dataset Card for S&P 500 Dataset## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Ratio... |
d77d7ad3c624c51030f2f32c83e892b3d620b3d4 |
# Dataset Card for ProsocialDialog Dataset
## Dataset Description
- **Repository:** [Dataset and Model](https://github.com/skywalker023/prosocial-dialog)
- **Paper:** [ProsocialDialog: A Prosocial Backbone for Conversational Agents](https://aclanthology.org/2022.emnlp-main.267/)
- **Point of Contact:** [Hyunwoo Kim](... | allenai/prosocial-dialog | [
"task_categories:conversational",
"task_categories:text-classification",
"task_ids:dialogue-generation",
"task_ids:multi-class-classification",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"language_creators:machine-generated",
"multilinguality:monolingual",
"size_categorie... | 2022-10-30T04:24:12+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced", "machine-generated"], "language": ["en"], "license": "cc-by-4.0", "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K", "100K<n<1M"], "source_datasets": ["original", "extended|social_bias_frames"], "task_categories": ["conv... | 2023-02-03T07:58:29+00:00 | [
"2205.12688"
] | [
"en"
] | TAGS
#task_categories-conversational #task_categories-text-classification #task_ids-dialogue-generation #task_ids-multi-class-classification #annotations_creators-crowdsourced #language_creators-crowdsourced #language_creators-machine-generated #multilinguality-monolingual #size_categories-10K<n<100K #size_categories-1... | Dataset Card for ProsocialDialog Dataset
========================================
Dataset Description
-------------------
* Repository: Dataset and Model
* Paper: ProsocialDialog: A Prosocial Backbone for Conversational Agents
* Point of Contact: Hyunwoo Kim
Dataset Summary
---------------
ProsocialDialog is th... | [
"### Data Attributes\n\n\nattribute: 'context', type: str, description: the potentially unsafe utterance\nattribute: 'response', type: str, description: the guiding utterance grounded on rules-of-thumb ('rots')\nattribute: 'rots', type: list of str|null, description: the relevant rules-of-thumb for 'text' *not* lab... | [
"TAGS\n#task_categories-conversational #task_categories-text-classification #task_ids-dialogue-generation #task_ids-multi-class-classification #annotations_creators-crowdsourced #language_creators-crowdsourced #language_creators-machine-generated #multilinguality-monolingual #size_categories-10K<n<100K #size_catego... | [
186,
591,
42
] | [
"passage: TAGS\n#task_categories-conversational #task_categories-text-classification #task_ids-dialogue-generation #task_ids-multi-class-classification #annotations_creators-crowdsourced #language_creators-crowdsourced #language_creators-machine-generated #multilinguality-monolingual #size_categories-10K<n<100K #si... |
3e9c4eb6eb75d1a72396ab005bcd0abdcf319060 | # Dataset Card for "sroie_document_understanding"
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Structure](#dataset-structure)
- [Data Fields](#data-fields)
- [Dataset Creation](#dataset-creation)
- [Source Data](#source-data)
- [Annotatio... | arvindrajan92/sroie_document_understanding | [
"license:mit",
"region:us"
] | 2022-10-30T04:49:57+00:00 | {"license": "mit", "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "ocr", "list": [{"name": "box", "sequence": {"sequence": "float64"}}, {"name": "label", "dtype": "string"}, {"name": "text", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 267317016.0, "num_examples": 652}],... | 2022-10-30T06:30:53+00:00 | [] | [] | TAGS
#license-mit #region-us
| # Dataset Card for "sroie_document_understanding"
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Structure
- Data Fields
- Dataset Creation
- Source Data
- Annotations
- Additional Information
- Licensing Information
- Contributions
## Dataset Description
This dataset is an enrich... | [
"# Dataset Card for \"sroie_document_understanding\"",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n- Dataset Structure\n - Data Fields\n- Dataset Creation\n - Source Data\n - Annotations\n- Additional Information\n - Licensing Information\n - Contributions",
"## Dataset Description\n... | [
"TAGS\n#license-mit #region-us \n",
"# Dataset Card for \"sroie_document_understanding\"",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n- Dataset Structure\n - Data Fields\n- Dataset Creation\n - Source Data\n - Annotations\n- Additional Information\n - Licensing Information\n - Contr... | [
11,
15,
50,
39,
6,
5,
5,
27,
5,
25,
27,
5,
8,
19
] | [
"passage: TAGS\n#license-mit #region-us \n# Dataset Card for \"sroie_document_understanding\"## Table of Contents\n- Table of Contents\n- Dataset Description\n- Dataset Structure\n - Data Fields\n- Dataset Creation\n - Source Data\n - Annotations\n- Additional Information\n - Licensing Information\n - Contribu... |
06581f273fd26b82fb36eecb48ddda298564f29f |
Free Fonts for Simplified Chinese, downloaded from [Google Fonts](https://fonts.google.com/?subset=chinese-simplified). | breezedeus/openfonts | [
"license:ofl-1.1",
"region:us"
] | 2022-10-30T06:29:57+00:00 | {"license": "ofl-1.1"} | 2022-10-30T06:37:11+00:00 | [] | [] | TAGS
#license-ofl-1.1 #region-us
|
Free Fonts for Simplified Chinese, downloaded from Google Fonts. | [] | [
"TAGS\n#license-ofl-1.1 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#license-ofl-1.1 #region-us \n"
] |
1a267499f05a2ada702cca61e9caf6ce4ed0cd6d | noticias medioambiente | api19750904/efeverde | [
"region:us"
] | 2022-10-30T09:29:19+00:00 | {} | 2022-10-30T09:30:29+00:00 | [] | [] | TAGS
#region-us
| noticias medioambiente | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
a8f3bebe787e1b70a2bc5d3f6025b414a2eb4467 |
# Wlop 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 wlop_style"```
Use the Embedding with one of [SirVeggies](https://huggingface.co/SirVeggie) Wlop models f... | Nerfgun3/wlop_style | [
"language:en",
"license:creativeml-openrail-m",
"stable-diffusion",
"text-to-image",
"region:us"
] | 2022-10-30T09:36:54+00:00 | {"language": ["en"], "license": "creativeml-openrail-m", "tags": ["stable-diffusion", "text-to-image"], "inference": false} | 2022-11-03T23:34:09+00:00 | [] | [
"en"
] | TAGS
#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #region-us
| Wlop 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 Wlop models for best results
... | [] | [
"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"
] |
3971d9415584a57e6564fcc83310433c52a7bb82 |
# Torino 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 torino_art"```
If it is to strong just add [] around it.
Trained until 12800 steps
Have fun :)
## E... | Nerfgun3/torino_art | [
"language:en",
"license:creativeml-openrail-m",
"stable-diffusion",
"text-to-image",
"region:us"
] | 2022-10-30T09:47:07+00:00 | {"language": ["en"], "license": "creativeml-openrail-m", "tags": ["stable-diffusion", "text-to-image"], "inference": false} | 2022-10-30T09:53:46+00:00 | [] | [
"en"
] | TAGS
#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #region-us
| Torino 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 12800 st... | [] | [
"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"
] |
6892e2e8f10b7b385041ec817f024c8dfa4cbad2 | # Dataset Card for "answerable_tydiqa_raw"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | PartiallyTyped/answerable_tydiqa_raw | [
"region:us"
] | 2022-10-30T10:18:47+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "language", "dtype": "string"}, {"name": "golds", "struct": [{"name": "answer_start", "sequence": "int64"}, {"name": "answer_text", "sequence": "string"}]}, {"name": "context", "dtype": "string"}, {"name": "seq_id", "dtype": "string"}], "s... | 2022-10-30T10:19:07+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "answerable_tydiqa_raw"
More Information needed | [
"# Dataset Card for \"answerable_tydiqa_raw\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"answerable_tydiqa_raw\"\n\nMore Information needed"
] | [
6,
19
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"answerable_tydiqa_raw\"\n\nMore Information needed"
] |
5dc06479106fbe781b1d1bb3c5da16ae4f3fdde0 | # Dataset Card for "answerable_tydiqa_raw_split"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | PartiallyTyped/answerable_tydiqa_raw_split | [
"region:us"
] | 2022-10-30T10:19:23+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "language", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "seq_id", "dtype": "string"}, {"name": "golds", "struct": [{"name": "answer_start", "sequence": "int64"}, {"name": "answer_text", "sequence": "string"}]}], "s... | 2022-10-30T10:19:44+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "answerable_tydiqa_raw_split"
More Information needed | [
"# Dataset Card for \"answerable_tydiqa_raw_split\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"answerable_tydiqa_raw_split\"\n\nMore Information needed"
] | [
6,
22
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"answerable_tydiqa_raw_split\"\n\nMore Information needed"
] |
9e80f0e386c0c307eea98787ffa2dc558105cbfb | # Dataset Card for "answerable_tydiqa_5fbde19f5f4ac461c405a962adddaeb6"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | PartiallyTyped/answerable_tydiqa_5fbde19f5f4ac461c405a962adddaeb6 | [
"region:us"
] | 2022-10-30T10:23:50+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "language", "dtype": "string"}, {"name": "golds", "struct": [{"name": "answer_start", "sequence": "int64"}, {"name": "answer_text", "sequence": "string"}]}, {"name": "context", "dtype": "string"}, {"name": "seq_id", "dtype": "string"}], "s... | 2022-10-30T10:24:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "answerable_tydiqa_5fbde19f5f4ac461c405a962adddaeb6"
More Information needed | [
"# Dataset Card for \"answerable_tydiqa_5fbde19f5f4ac461c405a962adddaeb6\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"answerable_tydiqa_5fbde19f5f4ac461c405a962adddaeb6\"\n\nMore Information needed"
] | [
6,
39
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"answerable_tydiqa_5fbde19f5f4ac461c405a962adddaeb6\"\n\nMore Information needed"
] |
629ddc29395be3b5f982d8daf6d12731d7364931 | # Dataset Card for "answerable_tydiqa_6fe3e6eac99651ae0255a686875476a4"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | PartiallyTyped/answerable_tydiqa_6fe3e6eac99651ae0255a686875476a4 | [
"region:us"
] | 2022-10-30T10:26:11+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "language", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "seq_id", "dtype": "string"}, {"name": "golds", "struct": [{"name": "answer_start", "sequence": "int64"}, {"name": "answer_text", "sequence": "string"}]}], "s... | 2022-10-30T10:26:33+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "answerable_tydiqa_6fe3e6eac99651ae0255a686875476a4"
More Information needed | [
"# Dataset Card for \"answerable_tydiqa_6fe3e6eac99651ae0255a686875476a4\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"answerable_tydiqa_6fe3e6eac99651ae0255a686875476a4\"\n\nMore Information needed"
] | [
6,
38
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"answerable_tydiqa_6fe3e6eac99651ae0255a686875476a4\"\n\nMore Information needed"
] |
c663a7a901ed9bfe086d513ce9de7aa2dbea5680 |
<h4> Usage </h4>
To use this embedding you have to download the file and put it into the "\stable-diffusion-webui\embeddings" folder
To use it in a prompt add
<em style="font-weight:600">art by assassin_style </em>
add <b>[ ]</b> around it to reduce its weight.
<h4> Included Files </h4>
<ul>
<li>6500 steps <em>U... | zZWipeoutZz/assassin_style | [
"license:creativeml-openrail-m",
"region:us"
] | 2022-10-30T11:37:45+00:00 | {"license": "creativeml-openrail-m"} | 2022-10-30T13:00:51+00:00 | [] | [] | TAGS
#license-creativeml-openrail-m #region-us
| #### Usage
To use this embedding you have to download the file and put it into the "\stable-diffusion-webui\embeddings" folder
To use it in a prompt add
*art by assassin\_style*
add **[ ]** around it to reduce its weight.
#### Included Files
* 6500 steps *Usage: art by assassin\_style-6500*
* 10,000 steps *U... | [
"#### Usage\n\n\nTo use this embedding you have to download the file and put it into the \"\\stable-diffusion-webui\\embeddings\" folder\nTo use it in a prompt add\n*art by assassin\\_style* \n\n\nadd **[ ]** around it to reduce its weight.",
"#### Included Files\n\n\n* 6500 steps *Usage: art by assassin\\_styl... | [
"TAGS\n#license-creativeml-openrail-m #region-us \n",
"#### Usage\n\n\nTo use this embedding you have to download the file and put it into the \"\\stable-diffusion-webui\\embeddings\" folder\nTo use it in a prompt add\n*art by assassin\\_style* \n\n\nadd **[ ]** around it to reduce its weight.",
"#### Include... | [
18,
65,
63,
5,
44
] | [
"passage: TAGS\n#license-creativeml-openrail-m #region-us \n#### Usage\n\n\nTo use this embedding you have to download the file and put it into the \"\\stable-diffusion-webui\\embeddings\" folder\nTo use it in a prompt add\n*art by assassin\\_style* \n\n\nadd **[ ]** around it to reduce its weight.#### Included F... |
f62c99bb7b1c00254d300679172802b400281cfe |
Movielens 20m data with split training and test set by userId for GAUC.
More details could be see at:
https://github.com/auxten/edgeRec/blob/main/example/movielens/readme.md
## User split
user split status in `user` table, see SQL below:
```sql
create table movies
(
movieId INTEGER,
title TEXT,
genres ... | auxten/movielens-20m | [
"license:apache-2.0",
"region:us"
] | 2022-10-30T13:47:43+00:00 | {"license": "apache-2.0"} | 2022-10-30T13:57:36+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
Movielens 20m data with split training and test set by userId for GAUC.
More details could be see at:
URL
## User split
user split status in 'user' table, see SQL below:
## User feature
'user_feature_train' and 'user_feature_test' are pre-processed user feature
see SQL below:
## User behavior
| [
"## User split\nuser split status in 'user' table, see SQL below:",
"## User feature\n'user_feature_train' and 'user_feature_test' are pre-processed user feature\nsee SQL below:",
"## User behavior"
] | [
"TAGS\n#license-apache-2.0 #region-us \n",
"## User split\nuser split status in 'user' table, see SQL below:",
"## User feature\n'user_feature_train' and 'user_feature_test' are pre-processed user feature\nsee SQL below:",
"## User behavior"
] | [
14,
16,
32,
3
] | [
"passage: TAGS\n#license-apache-2.0 #region-us \n## User split\nuser split status in 'user' table, see SQL below:## User feature\n'user_feature_train' and 'user_feature_test' are pre-processed user feature\nsee SQL below:## User behavior"
] |
b5c56fd50f5993b1cebb86586d286981ec05ae72 |
# Dataset Card for "lmqg/qg_annotation"
## Dataset Description
- **Repository:** [https://github.com/asahi417/lm-question-generation](https://github.com/asahi417/lm-question-generation)
- **Paper:** [https://arxiv.org/abs/2210.03992](https://arxiv.org/abs/2210.03992)
- **Point of Contact:** [Asahi Ushio](http://asahi... | lmqg/qg_annotation | [
"multilinguality:monolingual",
"size_categories:<1K",
"language:en",
"license:cc-by-4.0",
"arxiv:2210.03992",
"region:us"
] | 2022-10-30T14:26:50+00:00 | {"language": "en", "license": "cc-by-4.0", "multilinguality": "monolingual", "size_categories": "<1K", "pretty_name": "QG Annotation"} | 2022-10-30T15:08:30+00:00 | [
"2210.03992"
] | [
"en"
] | TAGS
#multilinguality-monolingual #size_categories-<1K #language-English #license-cc-by-4.0 #arxiv-2210.03992 #region-us
|
# Dataset Card for "lmqg/qg_annotation"
## Dataset Description
- Repository: URL
- Paper: URL
- Point of Contact: Asahi Ushio
### Dataset Summary
This is the annotated questions generated by different models, used to measure the correlation of automatic metrics against
human in "Generative Language Models for Parag... | [
"# Dataset Card for \"lmqg/qg_annotation\"",
"## Dataset Description\n- Repository: URL\n- Paper: URL\n- Point of Contact: Asahi Ushio",
"### Dataset Summary\nThis is the annotated questions generated by different models, used to measure the correlation of automatic metrics against \nhuman in \"Generative Langu... | [
"TAGS\n#multilinguality-monolingual #size_categories-<1K #language-English #license-cc-by-4.0 #arxiv-2210.03992 #region-us \n",
"# Dataset Card for \"lmqg/qg_annotation\"",
"## Dataset Description\n- Repository: URL\n- Paper: URL\n- Point of Contact: Asahi Ushio",
"### Dataset Summary\nThis is the annotated q... | [
46,
16,
24,
65,
8,
18
] | [
"passage: TAGS\n#multilinguality-monolingual #size_categories-<1K #language-English #license-cc-by-4.0 #arxiv-2210.03992 #region-us \n# Dataset Card for \"lmqg/qg_annotation\"## Dataset Description\n- Repository: URL\n- Paper: URL\n- Point of Contact: Asahi Ushio### Dataset Summary\nThis is the annotated questions ... |
66bebf8a6d23d46f11d9528c9b9c01cad0a78d2d | efeverde | api19750904/efeverde_5_cat_lem | [
"region:us"
] | 2022-10-30T17:42:40+00:00 | {} | 2022-10-30T17:43:32+00:00 | [] | [] | TAGS
#region-us
| efeverde | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
339ce0d6a41439bac7b42fd71405e68253ed1dbf |
# Dataset Card for LILA
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
... | society-ethics/lila_camera_traps | [
"task_categories:image-classification",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:10M<n<100M",
"source_datasets:original",
"language:en",
"license:other",
"biodiversity",
"camera trap data",
"wildlife monitoring... | 2022-10-30T22:34:29+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["10M<n<100M"], "source_datasets": ["original"], "task_categories": ["image-classification"], "pretty_name": "LILA Camera Traps", "ta... | 2023-03-07T20:14:40+00:00 | [] | [
"en"
] | TAGS
#task_categories-image-classification #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-10M<n<100M #source_datasets-original #language-English #license-other #biodiversity #camera trap data #wildlife monitoring #region-us
|
# Dataset Card for LILA
## 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
- Personal an... | [
"# Dataset Card for LILA",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annota... | [
"TAGS\n#task_categories-image-classification #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-10M<n<100M #source_datasets-original #language-English #license-other #biodiversity #camera trap data #wildlife monitoring #region-us \n",
"# Datase... | [
90,
7,
134,
46,
5028,
19,
15,
6,
45,
166,
21,
5,
33,
4,
13,
13,
5,
26,
30,
76,
8,
104,
31,
10,
5,
37,
244,
58,
65,
19
] | [
"passage: TAGS\n#task_categories-image-classification #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-10M<n<100M #source_datasets-original #language-English #license-other #biodiversity #camera trap data #wildlife monitoring #region-us \n# Dat... |
4f352870d3552163c0b4be7ee7195e1cf402f5b3 |
# Dataset Card for openpi_v2
## 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-structu... | abhinavk/openpi_v2 | [
"task_categories:question-answering",
"task_categories:text-classification",
"task_ids:entity-linking-classification",
"task_ids:natural-language-inference",
"annotations_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"language:en",
"license:cc-by-4.0",
"r... | 2022-10-31T04:49:26+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": [], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": [], "task_categories": ["question-answering", "text-classification"], "task_ids": ["entity-linking-classificatio... | 2022-11-07T02:23:34+00:00 | [] | [
"en"
] | TAGS
#task_categories-question-answering #task_categories-text-classification #task_ids-entity-linking-classification #task_ids-natural-language-inference #annotations_creators-expert-generated #multilinguality-monolingual #size_categories-10K<n<100K #language-English #license-cc-by-4.0 #region-us
|
# Dataset Card for openpi_v2
## 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
- Person... | [
"# Dataset Card for openpi_v2",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - A... | [
"TAGS\n#task_categories-question-answering #task_categories-text-classification #task_ids-entity-linking-classification #task_ids-natural-language-inference #annotations_creators-expert-generated #multilinguality-monolingual #size_categories-10K<n<100K #language-English #license-cc-by-4.0 #region-us \n",
"# Datas... | [
102,
10,
125,
24,
102,
157,
5,
6,
14,
65,
8,
11,
5,
7,
4,
10,
10,
5,
5,
9,
8,
8,
7,
8,
7,
5,
6,
6,
19
] | [
"passage: TAGS\n#task_categories-question-answering #task_categories-text-classification #task_ids-entity-linking-classification #task_ids-natural-language-inference #annotations_creators-expert-generated #multilinguality-monolingual #size_categories-10K<n<100K #language-English #license-cc-by-4.0 #region-us \n# Da... |
0ce47b4d95b13204112fea6b36bb35847d690f35 |
# Dataset Card for MyoQuant SDH Data
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Dataset Structure](#dataset-structure)
- [Data Instances and Splits](#data-instances-and-splits)
- [Dataset Creation and Annot... | corentinm7/MyoQuant-SDH-Data | [
"task_categories:image-classification",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"size_categories:10K<n<100K",
"source_datasets:original",
"license:agpl-3.0",
"myology",
"biology",
"histology",
"muscle",
"cells",
"fibers",
"myopathy",
"SDH",
"myoquan... | 2022-10-31T08:37:20+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": [], "license": ["agpl-3.0"], "multilinguality": [], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["image-classification"], "pretty_name": "SDH staining muscle fiber histology i... | 2022-11-16T18:19:23+00:00 | [] | [] | TAGS
#task_categories-image-classification #annotations_creators-expert-generated #language_creators-expert-generated #size_categories-10K<n<100K #source_datasets-original #license-agpl-3.0 #myology #biology #histology #muscle #cells #fibers #myopathy #SDH #myoquant #region-us
| Dataset Card for MyoQuant SDH Data
==================================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
* Dataset Structure
+ Data Instances and Splits
* Dataset Creation and Annotations
+ Source Data and annotation process
+ Who are the annotators ?... | [
"### Dataset Summary\n\n\n\n\n\n\n\nThis dataset contains images of individual muscle fiber used to train MyoQuant SDH Model. The goal of these data is to train a tool to classify SDH stained muscle fibers depending on the presence of mitochondria repartition anomalies. A pathological feature... | [
"TAGS\n#task_categories-image-classification #annotations_creators-expert-generated #language_creators-expert-generated #size_categories-10K<n<100K #source_datasets-original #license-agpl-3.0 #myology #biology #histology #muscle #cells #fibers #myopathy #SDH #myoquant #region-us \n",
"### Dataset Summary\n\n\n\n!... | [
99,
104,
63,
146,
211,
38,
47,
161,
487
] | [
"passage: TAGS\n#task_categories-image-classification #annotations_creators-expert-generated #language_creators-expert-generated #size_categories-10K<n<100K #source_datasets-original #license-agpl-3.0 #myology #biology #histology #muscle #cells #fibers #myopathy #SDH #myoquant #region-us \n### Dataset Summary\n\n\n... |
892faabeccc027ec862b3889a6cb232ea04d4558 | # 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: autoevaluate/multi-class-classification
* Dataset: emotion
* Config: default
* Split: test
... | autoevaluate/autoeval-staging-eval-project-083d71a4-50b6-4074-aa7d-a46eddb83f06-42 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-31T09:10:47+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["emotion"], "eval_info": {"task": "multi_class_classification", "model": "autoevaluate/multi-class-classification", "metrics": ["matthews_correlation"], "dataset_name": "emotion", "dataset_config": "default", "dataset_split": "test", "col_mapping... | 2022-10-31T09:11:37+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: autoevaluate/multi-class-classification
* Dataset: emotion
* Config: default
* Split: test
To run new evaluation jobs, visit Hu... | [
"# 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: autoevaluate/multi-class-classification\n* Dataset: emotion\n* Config: default\n* Split: test\n\nTo run new evaluation... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# 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: autoevaluate/multi-class-classification\n* Dataset: emotion\n* Config:... | [
13,
87,
15
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# 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: autoevaluate/multi-class-classification\n* Dataset: emotion\n* Conf... |
50549635611eefc47cc7852b05fa7838e6b32ea3 | # 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: autoevaluate/multi-class-classification
* Dataset: emotion
* Config: default
* Split: test
... | autoevaluate/autoeval-staging-eval-project-fe056b5c-7e36-4094-b3f2-84d1fbaaf77c-53 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-31T09:25:02+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["emotion"], "eval_info": {"task": "multi_class_classification", "model": "autoevaluate/multi-class-classification", "metrics": ["matthews_correlation"], "dataset_name": "emotion", "dataset_config": "default", "dataset_split": "test", "col_mapping... | 2022-10-31T09:25:45+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: autoevaluate/multi-class-classification
* Dataset: emotion
* Config: default
* Split: test
To run new evaluation jobs, visit Hu... | [
"# 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: autoevaluate/multi-class-classification\n* Dataset: emotion\n* Config: default\n* Split: test\n\nTo run new evaluation... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# 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: autoevaluate/multi-class-classification\n* Dataset: emotion\n* Config:... | [
13,
87,
15
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# 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: autoevaluate/multi-class-classification\n* Dataset: emotion\n* Conf... |
08d5a56fbbfbd8f8e7c6372cfb2f43159388f872 | # 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: autoevaluate/multi-class-classification
* Dataset: emotion
* Config: default
* Split: test
... | autoevaluate/autoeval-staging-eval-project-6da44258-8968-4823-8933-3375e1cfee89-64 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-31T10:45:00+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["emotion"], "eval_info": {"task": "multi_class_classification", "model": "autoevaluate/multi-class-classification", "metrics": ["matthews_correlation"], "dataset_name": "emotion", "dataset_config": "default", "dataset_split": "test", "col_mapping... | 2022-10-31T10:45:45+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: autoevaluate/multi-class-classification
* Dataset: emotion
* Config: default
* Split: test
To run new evaluation jobs, visit Hu... | [
"# 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: autoevaluate/multi-class-classification\n* Dataset: emotion\n* Config: default\n* Split: test\n\nTo run new evaluation... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# 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: autoevaluate/multi-class-classification\n* Dataset: emotion\n* Config:... | [
13,
87,
15
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# 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: autoevaluate/multi-class-classification\n* Dataset: emotion\n* Conf... |
35619762a828711029111dac816e3be6bfb33059 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Binary Text Classification
* Model: autoevaluate/binary-classification
* Dataset: glue
* Config: sst2
* Split: validation
To run new... | autoevaluate/autoeval-staging-eval-project-0d3aacb2-653b-459b-af2f-2d90d5362791-75 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-31T11:00:08+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["glue"], "eval_info": {"task": "binary_classification", "model": "autoevaluate/binary-classification", "metrics": ["matthews_correlation"], "dataset_name": "glue", "dataset_config": "sst2", "dataset_split": "validation", "col_mapping": {"text": "... | 2022-10-31T11:00:48+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: Binary Text Classification
* Model: autoevaluate/binary-classification
* Dataset: glue
* Config: sst2
* Split: validation
To run new evaluation jobs, visit Hugging Face... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Split: validation\n\nTo run new evaluation jobs, vis... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Spli... | [
13,
89,
15
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* S... |
66839876b5ad5337aa11c89d71db04f3e1e2ff15 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Binary Text Classification
* Model: autoevaluate/binary-classification
* Dataset: glue
* Config: sst2
* Split: validation
To run new... | autoevaluate/autoeval-staging-eval-project-95ce44b7-7684-4cf4-b396-d486367937e4-86 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-31T11:29:16+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["glue"], "eval_info": {"task": "binary_classification", "model": "autoevaluate/binary-classification", "metrics": ["matthews_correlation"], "dataset_name": "glue", "dataset_config": "sst2", "dataset_split": "validation", "col_mapping": {"text": "... | 2022-10-31T11:29:54+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: Binary Text Classification
* Model: autoevaluate/binary-classification
* Dataset: glue
* Config: sst2
* Split: validation
To run new evaluation jobs, visit Hugging Face... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Split: validation\n\nTo run new evaluation jobs, vis... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Spli... | [
13,
89,
15
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* S... |
4e0cf3f26014b3ececa0fe89260099593caeb3c0 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Binary Text Classification
* Model: autoevaluate/binary-classification
* Dataset: glue
* Config: sst2
* Split: validation
To run new... | autoevaluate/autoeval-staging-eval-project-f69c187c-a1f8-462d-8272-41a77bd1f8ed-97 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-31T11:32:19+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["glue"], "eval_info": {"task": "binary_classification", "model": "autoevaluate/binary-classification", "metrics": ["matthews_correlation"], "dataset_name": "glue", "dataset_config": "sst2", "dataset_split": "validation", "col_mapping": {"text": "... | 2022-10-31T11:32:57+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: Binary Text Classification
* Model: autoevaluate/binary-classification
* Dataset: glue
* Config: sst2
* Split: validation
To run new evaluation jobs, visit Hugging Face... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Split: validation\n\nTo run new evaluation jobs, vis... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Spli... | [
13,
89,
15
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* S... |
c8287a1fdc3bb36bdbc84293a1a34cf4ee5384c5 | # positive-reframing-ptbr-dataset
Version translated into pt-br of the dataset available in the work ["Inducing Positive Perspectives with Text Reframing"](https://arxiv.org/abs/2204.02952). Used in model [positive-reframing-ptbr](https://huggingface.co/dominguesm/positive-reframing-ptbr).
**Citation:**
> Ziems, C.... | dominguesm/positive-reframing-ptbr-dataset | [
"arxiv:2204.02952",
"region:us"
] | 2022-10-31T12:17:25+00:00 | {"dataset_info": {"features": [{"name": "original_text", "dtype": "string"}, {"name": "reframed_text", "dtype": "string"}, {"name": "strategy", "dtype": "string"}, {"name": "strategy_original_text", "dtype": "string"}], "splits": [{"name": "dev", "num_bytes": 318805, "num_examples": 835}, {"name": "test", "num_bytes": ... | 2022-10-31T12:43:59+00:00 | [
"2204.02952"
] | [] | TAGS
#arxiv-2204.02952 #region-us
| # positive-reframing-ptbr-dataset
Version translated into pt-br of the dataset available in the work "Inducing Positive Perspectives with Text Reframing". Used in model positive-reframing-ptbr.
Citation:
> Ziems, C., Li, M., Zhang, A., & Yang, D. (2022). Inducing Positive Perspectives with Text Reframing. In _Proce... | [
"# positive-reframing-ptbr-dataset\n\nVersion translated into pt-br of the dataset available in the work \"Inducing Positive Perspectives with Text Reframing\". Used in model positive-reframing-ptbr.\n\n\nCitation:\n\n> Ziems, C., Li, M., Zhang, A., & Yang, D. (2022). Inducing Positive Perspectives with Text Refram... | [
"TAGS\n#arxiv-2204.02952 #region-us \n",
"# positive-reframing-ptbr-dataset\n\nVersion translated into pt-br of the dataset available in the work \"Inducing Positive Perspectives with Text Reframing\". Used in model positive-reframing-ptbr.\n\n\nCitation:\n\n> Ziems, C., Li, M., Zhang, A., & Yang, D. (2022). Indu... | [
15,
134
] | [
"passage: TAGS\n#arxiv-2204.02952 #region-us \n# positive-reframing-ptbr-dataset\n\nVersion translated into pt-br of the dataset available in the work \"Inducing Positive Perspectives with Text Reframing\". Used in model positive-reframing-ptbr.\n\n\nCitation:\n\n> Ziems, C., Li, M., Zhang, A., & Yang, D. (2022). I... |
eb792fb79d79a7e3b3b12eaea26dfb5a6ec23deb | # Dataset Card for "FoodBase"
Dataset for FoodBase corpus introduced in [this paper](https://academic.oup.com/database/article/doi/10.1093/database/baz121/5611291).
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Dizex/FoodBase | [
"region:us"
] | 2022-10-31T12:42:55+00:00 | {"dataset_info": {"features": [{"name": "nltk_tokens", "sequence": "string"}, {"name": "iob_tags", "sequence": "string"}, {"name": "input_ids", "sequence": "int32"}, {"name": "token_type_ids", "sequence": "int8"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "labels", "sequence": "int64"}], "splits": [{"nam... | 2022-10-31T12:48:53+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "FoodBase"
Dataset for FoodBase corpus introduced in this paper.
More Information needed | [
"# Dataset Card for \"FoodBase\"\n\nDataset for FoodBase corpus introduced in this paper.\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"FoodBase\"\n\nDataset for FoodBase corpus introduced in this paper.\n\nMore Information needed"
] | [
6,
26
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"FoodBase\"\n\nDataset for FoodBase corpus introduced in this paper.\n\nMore Information needed"
] |
5f56df48ab1ed088c122e2d73cd696e66e22e8e2 | # 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
200000/200000/100000
### Contributions
[@rufimelo99](https://github.com/rufimelo99)
| rufimelo/PortugueseLegalSentences-v2 | [
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"source_datasets:original",
"language:pt",
"license:apache-2.0",
"region:us"
] | 2022-10-31T14:28:04+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["pt"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "source_datasets": ["original"]} | 2022-11-01T13:14:38+00:00 | [] | [
"pt"
] | TAGS
#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
200000/200000/100000
### Contributions
@rufimelo99
| [
"# Portuguese Legal Sentences\nCollection of Legal Sentences from the Portuguese Supreme Court of Justice\nThe goal of this dataset was to be used for MLM and TSDAE\nExtended version of rufimelo/PortugueseLegalSentences-v1\n\n200000/200000/100000",
"### Contributions\n@rufimelo99"
] | [
"TAGS\n#annotations_creators-no-annotation #language_creators-found #multilinguality-monolingual #source_datasets-original #language-Portuguese #license-apache-2.0 #region-us \n",
"# Portuguese Legal Sentences\nCollection of Legal Sentences from the Portuguese Supreme Court of Justice\nThe goal of this dataset wa... | [
57,
64,
10
] | [
"passage: TAGS\n#annotations_creators-no-annotation #language_creators-found #multilinguality-monolingual #source_datasets-original #language-Portuguese #license-apache-2.0 #region-us \n# Portuguese Legal Sentences\nCollection of Legal Sentences from the Portuguese Supreme Court of Justice\nThe goal of this dataset... |
3bddddbe0ef0f314a548753b200ec3e681492a8e | # 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: SiraH/bert-finetuned-squad
* Dataset: subjqa
* Config: grocery
* Split: train
To run new evaluation jobs... | autoevaluate/autoeval-eval-subjqa-grocery-9dee2c-1945965520 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-31T14:45:07+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["subjqa"], "eval_info": {"task": "extractive_question_answering", "model": "SiraH/bert-finetuned-squad", "metrics": [], "dataset_name": "subjqa", "dataset_config": "grocery", "dataset_split": "train", "col_mapping": {"context": "context", "questi... | 2022-10-31T14:45:47+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: SiraH/bert-finetuned-squad
* Dataset: subjqa
* Config: grocery
* Split: train
To run new evaluation jobs, visit Hugging Face's automatic mod... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: SiraH/bert-finetuned-squad\n* Dataset: subjqa\n* Config: grocery\n* Split: train\n\nTo run new evaluation jobs, visit Hugging Face'... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: SiraH/bert-finetuned-squad\n* Dataset: subjqa\n* Config: grocery\n* Split: train\n\... | [
13,
90,
18
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: SiraH/bert-finetuned-squad\n* Dataset: subjqa\n* Config: grocery\n* Split: train... |
db95ae658758c7b2337a54a2facabefe3af9698a | # Dataset Card for "cartoon-blip-captions"
| Norod78/cartoon-blip-captions | [
"task_categories:text-to-image",
"annotations_creators:machine-generated",
"language_creators:other",
"multilinguality:monolingual",
"size_categories:n<1K",
"language:en",
"license:cc-by-nc-sa-4.0",
"region:us"
] | 2022-10-31T14:48:15+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["other"], "language": ["en"], "license": "cc-by-nc-sa-4.0", "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "pretty_name": "Cartoon BLIP captions", "dataset_info": {"features": [{"name": "image",... | 2022-11-09T16:27:57+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-to-image #annotations_creators-machine-generated #language_creators-other #multilinguality-monolingual #size_categories-n<1K #language-English #license-cc-by-nc-sa-4.0 #region-us
| # Dataset Card for "cartoon-blip-captions"
| [
"# Dataset Card for \"cartoon-blip-captions\""
] | [
"TAGS\n#task_categories-text-to-image #annotations_creators-machine-generated #language_creators-other #multilinguality-monolingual #size_categories-n<1K #language-English #license-cc-by-nc-sa-4.0 #region-us \n",
"# Dataset Card for \"cartoon-blip-captions\""
] | [
74,
15
] | [
"passage: TAGS\n#task_categories-text-to-image #annotations_creators-machine-generated #language_creators-other #multilinguality-monolingual #size_categories-n<1K #language-English #license-cc-by-nc-sa-4.0 #region-us \n# Dataset Card for \"cartoon-blip-captions\""
] |
17d5b9dafdaa266f17aedfaa0154fe56411cdb44 | # Dataset Card for "Arabic_SQuAD"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
---
# Citation
```
@inproceedings{mozannar-etal-2019-neural,
title = "Neural {A}rabic Question Answering",
author = "Mozannar, Hussein and
... | Mostafa3zazi/Arabic_SQuAD | [
"region:us"
] | 2022-10-31T19:16:37+00:00 | {"dataset_info": {"features": [{"name": "index", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "answer_start", "dtype": "int64"}, {"name": "c_id", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 61868003, ... | 2022-10-31T19:32:25+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Arabic_SQuAD"
More Information needed
---
--- | [
"# Dataset Card for \"Arabic_SQuAD\"\n\nMore Information needed\n\n---\n---"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Arabic_SQuAD\"\n\nMore Information needed\n\n---\n---"
] | [
6,
18
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"Arabic_SQuAD\"\n\nMore Information needed\n\n---\n---"
] |
3857e5ae2a3357a65605cce3d8314a3570371cbb |
A collection of regularization / class instance datasets for the [Stable Diffusion v1-5](https://huggingface.co/runwayml/stable-diffusion-v1-5) model to use for DreamBooth prior preservation loss training. Files labeled with "mse vae" used the [stabilityai/sd-vae-ft-mse](https://huggingface.co/stabilityai/sd-vae-ft-m... | ProGamerGov/StableDiffusion-v1-5-Regularization-Images | [
"license:mit",
"image-text-dataset",
"synthetic-dataset",
"region:us"
] | 2022-10-31T22:21:09+00:00 | {"license": "mit", "tags": ["image-text-dataset", "synthetic-dataset"]} | 2023-11-18T20:46:01+00:00 | [] | [] | TAGS
#license-mit #image-text-dataset #synthetic-dataset #region-us
|
A collection of regularization / class instance datasets for the Stable Diffusion v1-5 model to use for DreamBooth prior preservation loss training. Files labeled with "mse vae" used the stabilityai/sd-vae-ft-mse VAE. For ease of use, datasets are stored as zip files containing 512x512 PNG images. The number of image... | [] | [
"TAGS\n#license-mit #image-text-dataset #synthetic-dataset #region-us \n"
] | [
25
] | [
"passage: TAGS\n#license-mit #image-text-dataset #synthetic-dataset #region-us \n"
] |
3bc134f4be0eb287bca607e529ef11f06b7cea62 | My initial attempt at creating a dataset intended to create a customized model to include Ruby. | digiSilk/real_ruby | [
"region:us"
] | 2022-10-31T23:49:43+00:00 | {} | 2022-11-01T00:06:52+00:00 | [] | [] | TAGS
#region-us
| My initial attempt at creating a dataset intended to create a customized model to include Ruby. | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
a189a9d3742ff9a42941b536305cd77221d3262b | # BioNLP2021 dataset (Task2)
___
Data fields:
* text (str): source text; Section and Article (train_mul subset only) are separated by <SAS> ; Single Documents are separated by <DOC> ; Sentences are separated by <SS>
* summ_abs, summ_ext (str): abstractive and extractive summarization, whose Sentenc... | nbtpj/BioNLP2021 | [
"region:us"
] | 2022-11-01T01:51:49+00:00 | {} | 2023-01-02T02:11:44+00:00 | [] | [] | TAGS
#region-us
| # BioNLP2021 dataset (Task2)
___
Data fields:
* text (str): source text; Section and Article (train_mul subset only) are separated by <SAS> ; Single Documents are separated by <DOC> ; Sentences are separated by <SS>
* summ_abs, summ_ext (str): abstractive and extractive summarization, whose Sentenc... | [
"# BioNLP2021 dataset (Task2)\n___\n\nData fields:\n* text (str): source text; Section and Article (train_mul subset only) are separated by <SAS> ; Single Documents are separated by <DOC> ; Sentences are separated by <SS>\n* summ_abs, summ_ext (str): abstractive and extractive summarization, who... | [
"TAGS\n#region-us \n",
"# BioNLP2021 dataset (Task2)\n___\n\nData fields:\n* text (str): source text; Section and Article (train_mul subset only) are separated by <SAS> ; Single Documents are separated by <DOC> ; Sentences are separated by <SS>\n* summ_abs, summ_ext (str): abstractive and extr... | [
6,
153
] | [
"passage: TAGS\n#region-us \n# BioNLP2021 dataset (Task2)\n___\n\nData fields:\n* text (str): source text; Section and Article (train_mul subset only) are separated by <SAS> ; Single Documents are separated by <DOC> ; Sentences are separated by <SS>\n* summ_abs, summ_ext (str): abstractive and e... |
4d005b3e1a5f1e558bf1e53ba4d4c6835c9fc667 | # Dataset Card for "text_summarization_dataset1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | shahidul034/text_summarization_dataset1 | [
"region:us"
] | 2022-11-01T02:13:04+00:00 | {"dataset_info": {"features": [{"name": "title", "dtype": "string"}, {"name": "content", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 129017829, "num_examples": 106525}], "download_size": 43557623, "dataset_size": 129017829}} | 2022-11-01T02:13:08+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "text_summarization_dataset1"
More Information needed | [
"# Dataset Card for \"text_summarization_dataset1\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"text_summarization_dataset1\"\n\nMore Information needed"
] | [
6,
19
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"text_summarization_dataset1\"\n\nMore Information needed"
] |
55b0bfdf562703f905a60e4522bb56547c7406e8 | # Dataset Card for "text_summarization_dataset2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | shahidul034/text_summarization_dataset2 | [
"region:us"
] | 2022-11-01T02:14:42+00:00 | {"dataset_info": {"features": [{"name": "title", "dtype": "string"}, {"name": "content", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 125954432, "num_examples": 105252}], "download_size": 42217690, "dataset_size": 125954432}} | 2022-11-01T02:14:47+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "text_summarization_dataset2"
More Information needed | [
"# Dataset Card for \"text_summarization_dataset2\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"text_summarization_dataset2\"\n\nMore Information needed"
] | [
6,
19
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"text_summarization_dataset2\"\n\nMore Information needed"
] |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.