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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
d5ef945611040f7f760e02abfdc05be74b01edbe | # namu.wiki database dump
##
https://namu.wiki/ database dump 2022/03/01<br/>
- 571308rows
- download size: 2.19GB
## ์ฃผ์์ฌํญ
namu-wiki-extractor๋ฅผ ์ด์ฉํ์ฌ ์ ์ฒ๋ฆฌ, ์ถ๊ฐ๋ก ์๋ ์ ์ฒ๋ฆฌ๋ฅผ ์ํํ์ต๋๋ค
1. ํค๋ ์ ๊ฑฐ `== ๊ฐ์ ==`
1. ํ
์ด๋ธ ์ ๊ฑฐ
1. `[age(1997-01-01)]` ๋ ์ ์ฒ๋ฆฌ ์์ ๊ธฐ์ค์ผ๋ก ์ ์ฉ(2022๋
10์ 2์ผ)
1. `[math(a / b + c)]` ๋ ์ ๊ฑฐํ์ง ์์.
1. math ๋งํฌ๋ค์ด์ด ๊ฐ์ฃผ ๋ด์ ์์ ๊ฒฝ์ฐ, ๊ฐ... | heegyu/namuwiki-extracted | [
"task_categories:other",
"language_creators:other",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"language:ko",
"license:cc-by-nc-sa-2.0",
"region:us"
] | 2022-10-01T00:27:07+00:00 | {"language_creators": ["other"], "language": ["ko"], "license": "cc-by-nc-sa-2.0", "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "task_categories": ["other"]} | 2023-01-15T09:46:31+00:00 | [] | [
"ko"
] | TAGS
#task_categories-other #language_creators-other #multilinguality-monolingual #size_categories-100K<n<1M #language-Korean #license-cc-by-nc-sa-2.0 #region-us
| # URL database dump
##
URL database dump 2022/03/01<br/>
- 571308rows
- download size: 2.19GB
## ์ฃผ์์ฌํญ
namu-wiki-extractor๋ฅผ ์ด์ฉํ์ฌ ์ ์ฒ๋ฆฌ, ์ถ๊ฐ๋ก ์๋ ์ ์ฒ๋ฆฌ๋ฅผ ์ํํ์ต๋๋ค
1. ํค๋ ์ ๊ฑฐ '== ๊ฐ์ =='
1. ํ
์ด๋ธ ์ ๊ฑฐ
1. '[age(1997-01-01)]' ๋ ์ ์ฒ๋ฆฌ ์์ ๊ธฐ์ค์ผ๋ก ์ ์ฉ(2022๋
10์ 2์ผ)
1. '[math(a / b + c)]' ๋ ์ ๊ฑฐํ์ง ์์.
1. math ๋งํฌ๋ค์ด์ด ๊ฐ์ฃผ ๋ด์ ์์ ๊ฒฝ์ฐ, ๊ฐ์ฃผ๊ฐ ์ ์ฒ๋ฆฌ๋์ง ์์ ๋ฌธ์ ์์.
... | [
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์ด๋ธ ์ ๊ฑฐ\n1. '[age(1997-01-01)]' ๋ ์ ์ฒ๋ฆฌ ์์ ๊ธฐ์ค์ผ๋ก ์ ์ฉ(2022๋
10์ 2์ผ)\n1. '[math(a / b + c)]' ๋ ์ ๊ฑฐํ์ง ์์.\n1. math ๋งํฌ๋ค์ด์ด ๊ฐ์ฃผ ๋ด์ ์์ ๊ฒฝ์ฐ, ๊ฐ์ฃผ๊ฐ ์ ์ฒ๋ฆฌ๋์ง ์์ ๋ฌธ์ ์์.",
"## Usage"
] | [
"TAGS\n#task_categories-other #language_creators-other #multilinguality-monolingual #size_categories-100K<n<1M #language-Korean #license-cc-by-nc-sa-2.0 #region-us \n",
"# URL database dump",
"## ์ฃผ์์ฌํญ\nnamu-wiki-extractor๋ฅผ ์ด์ฉํ์ฌ ์ ์ฒ๋ฆฌ, ์ถ๊ฐ๋ก ์๋ ์ ์ฒ๋ฆฌ๋ฅผ ์ํํ์ต๋๋ค\n1. ํค๋ ์ ๊ฑฐ '== ๊ฐ์ =='\n1. ํ
์ด๋ธ ์ ๊ฑฐ\n1. '[age(1997-01-01)]' ๋ ์ ์ฒ... | [
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"passage: TAGS\n#task_categories-other #language_creators-other #multilinguality-monolingual #size_categories-100K<n<1M #language-Korean #license-cc-by-nc-sa-2.0 #region-us \n# URL database dump## ์ฃผ์์ฌํญ\nnamu-wiki-extractor๋ฅผ ์ด์ฉํ์ฌ ์ ์ฒ๋ฆฌ, ์ถ๊ฐ๋ก ์๋ ์ ์ฒ๋ฆฌ๋ฅผ ์ํํ์ต๋๋ค\n1. ํค๋ ์ ๊ฑฐ '== ๊ฐ์ =='\n1. ํ
์ด๋ธ ์ ๊ฑฐ\n1. '[age(1997-01-01)]' ๋ ์ ์ฒ๋ฆฌ ์... |
13a03baacde282bc1573bee2963ea0ca677286d3 |
- 38,015,081 rows | heegyu/namuwiki-sentences | [
"task_categories:other",
"language_creators:other",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"language:ko",
"license:cc-by-nc-sa-2.0",
"region:us"
] | 2022-10-01T03:48:22+00:00 | {"language_creators": ["other"], "language": ["ko"], "license": "cc-by-nc-sa-2.0", "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "task_categories": ["other"]} | 2022-10-14T06:55:44+00:00 | [] | [
"ko"
] | TAGS
#task_categories-other #language_creators-other #multilinguality-monolingual #size_categories-100K<n<1M #language-Korean #license-cc-by-nc-sa-2.0 #region-us
|
- 38,015,081 rows | [] | [
"TAGS\n#task_categories-other #language_creators-other #multilinguality-monolingual #size_categories-100K<n<1M #language-Korean #license-cc-by-nc-sa-2.0 #region-us \n"
] | [
60
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] |
0e661470ee297dc7b3d13fa9e70ff4c9e96cd1a2 | # AutoTrain Dataset for project: ashwin_sentiment140dataset
## Dataset Description
This dataset has been automatically processed by AutoTrain for project ashwin_sentiment140dataset.
### Languages
The BCP-47 code for the dataset's language is en.
## Dataset Structure
### Data Instances
A sample from this dataset ... | ashwinperti/autotrain-data-ashwin_sentiment140dataset | [
"task_categories:text-classification",
"language:en",
"region:us"
] | 2022-10-01T07:39:41+00:00 | {"language": ["en"], "task_categories": ["text-classification"]} | 2022-10-01T07:40:44+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #language-English #region-us
| AutoTrain Dataset for project: ashwin\_sentiment140dataset
==========================================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project ashwin\_sentiment140dataset.
### Languages
The BCP-47 code for the dataset's langua... | [
"### 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#task_categories-text-classification #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 f... | [
21,
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"passage: TAGS\n#task_categories-text-classification #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 ... |
62787336499fc5af51407182cb354420f7cdc160 |
# Dataset Card for "IE-SemParse"
## Table of Contents
- [Dataset Card for "IE-SemParse"](#dataset-card-for-ie-semparse)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-l... | Divyanshu/IE_SemParse | [
"task_categories:text2text-generation",
"task_ids:parsing",
"annotations_creators:machine-generated",
"language_creators:machine-generated",
"multilinguality:multilingual",
"size_categories:1M<n<10M",
"source_datasets:original",
"language:as",
"language:bn",
"language:gu",
"language:hi",
"lang... | 2022-10-01T09:51:54+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["machine-generated"], "language": ["as", "bn", "gu", "hi", "kn", "ml", "mr", "or", "pa", "ta", "te"], "license": ["cc0-1.0"], "multilinguality": ["multilingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["original"], "task_categories": ["... | 2023-07-13T17:35:10+00:00 | [
"2304.13005"
] | [
"as",
"bn",
"gu",
"hi",
"kn",
"ml",
"mr",
"or",
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"ta",
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] | TAGS
#task_categories-text2text-generation #task_ids-parsing #annotations_creators-machine-generated #language_creators-machine-generated #multilinguality-multilingual #size_categories-1M<n<10M #source_datasets-original #language-Assamese #language-Bengali #language-Gujarati #language-Hindi #language-Kannada #language-... |
# Dataset Card for "IE-SemParse"
## Table of Contents
- Dataset Card for "IE-SemParse"
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset usage
- Dataset Creation
- Curation Rationale
- Source Data
- Initial Data Coll... | [
"# Dataset Card for \"IE-SemParse\"",
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"TAGS\n#task_categories-text2text-generation #task_ids-parsing #annotations_creators-machine-generated #language_creators-machine-generated #multilinguality-multilingual #size_categories-1M<n<10M #source_datasets-original #language-Assamese #language-Bengali #language-Gujarati #language-Hindi #language-Kannada #lan... | [
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338ff07c51b098d242e535cd8d7d536e873dea68 | # Dataset Card for Auditor Sentiment | ihassan1/auditor-sentiment | [
"task_categories:text-classification",
"task_ids:sentiment-scoring",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"auditor",
"financial",
"sentiment",
"markets",
"region:us"
] | 2022-10-01T14:10:00+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": [], "license": [], "multilinguality": ["monolingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-classification"], "task_ids": ["sentiment-scoring"], "pretty_name": "auditor-sentiment", "t... | 2022-10-02T07:44:54+00:00 | [] | [] | TAGS
#task_categories-text-classification #task_ids-sentiment-scoring #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #auditor #financial #sentiment #markets #region-us
| # Dataset Card for Auditor Sentiment | [
"# Dataset Card for Auditor Sentiment"
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"TAGS\n#task_categories-text-classification #task_ids-sentiment-scoring #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #auditor #financial #sentiment #markets #region-us \n",
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] |
53e379cb1f25191b32d37c43646edade37434e59 | # AutoTrain Dataset for project: oveja31
## Dataset Description
This dataset has been automatically processed by AutoTrain for project oveja31.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
```json
[
{
... | freefire31/autotrain-data-oveja31 | [
"task_categories:image-classification",
"region:us"
] | 2022-10-01T16:23:21+00:00 | {"task_categories": ["image-classification"]} | 2022-10-01T16:26:57+00:00 | [] | [] | TAGS
#task_categories-image-classification #region-us
| AutoTrain Dataset for project: oveja31
======================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project oveja31.
### Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
-----------------
### Data ... | [
"### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):",
"### Dataset Splits\n\n\nThis d... | [
"TAGS\n#task_categories-image-classification #region-us \n",
"### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
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c72b2a584cc89b468e1d54759df144dd2d08751f |
# Dataset Card for Lipogram-e
## 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... | Hellisotherpeople/one_syllable | [
"task_categories:text-generation",
"task_categories:fill-mask",
"task_ids:language-modeling",
"task_ids:masked-language-modeling",
"annotations_creators:no-annotation",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"l... | 2022-10-01T16:39:29+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-generation", "fill-mask"], "task_ids": ["language-modeling", "m... | 2022-10-01T16:46:42+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #task_categories-fill-mask #task_ids-language-modeling #task_ids-masked-language-modeling #annotations_creators-no-annotation #language_creators-expert-generated #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-mit #sylla... |
# Dataset Card for Lipogram-e
## 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... | [
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dd14ef9eaf8a803cc68cec01f9fc7d353d162264 | ํ๊ตญ์ด ์ํคํผ๋์ article ๋คํ(20221001)
- 1334694 rows
- download size: 474MB
```python
from datasets import load_dataset
ds = load_dataset("heegyu/kowikitext", "20221001")
ds["train"][0]
```
```
{'id': '5',
'revid': '595831',
'url': 'https://ko.wikipedia.org/wiki?curid=5',
'title': '์ง๋ฏธ ์นดํฐ',
'text': '์ ์์ค ์ผ ์นดํฐ ์ฃผ๋์ด(, 1924๋
... | heegyu/kowikitext | [
"license:cc-by-sa-3.0",
"region:us"
] | 2022-10-02T01:40:05+00:00 | {"license": "cc-by-sa-3.0"} | 2022-10-02T04:07:59+00:00 | [] | [] | TAGS
#license-cc-by-sa-3.0 #region-us
| ํ๊ตญ์ด ์ํคํผ๋์ article ๋คํ(20221001)
- 1334694 rows
- download size: 474MB
| [] | [
"TAGS\n#license-cc-by-sa-3.0 #region-us \n"
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17
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"passage: TAGS\n#license-cc-by-sa-3.0 #region-us \n"
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c7775ee196a6b7fd3ef1b2d74ee0be731ff1edf5 | 
![IMG_5594.jpg](https://s3.amazonaws.com/moonup/production/uploads/1664689743312-63391346a806650bd038c... | halo1998/yo | [
"region:us"
] | 2022-10-02T04:41:14+00:00 | {} | 2022-10-02T04:50:35+00:00 | [] | [] | TAGS
#region-us
| !URL
!URL
!IMG_5594.jpg
!URL
| [] | [
"TAGS\n#region-us \n"
] | [
6
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b281fecc25a04fc100389a93fce9d835bf9ec347 | imagenes logo del real union tenerife
license: other
---
| ricewind/logo-union | [
"region:us"
] | 2022-10-02T09:59:07+00:00 | {} | 2022-10-02T10:13:10+00:00 | [] | [] | TAGS
#region-us
| imagenes logo del real union tenerife
license: other
---
| [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
419747e72470311563b3b35b9c178dc69e3ab116 | # Dataset Card for WikiANN
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- ... | Llamacha/ner_quechua_iic | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"annotations_creators:crowdsourced",
"size_categories:n<1K",
"source_datasets:original",
"language:qu",
"license:apache-2.0",
"region:us"
] | 2022-10-02T13:00:17+00:00 | {"annotations_creators": ["crowdsourced"], "language": ["qu"], "license": ["apache-2.0"], "size_categories": ["n<1K"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognition"]} | 2022-10-02T13:19:29+00:00 | [] | [
"qu"
] | TAGS
#task_categories-token-classification #task_ids-named-entity-recognition #annotations_creators-crowdsourced #size_categories-n<1K #source_datasets-original #language-Quechua #license-apache-2.0 #region-us
| # Dataset Card for WikiANN
## 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 Informa... | [
"# Dataset Card for WikiANN",
"## 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 - Persona... | [
"TAGS\n#task_categories-token-classification #task_ids-named-entity-recognition #annotations_creators-crowdsourced #size_categories-n<1K #source_datasets-original #language-Quechua #license-apache-2.0 #region-us \n",
"# Dataset Card for WikiANN",
"## Table of Contents\n- Dataset Description\n - Dataset Summary... | [
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"passage: TAGS\n#task_categories-token-classification #task_ids-named-entity-recognition #annotations_creators-crowdsourced #size_categories-n<1K #source_datasets-original #language-Quechua #license-apache-2.0 #region-us \n# Dataset Card for WikiANN## Table of Contents\n- Dataset Description\n - Dataset Summary\n ... |
d13f750950ca7a5cf0f2931a6e315b0ea3fc30e3 | # To download:
- from datasets import load_dataset
- uz_dev = load_dataset("Sanatbek/uzbek-kazakh-parallel-corpora", split="train[:13373]") (*10%*)
- uz_test = load_dataset("Sanatbek/uzbek-kazakh-parallel-corpora", split="train[13374:40120]") (*20%*)
- uz_train = load_dataset("Sanatbek/uzbek-kazakh-parallel-corp... | Sanatbek/uzbek-kazakh-parallel-corpora | [
"doi:10.57967/hf/1748",
"region:us"
] | 2022-10-02T17:43:18+00:00 | {} | 2023-08-02T21:27:43+00:00 | [] | [] | TAGS
#doi-10.57967/hf/1748 #region-us
| # To download:
- from datasets import load_dataset
- uz_dev = load_dataset("Sanatbek/uzbek-kazakh-parallel-corpora", split="train[:13373]") (*10%*)
- uz_test = load_dataset("Sanatbek/uzbek-kazakh-parallel-corpora", split="train[13374:40120]") (*20%*)
- uz_train = load_dataset("Sanatbek/uzbek-kazakh-parallel-corp... | [
"# To download: \n- from datasets import load_dataset\n- uz_dev = load_dataset(\"Sanatbek/uzbek-kazakh-parallel-corpora\", split=\"train[:13373]\") (*10%*)\n- uz_test = load_dataset(\"Sanatbek/uzbek-kazakh-parallel-corpora\", split=\"train[13374:40120]\") (*20%*)\n- uz_train = load_dataset(\"Sanatbek/uzbek-ka... | [
"TAGS\n#doi-10.57967/hf/1748 #region-us \n",
"# To download: \n- from datasets import load_dataset\n- uz_dev = load_dataset(\"Sanatbek/uzbek-kazakh-parallel-corpora\", split=\"train[:13373]\") (*10%*)\n- uz_test = load_dataset(\"Sanatbek/uzbek-kazakh-parallel-corpora\", split=\"train[13374:40120]\") (*20%*)... | [
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"passage: TAGS\n#doi-10.57967/hf/1748 #region-us \n# To download: \n- from datasets import load_dataset\n- uz_dev = load_dataset(\"Sanatbek/uzbek-kazakh-parallel-corpora\", split=\"train[:13373]\") (*10%*)\n- uz_test = load_dataset(\"Sanatbek/uzbek-kazakh-parallel-corpora\", split=\"train[13374:40120]\") (*20... |
116f94359b7479e58f21e746b3ab6a301c756275 |
---
annotations_creators:
- expert-generated
language:
- lse
language_creators:
- expert-generated
license:
- mit
multilinguality:
- monolingual
pretty_name: LSE_eSaude_UVIGO_OSLWL
size_categories:
- n<1K
source_datasets:
- original
tags:
- sign spotting
- sign language recognition
- lse
task_categories:
- other
task... | mvazquez/LSE_eSaude_UVIGO_OSLWL | [
"region:us"
] | 2022-10-02T18:30:38+00:00 | {} | 2022-10-02T18:35:04+00:00 | [] | [] | TAGS
#region-us
|
---
annotations_creators:
- expert-generated
language:
- lse
language_creators:
- expert-generated
license:
- mit
multilinguality:
- monolingual
pretty_name: LSE_eSaude_UVIGO_OSLWL
size_categories:
- n<1K
source_datasets:
- original
tags:
- sign spotting
- sign language recognition
- lse
task_categories:
- other
task... | [
"# Dataset Card for LSE_eSaude_UVIGO_OSLWL",
"## 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 - Sourc... | [
"TAGS\n#region-us \n",
"# Dataset Card for LSE_eSaude_UVIGO_OSLWL",
"## 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 - Cura... | [
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d58dec86dc1e680d142ec8e108ed48d06da35188 |
---
annotations_creators:
- expert-generated
language:
- lse
language_creators:
- expert-generated
license:
- mit
multilinguality:
- monolingual
pretty_name:
- LSE_eSaude_UVIGO_MSSL
size_categories:
- n<1K
source_datasets:
- original
tags:
- sign spotting
- sign language recognition
- lse
task_categories:
- other
ta... | mvazquez/LSE_eSaude_UVIGO_MSSL | [
"region:us"
] | 2022-10-02T18:48:09+00:00 | {} | 2022-10-02T21:17:37+00:00 | [] | [] | TAGS
#region-us
|
---
annotations_creators:
- expert-generated
language:
- lse
language_creators:
- expert-generated
license:
- mit
multilinguality:
- monolingual
pretty_name:
- LSE_eSaude_UVIGO_MSSL
size_categories:
- n<1K
source_datasets:
- original
tags:
- sign spotting
- sign language recognition
- lse
task_categories:
- other
ta... | [
"# Dataset Card for LSE_eSaude_UVIGO_MSSL",
"## 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... | [
"TAGS\n#region-us \n",
"# Dataset Card for LSE_eSaude_UVIGO_MSSL",
"## 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 - Curat... | [
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6de8dd2b91461cce9dced4559e570b72c042bb13 |
please use the following code to load data:
```python
# start data loading
!git lfs install
!git clone https://huggingface.co/datasets/nlp-guild/non-linear-classification
def load_dataset(path='dataset.npy'):
"""
:return:
f_and_xs: numpy array of size [sample_number, channels, sample_length]
... | nlp-guild/non-linear-classification | [
"license:mit",
"region:us"
] | 2022-10-02T19:13:16+00:00 | {"license": "mit"} | 2023-04-14T11:49:37+00:00 | [] | [] | TAGS
#license-mit #region-us
|
please use the following code to load data:
| [] | [
"TAGS\n#license-mit #region-us \n"
] | [
11
] | [
"passage: TAGS\n#license-mit #region-us \n"
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e93ef8a7d61d58ce27df4f12bfa62f4f804b3029 |
Approx 144K tweets about iPhone 14 | Kkoustubh/iPhone14Tweets | [
"license:cc",
"region:us"
] | 2022-10-02T19:31:17+00:00 | {"license": "cc"} | 2022-10-02T19:33:12+00:00 | [] | [] | TAGS
#license-cc #region-us
|
Approx 144K tweets about iPhone 14 | [] | [
"TAGS\n#license-cc #region-us \n"
] | [
11
] | [
"passage: TAGS\n#license-cc #region-us \n"
] |
127bfedcd5047750df5ccf3a12979a47bfa0bafa |
The first 10K elements of [The Pile](https://pile.eleuther.ai/), useful for debugging models trained on it. See the [HuggingFace page for the full Pile](https://huggingface.co/datasets/the_pile) for more info. Inspired by [stas' great resource](https://huggingface.co/datasets/stas/openwebtext-10k) doing the same for O... | NeelNanda/pile-10k | [
"license:bigscience-bloom-rail-1.0",
"region:us"
] | 2022-10-02T19:59:26+00:00 | {"license": "bigscience-bloom-rail-1.0"} | 2022-10-14T20:27:22+00:00 | [] | [] | TAGS
#license-bigscience-bloom-rail-1.0 #region-us
|
The first 10K elements of The Pile, useful for debugging models trained on it. See the HuggingFace page for the full Pile for more info. Inspired by stas' great resource doing the same for OpenWebText | [] | [
"TAGS\n#license-bigscience-bloom-rail-1.0 #region-us \n"
] | [
19
] | [
"passage: TAGS\n#license-bigscience-bloom-rail-1.0 #region-us \n"
] |
b0f26da4cf74e72ac9e6e1d8532a6b9abbe13b81 | dxs | doorfromenchumto/Zuzulinda | [
"region:us"
] | 2022-10-02T21:29:55+00:00 | {} | 2022-10-08T22:12:36+00:00 | [] | [] | TAGS
#region-us
| dxs | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
813bd03cd6e07d9bd8d7333896ad5d40abb95ea9 |
# Dataset Card for "Balanced COPA"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-inst... | pkavumba/balanced-copa | [
"task_categories:question-answering",
"task_ids:multiple-choice-qa",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:extended|copa",
"language:en",
"license:cc-by-4.0",
"region:us"
] | 2022-10-02T23:33:09+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["unknown"], "source_datasets": ["extended|copa"], "task_categories": ["question-answering"], "task_ids": ["multiple-choice-qa"],... | 2022-10-02T23:39:01+00:00 | [] | [
"en"
] | TAGS
#task_categories-question-answering #task_ids-multiple-choice-qa #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-unknown #source_datasets-extended|copa #language-English #license-cc-by-4.0 #region-us
| Dataset Card for "Balanced COPA"
================================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
... | [
"### Dataset Summary\n\n\nBala-COPA: An English language Dataset for Training Robust Commonsense Causal Reasoning Models\n\n\nThe Balanced Choice of Plausible Alternatives dataset is a benchmark for training machine learning models that are robust to superficial cues/spurious correlations. The dataset extends the C... | [
"TAGS\n#task_categories-question-answering #task_ids-multiple-choice-qa #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-unknown #source_datasets-extended|copa #language-English #license-cc-by-4.0 #region-us \n",
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349a71353fd5868fb90b593ef09e311379da498a |
# Dataset Card for The Stack
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Changelog](#changelog)
- [Dataset Summary](#dataset-summary)
- [S... | bigcode/the-stack | [
"task_categories:text-generation",
"language_creators:crowdsourced",
"language_creators:expert-generated",
"multilinguality:multilingual",
"size_categories:unknown",
"language:code",
"license:other",
"arxiv:2211.15533",
"arxiv:2107.03374",
"arxiv:2207.14157",
"region:us"
] | 2022-10-03T02:34:54+00:00 | {"annotations_creators": [], "language_creators": ["crowdsourced", "expert-generated"], "language": ["code"], "license": ["other"], "multilinguality": ["multilingual"], "size_categories": ["unknown"], "source_datasets": [], "task_categories": ["text-generation"], "task_ids": [], "pretty_name": "The-Stack", "extra_gated... | 2023-04-13T11:15:50+00:00 | [
"2211.15533",
"2107.03374",
"2207.14157"
] | [
"code"
] | TAGS
#task_categories-text-generation #language_creators-crowdsourced #language_creators-expert-generated #multilinguality-multilingual #size_categories-unknown #language-code #license-other #arxiv-2211.15533 #arxiv-2107.03374 #arxiv-2207.14157 #region-us
| Dataset Card for The Stack
==========================
!infographic
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Changelog
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
+ How to use it
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* D... | [
"### Changelog",
"### Dataset Summary\n\n\nThe Stack contains over 6TB of permissively-licensed source code files covering 358 programming languages. The dataset was created as part of the BigCode Project, an open scientific collaboration working on the responsible development of Large Language Models for Code (C... | [
"TAGS\n#task_categories-text-generation #language_creators-crowdsourced #language_creators-expert-generated #multilinguality-multilingual #size_categories-unknown #language-code #license-other #arxiv-2211.15533 #arxiv-2107.03374 #arxiv-2207.14157 #region-us \n",
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f6e0fcd3a4171e2a9a2656f58cb50b9aba5fbba5 |
# Dataset Card for BLURB
## Dataset Description
- **Homepage:** https://microsoft.github.io/BLURB/tasks.html
- **Pubmed:** True
- **Public:** True
- **Tasks:** NER
BLURB is a collection of resources for biomedical natural language processing.
In general domains, such as newswire and the Web, comprehensive benchma... | bigbio/blurb | [
"multilinguality:monolingual",
"language:en",
"license:other",
"region:us"
] | 2022-10-03T05:19:58+00:00 | {"language": ["en"], "license": "other", "multilinguality": "monolingual", "pretty_name": "BLURB", "bigbio_language": ["English"], "bigbio_license_shortname": "MIXED", "homepage": "https://microsoft.github.io/BLURB/tasks.html", "bigbio_pubmed": true, "bigbio_public": true, "bigbio_tasks": ["NAMED_ENTITY_RECOGNITION"]} | 2022-12-22T15:27:48+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #language-English #license-other #region-us
|
# Dataset Card for BLURB
## Dataset Description
- Homepage: URL
- Pubmed: True
- Public: True
- Tasks: NER
BLURB is a collection of resources for biomedical natural language processing.
In general domains, such as newswire and the Web, comprehensive benchmarks and
leaderboards such as GLUE have greatly accelerat... | [
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"## Dataset Description\n\n- Homepage: URL\n- Pubmed: True\n- Public: True\n- Tasks: NER\n\nBLURB is a collection of resources for biomedical natural language processing. \nIn general domains, such as newswire and the Web, comprehensive benchmarks and \nleaderboards such as GLUE have g... | [
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"## Dataset Description\n\n- Homepage: URL\n- Pubmed: True\n- Public: True\n- Tasks: NER\n\nBLURB is a collection of resources for biomedical natural language processing. \nIn general domains, such a... | [
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"passage: TAGS\n#multilinguality-monolingual #language-English #license-other #region-us \n# Dataset Card for BLURB"
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a5599d85efeeffeab2c512a02ced7c7a5bae05f2 |
# Dataset Card for Lex Fridman Podcasts Dataset
This dataset is sourced from Andrej Karpathy's [Lexicap website](https://karpathy.ai/lexicap/) which contains English transcripts of Lex Fridman's wonderful podcast episodes. The transcripts were generated using OpenAI's large-sized [Whisper model]("https://github.com/o... | RamAnanth1/lex-fridman-podcasts | [
"task_categories:text-classification",
"task_categories:text-generation",
"task_categories:summarization",
"task_ids:sentiment-analysis",
"task_ids:dialogue-modeling",
"task_ids:language-modeling",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:n<1K",
"language:en",
"... | 2022-10-03T17:24:26+00:00 | {"language_creators": ["found"], "language": ["en"], "license": [], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "task_categories": ["text-classification", "text-generation", "summarization"], "task_ids": ["sentiment-analysis", "dialogue-modeling", "language-modeling"], "pretty_name": "Lex Fridman P... | 2022-12-17T21:39:56+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #task_categories-text-generation #task_categories-summarization #task_ids-sentiment-analysis #task_ids-dialogue-modeling #task_ids-language-modeling #language_creators-found #multilinguality-monolingual #size_categories-n<1K #language-English #region-us
|
# Dataset Card for Lex Fridman Podcasts Dataset
This dataset is sourced from Andrej Karpathy's Lexicap website which contains English transcripts of Lex Fridman's wonderful podcast episodes. The transcripts were generated using OpenAI's large-sized Whisper model | [
"# Dataset Card for Lex Fridman Podcasts Dataset\n\nThis dataset is sourced from Andrej Karpathy's Lexicap website which contains English transcripts of Lex Fridman's wonderful podcast episodes. The transcripts were generated using OpenAI's large-sized Whisper model"
] | [
"TAGS\n#task_categories-text-classification #task_categories-text-generation #task_categories-summarization #task_ids-sentiment-analysis #task_ids-dialogue-modeling #task_ids-language-modeling #language_creators-found #multilinguality-monolingual #size_categories-n<1K #language-English #region-us \n",
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3f828259fe9e47479be8a275f40368d37c42b1e7 | Pre-trained models and other files associated with the RNNG BrainScore repo. Check out the GitHub at https://github.com/benlipkin/rnng | benlipkin/rnng-brainscore | [
"license:mit",
"region:us"
] | 2022-10-03T18:36:07+00:00 | {"license": "mit"} | 2022-11-09T15:02:11+00:00 | [] | [] | TAGS
#license-mit #region-us
| Pre-trained models and other files associated with the RNNG BrainScore repo. Check out the GitHub at URL | [] | [
"TAGS\n#license-mit #region-us \n"
] | [
11
] | [
"passage: TAGS\n#license-mit #region-us \n"
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bcb26e69554574d87cc8286ed42b028183d0fc55 |
# Dataset Card for PP4AV
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Creation](#dataset-creation)
- [Source Data](#source-data)
- [Annotations](#annotations)
- [Dataset... | khaclinh/pp4av | [
"task_categories:object-detection",
"task_ids:face-detection",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:extended",
"language:en",
"license:cc-by-nc-nd-4.0",
"license-plate-detection",
"region:u... | 2022-10-03T19:28:17+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["en"], "license": ["cc-by-nc-nd-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["extended"], "task_categories": ["object-detection"], "task_ids": ["face-detection"], "pretty_name":... | 2022-10-26T03:19:10+00:00 | [] | [
"en"
] | TAGS
#task_categories-object-detection #task_ids-face-detection #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-extended #language-English #license-cc-by-nc-nd-4.0 #license-plate-detection #region-us
|
# Dataset Card for PP4AV
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Languages
- Dataset Creation
- Source Data
- Annotations
- Dataset folder
- Personal and Sensitive Information
- Dataset Structure
- Data Instances
- Data Fields
- Considerations for Using the D... | [
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c9f2154be6ce8a9b9c3b6dd00b05ca4117a5e400 | # AutoTrain Dataset for project: fake-news
## Dataset Description
This dataset has been automatically processed by AutoTrain for project fake-news.
### Languages
The BCP-47 code for the dataset's language is en.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
```json
[
{
... | suresh-subramanian/autotrain-data-fake-news | [
"task_categories:text-classification",
"language:en",
"region:us"
] | 2022-10-03T21:01:24+00:00 | {"language": ["en"], "task_categories": ["text-classification"]} | 2022-10-03T21:04:02+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #language-English #region-us
| AutoTrain Dataset for project: fake-news
========================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project fake-news.
### Languages
The BCP-47 code for the dataset's language is en.
Dataset Structure
-----------------
### ... | [
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"### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):",
"### Dataset Splits\n\n\nThis da... | [
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b656e8f759a97d1f6fd94b89936954b5e8e537ac |
ๆถ้ไธญๆไนฆ็ฑๆป่ฎก14363ๆฌ๏ผ็จไบๅญฆๆฏ็ ็ฉถๅๅทฅไธ็ไบงไฝฟ็จ๏ผไนฆ็ฑๆ็ปญๆถๅฝไธญ๏ผๅไธ่ดก็ฎ่ฏท็งปๆญฅ[ไปฃ็ ไปๅบ](https://github.com/shjwudp/shu)ใ
The dataset constructed from Chinese books. Books are being collected continuously. Please move to [code warehouse](https://github.com/shjwudp/shu) to contribute.
| shjwudp/shu | [
"language:zh",
"license:cc-by-4.0",
"region:us"
] | 2022-10-04T05:49:05+00:00 | {"language": "zh", "license": "cc-by-4.0"} | 2023-06-18T09:58:32+00:00 | [] | [
"zh"
] | TAGS
#language-Chinese #license-cc-by-4.0 #region-us
|
ๆถ้ไธญๆไนฆ็ฑๆป่ฎก14363ๆฌ๏ผ็จไบๅญฆๆฏ็ ็ฉถๅๅทฅไธ็ไบงไฝฟ็จ๏ผไนฆ็ฑๆ็ปญๆถๅฝไธญ๏ผๅไธ่ดก็ฎ่ฏท็งปๆญฅไปฃ็ ไปๅบใ
The dataset constructed from Chinese books. Books are being collected continuously. Please move to code warehouse to contribute.
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] | [
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90cf503c83a03984f6f2a6750639c7f58a0833d5 | 5381607451 oya clne eke lidar rp gahala dennam kiyala gaththa echchrama thama oyata mathaka athi uwa | chamuditha/szasw | [
"region:us"
] | 2022-10-04T06:41:03+00:00 | {} | 2022-10-04T06:41:39+00:00 | [] | [] | TAGS
#region-us
| 5381607451 oya clne eke lidar rp gahala dennam kiyala gaththa echchrama thama oyata mathaka athi uwa | [] | [
"TAGS\n#region-us \n"
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95dd4ccbc4bc09e0c99e374f99a1e15f444acaf5 | # 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: ChuVN/longformer-base-4096-finetuned-squad2-length-1024-128window
* Dataset: squad_v2
* Config: squad_v2
... | autoevaluate/autoeval-eval-squad_v2-squad_v2-8571ec-1652758608 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-04T08:25:28+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "ChuVN/longformer-base-4096-finetuned-squad2-length-1024-128window", "metrics": [], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validatio... | 2022-10-04T08:42:23+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: ChuVN/longformer-base-4096-finetuned-squad2-length-1024-128window
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new eval... | [
"# 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: ChuVN/longformer-base-4096-finetuned-squad2-length-1024-128window\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: validation\n\n... | [
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fdbfb7c35482e11fbaeab6d4905b2679327a19b3 | # 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: Palak/xlm-roberta-base_squad
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evalu... | autoevaluate/autoeval-eval-squad_v2-squad_v2-8571ec-1652758610 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-04T08:25:41+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "Palak/xlm-roberta-base_squad", "metrics": [], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_mapping": {"context": "conte... | 2022-10-04T08:28:54+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: Question Answering
* Model: Palak/xlm-roberta-base_squad
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Face's aut... | [
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0be5cbce4748125b4f1860a3dc90f2c89a852321 | # 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: SupriyaArun/bert-base-uncased-finetuned-squad
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
... | autoevaluate/autoeval-eval-squad_v2-squad_v2-8571ec-1652758611 | [
"autotrain",
"evaluation",
"region:us"
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: SupriyaArun/bert-base-uncased-finetuned-squad
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit H... | [
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e0fb058fe85c2d3d6f9135ff6400df42f646fdda | # 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: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluat... | autoevaluate/autoeval-eval-squad_v2-squad_v2-8571ec-1652758612 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-04T08:25:54+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "SiraH/bert-finetuned-squad", "metrics": [], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_mapping": {"context": "context... | 2022-10-04T08:28:54+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: Question Answering
* Model: SiraH/bert-finetuned-squad
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Face's autom... | [
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83e32e07ee901f7b6153c3e0d607086b71f0c5cc | # 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: Paul-Vinh/bert-base-multilingual-cased-finetuned-squad
* Dataset: squad_v2
* Config: squad_v2
* Split: va... | autoevaluate/autoeval-eval-squad_v2-squad_v2-8571ec-1652758613 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-04T08:26:01+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "Paul-Vinh/bert-base-multilingual-cased-finetuned-squad", "metrics": [], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_ma... | 2022-10-04T08:29:08+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: Paul-Vinh/bert-base-multilingual-cased-finetuned-squad
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs... | [
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9f16d72a6db9ff9c6d67d92f2cea347459a05362 | # 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: Palak/microsoft_deberta-base_squad
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new... | autoevaluate/autoeval-eval-squad_v2-squad_v2-8571ec-1652758614 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-04T08:26:09+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "Palak/microsoft_deberta-base_squad", "metrics": [], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_mapping": {"context": ... | 2022-10-04T08:30:00+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: Palak/microsoft_deberta-base_squad
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Face... | [
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02c96fa323a571539245c92428dc06a7e0da1cd1 | # 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: Sangita/distilbert-base-uncased-finetuned-squad
* Dataset: squad_v2
* Config: squad_v2
* Split: validatio... | autoevaluate/autoeval-eval-squad_v2-squad_v2-8571ec-1652758615 | [
"autotrain",
"evaluation",
"region:us"
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: Sangita/distilbert-base-uncased-finetuned-squad
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit... | [
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5e638585d3d005f0fbbcc40471618f1d39c25c1a | # 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: Plimpton/distilbert-base-uncased-finetuned-squad
* Dataset: squad_v2
* Config: squad_v2
* Split: validati... | autoevaluate/autoeval-eval-squad_v2-squad_v2-8571ec-1652758616 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: Plimpton/distilbert-base-uncased-finetuned-squad
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visi... | [
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fcc9866d0841a9d1eac276f2a53d0d9c5c584ad3 | # 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: Neulvo/bert-finetuned-squad
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evalua... | autoevaluate/autoeval-eval-squad_v2-squad_v2-8571ec-1652758617 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-04T08:26:28+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "Neulvo/bert-finetuned-squad", "metrics": [], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_mapping": {"context": "contex... | 2022-10-04T08:29:27+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
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* Config: squad_v2
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b0e4884ec8ea6ef65e22f7409f3962060c4ae169 | annotations_creators:
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language:
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language_creators:
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license:
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pretty_name: "Libert\xE8 d'action by Heiner Goebbels"
size_categories:
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tags: []
task_categories:
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| Gr3en/Goebbels_Liberte_daction | [
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language:
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6dfd409e61158ef29abfcc842f77136121575c8c |
# Dataset Card for [Dataset Name]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-st... | Besedo/artificial_weapon | [
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012100364d6f85657f203a149120dfd46943e366 |
# Dataset Card for [Dataset Name]
## Table of Contents
- [Table of Contents](#table-of-contents)
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- [Dataset Structure](#dataset-st... | Tidrael/test2 | [
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# Dataset Card for [Dataset Name]
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2417b2b6d421eb45345432b59fcee4f0ba35f076 |
# Historic book pages illustration weak annotations | ImageIN/unlabelled_IA_with_snorkel_labels | [
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692431acca4c0d0083707c61252653fa457f227a | # 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: bigscience/bloom-3b
* Dataset: mathemakitten/winobias_antistereotype_test
* Config: mathemakit... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test-mathemakitt-c793f9-1654758678 | [
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] | 2022-10-04T11:33:51+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["mathemakitten/winobias_antistereotype_test"], "eval_info": {"task": "text_zero_shot_classification", "model": "bigscience/bloom-3b", "metrics": [], "dataset_name": "mathemakitten/winobias_antistereotype_test", "dataset_config": "mathemakitten--w... | 2022-10-04T11:40:31+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: bigscience/bloom-3b
* Dataset: mathemakitten/winobias_antistereotype_test
* Config: mathemakitten--winobias_antistereotype_test
* ... | [
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9e8bc5b80994625bda48f6d10257b2d79469e6be | # AutoTrain Dataset for project: person-name-validity1
## Dataset Description
This dataset has been automatically processed by AutoTrain for project person-name-validity1.
### Languages
The BCP-47 code for the dataset's language is en.
## Dataset Structure
### Data Instances
A sample from this dataset looks as f... | Akshata/autotrain-data-person-name-validity1 | [
"language:en",
"region:us"
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#language-English #region-us
| AutoTrain Dataset for project: person-name-validity1
====================================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project person-name-validity1.
### Languages
The BCP-47 code for the dataset's language is en.
Datase... | [
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bb04f34922b6bdd2a6fce9eb6872610cfb65a25b | # 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 Image Classification
* Model: NimaBoscarino/dog_food
* Dataset: lewtun/dog_food
* Config: lewtun--dog_food
* Split: test
... | autoevaluate/autoeval-eval-lewtun__dog_food-lewtun__dog_food-7ca01a-1656458705 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Multi-class Image Classification
* Model: NimaBoscarino/dog_food
* Dataset: lewtun/dog_food
* Config: lewtun--dog_food
* Split: test
To run new evaluation jobs, visit H... | [
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8d258c6b7fb4cb8d29e9b2aa6de7f586c943cb9e |
# Dataset Card for Dataset Name
This dataset contains historic newspapers from [Europeana](https://pro.europeana.eu/page/iiif#download). In total the collection has ~32 Billion tokens. Documentation for this dataset is a WIP.
This dataset card aims to be a base template for new datasets. It has been generated us... | biglam/europeana_newspapers | [
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... | 2022-10-04T15:31:37+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["machine-generated"], "language": ["de", "fr", "el", "et", "fi", "hr", "ji", "pl", "ru", "sr", "sv", "uk"], "multilinguality": ["multilingual"], "size_categories": ["1M<n<10M"], "source_datasets": [], "task_categories": ["text-generation"], "task_ids": [... | 2024-01-31T10:20:48+00:00 | [] | [
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# Dataset Card for Dataset Name
This dataset contains historic newspapers from Europeana. In total the collection has ~32 Billion tokens. Documentation for this dataset is a WIP.
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## Dataset Details
###... | [
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# Dataset Card for OLM September 2022 Wikipedia
Pretraining dataset, created with the OLM repo [here](https://github.com/huggingface/olm-datasets) from a September 2022 Wikipedia snapshot. | olm/olm-wikipedia-20220920 | [
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# Dataset Card for OLM September 2022 Wikipedia
Pretraining dataset, created with the OLM repo here from a September 2022 Wikipedia snapshot. | [
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b92cb55de6dbc580e22f0500daa842d45cd61c16 | prueba | irving777/prueba2022 | [
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57e9c34c85ad91712cfbf21ad43d20e4c9f0190c |
# Dataset Card for Wikipedia
This repo is a fork of the original Hugging Face Wikipedia repo [here](https://huggingface.co/datasets/wikipedia).
The difference is that this fork does away with the need for `apache-beam`, and this fork is very fast if you have a lot of CPUs on your machine.
It will use all CPUs availab... | olm/wikipedia | [
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#task_categories-text-generation #task_categories-fill-mask #task_ids-language-modeling #task_ids-masked-language-modeling #annotations_creators-no-annotation #language_creators-crowdsourced #multilinguality-multilingual #size_categories-n<1K #size_categories-1K<n<10K #size_categories-10K<n<100K #size_categories-1... |
# Dataset Card for Wikipedia
This repo is a fork of the original Hugging Face Wikipedia repo here.
The difference is that this fork does away with the need for 'apache-beam', and this fork is very fast if you have a lot of CPUs on your machine.
It will use all CPUs available to create a clean Wikipedia pretraining da... | [
"# Dataset Card for Wikipedia\n\nThis repo is a fork of the original Hugging Face Wikipedia repo here.\nThe difference is that this fork does away with the need for 'apache-beam', and this fork is very fast if you have a lot of CPUs on your machine.\nIt will use all CPUs available to create a clean Wikipedia pretra... | [
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a71c13073357a8fdb018f9abd0e4d6ef92d62564 | # 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: fabriceyhc/bert-base-uncased-amazon_polarity
* Dataset: amazon_polarity
* Config: amazon_polarity... | autoevaluate/autoeval-eval-amazon_polarity-amazon_polarity-b95081-1665358869 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-05T03:48:39+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["amazon_polarity"], "eval_info": {"task": "binary_classification", "model": "fabriceyhc/bert-base-uncased-amazon_polarity", "metrics": [], "dataset_name": "amazon_polarity", "dataset_config": "amazon_polarity", "dataset_split": "test", "col_mappi... | 2022-10-05T04:15:47+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: Binary Text Classification
* Model: fabriceyhc/bert-base-uncased-amazon_polarity
* Dataset: amazon_polarity
* Config: amazon_polarity
* Split: test
To run new evaluatio... | [
"# 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: fabriceyhc/bert-base-uncased-amazon_polarity\n* Dataset: amazon_polarity\n* Config: amazon_polarity\n* Split: test\n\nTo ru... | [
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"# 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: fabriceyhc/bert-base-uncased-amazon_polarity\n* Dataset: amazon_polarity\n*... | [
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44f145b3b28189b11935960a93aa3e76b1e9e726 | # 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-2.7b
* Dataset: jeffdshen/inverse_superglue_mixedp1
* Config: jeffdshen--inverse_... | autoevaluate/autoeval-eval-jeffdshen__inverse_superglue_mixedp1-jeffdshen__inverse-63643c-1665558893 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-05T04:27:21+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["jeffdshen/inverse_superglue_mixedp1"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-2.7b", "metrics": [], "dataset_name": "jeffdshen/inverse_superglue_mixedp1", "dataset_config": "jeffdshen--inverse_superglue_mix... | 2022-10-05T04:55:33+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-2.7b
* Dataset: jeffdshen/inverse_superglue_mixedp1
* Config: jeffdshen--inverse_superglue_mixedp1
* Split: train
To... | [
"# 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-2.7b\n* Dataset: jeffdshen/inverse_superglue_mixedp1\n* Config: jeffdshen--inverse_superglue_mixedp1\n* Spl... | [
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"# 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-2.7b\n* Dataset: jeffdshen/inverse_superglue_mixedp1\n* Con... | [
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1b52ca9bd1605f656a9bfe87dd52acd79f2ffe6d | # 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-350m
* Dataset: jeffdshen/inverse_superglue_mixedp1
* Config: jeffdshen--inverse_... | autoevaluate/autoeval-eval-jeffdshen__inverse_superglue_mixedp1-jeffdshen__inverse-63643c-1665558891 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-05T04:27:24+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["jeffdshen/inverse_superglue_mixedp1"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-350m", "metrics": [], "dataset_name": "jeffdshen/inverse_superglue_mixedp1", "dataset_config": "jeffdshen--inverse_superglue_mix... | 2022-10-05T04:34:22+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-350m
* Dataset: jeffdshen/inverse_superglue_mixedp1
* Config: jeffdshen--inverse_superglue_mixedp1
* Split: train
To... | [
"# 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-350m\n* Dataset: jeffdshen/inverse_superglue_mixedp1\n* Config: jeffdshen--inverse_superglue_mixedp1\n* Spl... | [
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"# 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-350m\n* Dataset: jeffdshen/inverse_superglue_mixedp1\n* Con... | [
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ba0d49ac8757d6430e8154b7cce13c9fa42393ea | # 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-125m
* Dataset: jeffdshen/inverse_superglue_mixedp1
* Config: jeffdshen--inverse_... | autoevaluate/autoeval-eval-jeffdshen__inverse_superglue_mixedp1-jeffdshen__inverse-63643c-1665558890 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-05T04:27:27+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["jeffdshen/inverse_superglue_mixedp1"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-125m", "metrics": [], "dataset_name": "jeffdshen/inverse_superglue_mixedp1", "dataset_config": "jeffdshen--inverse_superglue_mix... | 2022-10-05T04:31:30+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: facebook/opt-125m
* Dataset: jeffdshen/inverse_superglue_mixedp1
* Config: jeffdshen--inverse_superglue_mixedp1
* Split: train
To... | [
"# 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-125m\n* Dataset: jeffdshen/inverse_superglue_mixedp1\n* Config: jeffdshen--inverse_superglue_mixedp1\n* Spl... | [
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"# 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-125m\n* Dataset: jeffdshen/inverse_superglue_mixedp1\n* Con... | [
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"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-125m\n* Dataset: jeffdshen/inverse_superglue_mixedp1\n* ... |
2bedee7c768cc95bc5e9b0113e04ecaa05b21806 | # 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: jeffdshen/inverse_superglue_mixedp1
* Config: jeffdshen--inverse_... | autoevaluate/autoeval-eval-jeffdshen__inverse_superglue_mixedp1-jeffdshen__inverse-63643c-1665558894 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-05T04:27:27+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["jeffdshen/inverse_superglue_mixedp1"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-6.7b", "metrics": [], "dataset_name": "jeffdshen/inverse_superglue_mixedp1", "dataset_config": "jeffdshen--inverse_superglue_mix... | 2022-10-05T05:31:15+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: jeffdshen/inverse_superglue_mixedp1
* Config: jeffdshen--inverse_superglue_mixedp1
* Split: train
To... | [
"# 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: jeffdshen/inverse_superglue_mixedp1\n* Config: jeffdshen--inverse_superglue_mixedp1\n* Spl... | [
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"# 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: jeffdshen/inverse_superglue_mixedp1\n* Con... | [
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b64672a495f18d07ff8fe4469ef5a97a5e1f9a53 | # 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-1.3b
* Dataset: jeffdshen/inverse_superglue_mixedp1
* Config: jeffdshen--inverse_... | autoevaluate/autoeval-eval-jeffdshen__inverse_superglue_mixedp1-jeffdshen__inverse-63643c-1665558892 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-05T04:27:30+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["jeffdshen/inverse_superglue_mixedp1"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-1.3b", "metrics": [], "dataset_name": "jeffdshen/inverse_superglue_mixedp1", "dataset_config": "jeffdshen--inverse_superglue_mix... | 2022-10-05T04:44:28+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: facebook/opt-1.3b
* Dataset: jeffdshen/inverse_superglue_mixedp1
* Config: jeffdshen--inverse_superglue_mixedp1
* Split: train
To... | [
"# 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-1.3b\n* Dataset: jeffdshen/inverse_superglue_mixedp1\n* Config: jeffdshen--inverse_superglue_mixedp1\n* Spl... | [
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"# 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-1.3b\n* Dataset: jeffdshen/inverse_superglue_mixedp1\n* Con... | [
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"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-1.3b\n* Dataset: jeffdshen/inverse_superglue_mixedp1\n* ... |
45f1ef8e327d1409ac286e62bcebe91e67b542f7 | # 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: jeffdshen/inverse_superglue_mixedp1
* Config: jeffdshen--inverse_s... | autoevaluate/autoeval-eval-jeffdshen__inverse_superglue_mixedp1-jeffdshen__inverse-63643c-1665558895 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-05T04:27:32+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["jeffdshen/inverse_superglue_mixedp1"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-30b", "metrics": [], "dataset_name": "jeffdshen/inverse_superglue_mixedp1", "dataset_config": "jeffdshen--inverse_superglue_mixe... | 2022-10-05T09:19:31+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: jeffdshen/inverse_superglue_mixedp1
* Config: jeffdshen--inverse_superglue_mixedp1
* Split: train
To ... | [
"# 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: jeffdshen/inverse_superglue_mixedp1\n* Config: jeffdshen--inverse_superglue_mixedp1\n* Spli... | [
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9df8fb24352b9e29d515ffafe9db10482bd7d886 | # 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-1.3b
* Dataset: jeffdshen/redefine_math_test0
* Config: jeffdshen--redefine_math_... | autoevaluate/autoeval-eval-jeffdshen__redefine_math_test0-jeffdshen__redefine_math-58f952-1666158899 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-05T04:27:35+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["jeffdshen/redefine_math_test0"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-1.3b", "metrics": [], "dataset_name": "jeffdshen/redefine_math_test0", "dataset_config": "jeffdshen--redefine_math_test0", "dataset_sp... | 2022-10-05T04:30:05+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-1.3b
* Dataset: jeffdshen/redefine_math_test0
* Config: jeffdshen--redefine_math_test0
* Split: train
To run new eva... | [
"# 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-1.3b\n* Dataset: jeffdshen/redefine_math_test0\n* Config: jeffdshen--redefine_math_test0\n* Split: train\n\... | [
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0276859dac546847bbf4db06353635e291ab05bc | # 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-125m
* Dataset: jeffdshen/redefine_math_test0
* Config: jeffdshen--redefine_math_... | autoevaluate/autoeval-eval-jeffdshen__redefine_math_test0-jeffdshen__redefine_math-58f952-1666158897 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-05T04:27:45+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["jeffdshen/redefine_math_test0"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-125m", "metrics": [], "dataset_name": "jeffdshen/redefine_math_test0", "dataset_config": "jeffdshen--redefine_math_test0", "dataset_sp... | 2022-10-05T04:28:35+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-125m
* Dataset: jeffdshen/redefine_math_test0
* Config: jeffdshen--redefine_math_test0
* Split: train
To run new eva... | [
"# 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-125m\n* Dataset: jeffdshen/redefine_math_test0\n* Config: jeffdshen--redefine_math_test0\n* Split: train\n\... | [
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2d8ed940042912adee1646150a0cbc1219a23467 | # 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: jeffdshen/inverse_superglue_mixedp1
* Config: jeffdshen--inverse_s... | autoevaluate/autoeval-eval-jeffdshen__inverse_superglue_mixedp1-jeffdshen__inverse-63643c-1665558896 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-05T04:27:48+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["jeffdshen/inverse_superglue_mixedp1"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-66b", "metrics": [], "dataset_name": "jeffdshen/inverse_superglue_mixedp1", "dataset_config": "jeffdshen--inverse_superglue_mixe... | 2022-10-05T15:06:53+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: Zero-Shot Text Classification
* Model: facebook/opt-66b
* Dataset: jeffdshen/inverse_superglue_mixedp1
* Config: jeffdshen--inverse_superglue_mixedp1
* Split: train
To ... | [
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77ecf3665d397078ba0a7f2d2729b6973dfbb349 | # 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-350m
* Dataset: jeffdshen/redefine_math_test0
* Config: jeffdshen--redefine_math_... | autoevaluate/autoeval-eval-jeffdshen__redefine_math_test0-jeffdshen__redefine_math-58f952-1666158898 | [
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"evaluation",
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-350m
* Dataset: jeffdshen/redefine_math_test0
* Config: jeffdshen--redefine_math_test0
* Split: train
To run new eva... | [
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e4d735afe1007f82b3f04157ceb4e8b7c70a73bd | # 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-2.7b
* Dataset: jeffdshen/redefine_math_test0
* Config: jeffdshen--redefine_math_... | autoevaluate/autoeval-eval-jeffdshen__redefine_math_test0-jeffdshen__redefine_math-58f952-1666158900 | [
"autotrain",
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] | 2022-10-05T04:28:06+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["jeffdshen/redefine_math_test0"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-2.7b", "metrics": [], "dataset_name": "jeffdshen/redefine_math_test0", "dataset_config": "jeffdshen--redefine_math_test0", "dataset_sp... | 2022-10-05T04:32:05+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-2.7b
* Dataset: jeffdshen/redefine_math_test0
* Config: jeffdshen--redefine_math_test0
* Split: train
To run new eva... | [
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f834eafe0c7f0de1ca6654d58b8af176574593ce | # 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: jeffdshen/redefine_math_test0
* Config: jeffdshen--redefine_math_t... | autoevaluate/autoeval-eval-jeffdshen__redefine_math_test0-jeffdshen__redefine_math-58f952-1666158903 | [
"autotrain",
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-30b
* Dataset: jeffdshen/redefine_math_test0
* Config: jeffdshen--redefine_math_test0
* Split: train
To run new eval... | [
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ea7bcd45b9ebcb63ac9006de8382d96f35fa059b | # 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: jeffdshen/redefine_math_test0
* Config: jeffdshen--redefine_math_... | autoevaluate/autoeval-eval-jeffdshen__redefine_math_test0-jeffdshen__redefine_math-58f952-1666158901 | [
"autotrain",
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-6.7b
* Dataset: jeffdshen/redefine_math_test0
* Config: jeffdshen--redefine_math_test0
* Split: train
To run new eva... | [
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8b5898f4eafe3795b6bedcbc7b099e1873bfca94 | # 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-13b
* Dataset: jeffdshen/redefine_math_test0
* Config: jeffdshen--redefine_math_t... | autoevaluate/autoeval-eval-jeffdshen__redefine_math_test0-jeffdshen__redefine_math-58f952-1666158902 | [
"autotrain",
"evaluation",
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-13b
* Dataset: jeffdshen/redefine_math_test0
* Config: jeffdshen--redefine_math_test0
* Split: train
To run new eval... | [
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8b20e9d35d175d5221b82ffcb4cacc91d0a5305b | # 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: jeffdshen/redefine_math_test0
* Config: jeffdshen--redefine_math_t... | autoevaluate/autoeval-eval-jeffdshen__redefine_math_test0-jeffdshen__redefine_math-58f952-1666158904 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-66b
* Dataset: jeffdshen/redefine_math_test0
* Config: jeffdshen--redefine_math_test0
* Split: train
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5e1d0468842305c4fffb06e306477f89413ee0ce |
# Disclaimer
This was inspired from https://huggingface.co/datasets/lambdalabs/pokemon-blip-captions
# Dataset Card for One Piece BLIP captions
_Dataset used to train [One Piece text to image model](https://github.com/LambdaLabsML/examples/tree/main/stable-diffusion-finetuning)_
BLIP generated captions for One piec... | YaYaB/onepiece-blip-captions | [
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] | 2022-10-05T07:53:42+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["other"], "language": ["en"], "license": "cc-by-nc-sa-4.0", "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "source_datasets": ["YaYaB/onepiece-blip-captions"], "task_categories": ["text-to-image"], "task_ids": [], "pretty_name": "On... | 2022-10-05T09:08:34+00:00 | [] | [
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|
# Disclaimer
This was inspired from URL
# Dataset Card for One Piece BLIP captions
_Dataset used to train One Piece text to image model_
BLIP generated captions for One piece images collected from the web. Original images were obtained from Anime Characters and captioned with the pre-trained BLIP model.
For each r... | [
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f3e99efc613416c8a38bddd96da56d04a518f35d | # 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
* Config: mathemakitten... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test-mathemakitt-596cbd-1668659066 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-30b
* Dataset: mathemakitten/winobias_antistereotype_test
* Config: mathemakitten--winobias_antistereotype_test
* Spl... | [
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840524febf5e1d70b31d0eec2751fbdd24e7c0be | # 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-13b
* Dataset: mathemakitten/winobias_antistereotype_test
* Config: mathemakitten... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test-mathemakitt-596cbd-1668659065 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-13b
* Dataset: mathemakitten/winobias_antistereotype_test
* Config: mathemakitten--winobias_antistereotype_test
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2f6ad84d3dac1ed6b76a21f3008ac5e51f85d66e | # 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-2.7b
* Dataset: mathemakitten/winobias_antistereotype_test
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-2.7b
* Dataset: mathemakitten/winobias_antistereotype_test
* Config: mathemakitten--winobias_antistereotype_test
* Sp... | [
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b228f328233976ec7ce3cb405c9e141bec33c35b | # 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
* Config: mathemakitten... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test-mathemakitt-596cbd-1668659067 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-66b
* Dataset: mathemakitten/winobias_antistereotype_test
* Config: mathemakitten--winobias_antistereotype_test
* Spl... | [
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b27b84b99a7b750fc3e5c6b7326fc15b37aa69eb | # 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-350m
* Dataset: mathemakitten/winobias_antistereotype_test
* Config: mathemakitte... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test-mathemakitt-596cbd-1668659069 | [
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] | 2022-10-05T08:47:38+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["mathemakitten/winobias_antistereotype_test"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-350m", "metrics": ["f1", "perplexity"], "dataset_name": "mathemakitten/winobias_antistereotype_test", "dataset_config": "... | 2022-10-05T08:48:45+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: Zero-Shot Text Classification
* Model: facebook/opt-350m
* Dataset: mathemakitten/winobias_antistereotype_test
* Config: mathemakitten--winobias_antistereotype_test
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ead2ce51b38bd8b7b5b5a5a64fbcf6cff39370e7 | # 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-125m
* Dataset: mathemakitten/winobias_antistereotype_test
* Config: mathemakitte... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test-mathemakitt-596cbd-1668659068 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-125m
* Dataset: mathemakitten/winobias_antistereotype_test
* Config: mathemakitten--winobias_antistereotype_test
* Sp... | [
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acb74d13da168f3d7924324d631c2a908f0751e5 | # 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-1.3b
* Dataset: mathemakitten/winobias_antistereotype_test
* Config: mathemakitte... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test-mathemakitt-596cbd-1668659070 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-05T08:47:45+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["mathemakitten/winobias_antistereotype_test"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-1.3b", "metrics": ["f1", "perplexity"], "dataset_name": "mathemakitten/winobias_antistereotype_test", "dataset_config": "... | 2022-10-05T08:50:50+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: facebook/opt-1.3b
* Dataset: mathemakitten/winobias_antistereotype_test
* Config: mathemakitten--winobias_antistereotype_test
* Sp... | [
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db4add74ef344884cabc98539b88812499111282 | # 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
* Config: mathemakitte... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test-mathemakitt-596cbd-1668659072 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-05T08:47:48+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["mathemakitten/winobias_antistereotype_test"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-6.7b", "metrics": ["f1", "perplexity"], "dataset_name": "mathemakitten/winobias_antistereotype_test", "dataset_config": "... | 2022-10-05T09:03:38+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
* Config: mathemakitten--winobias_antistereotype_test
* Sp... | [
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1d04812197b88e02740e919e975bf113d6af0831 | The ImageNet-A dataset contains 7,500 natural adversarial examples.
Source: https://github.com/hendrycks/natural-adv-examples.
Also see the ImageNet-C and ImageNet-P datasets at https://github.com/hendrycks/robustness
@article{hendrycks2019nae,
title={Natural Adversarial Examples},
author={Dan Hendrycks and... | barkermrl/imagenet-a | [
"license:mit",
"region:us"
] | 2022-10-05T08:56:31+00:00 | {"license": "mit"} | 2022-10-05T16:23:33+00:00 | [] | [] | TAGS
#license-mit #region-us
| The ImageNet-A dataset contains 7,500 natural adversarial examples.
Source: URL
Also see the ImageNet-C and ImageNet-P datasets at URL
@article{hendrycks2019nae,
title={Natural Adversarial Examples},
author={Dan Hendrycks and Kevin Zhao and Steven Basart and Jacob Steinhardt and Dawn Song},
journal={arX... | [] | [
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34b78c3ab8a02e337a885daab20a5060fda64f3c | # 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-125m_eval
* Dataset: MicPie/QA_bias-v2_TEST
* Config: MicPie--QA_bias-v2_T... | autoevaluate/autoeval-eval-MicPie__QA_bias-v2_TEST-MicPie__QA_bias-v2_TEST-19266e-1668959073 | [
"autotrain",
"evaluation",
"region:us"
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-125m_eval
* Dataset: MicPie/QA_bias-v2_TEST
* Config: MicPie--QA_bias-v2_TEST
* Split: train
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070fee955c7c0c9b72b8652b28d1720c8b4fed4e | # 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-350m_eval
* Dataset: MicPie/QA_bias-v2_TEST
* Config: MicPie--QA_bias-v2_T... | autoevaluate/autoeval-eval-MicPie__QA_bias-v2_TEST-MicPie__QA_bias-v2_TEST-e54ae6-1669159074 | [
"autotrain",
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-350m_eval
* Dataset: MicPie/QA_bias-v2_TEST
* Config: MicPie--QA_bias-v2_TEST
* Split: train
To run new evalu... | [
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f50ff9a7cf0e0500f7fe43d4529d6c3c4ed449d2 | # 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: MicPie/QA_bias-v2_TEST
* Config: MicPie--QA_bias-v2_T... | autoevaluate/autoeval-eval-MicPie__QA_bias-v2_TEST-MicPie__QA_bias-v2_TEST-e54ae6-1669159075 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-1.3b_eval
* Dataset: MicPie/QA_bias-v2_TEST
* Config: MicPie--QA_bias-v2_TEST
* Split: train
To run new evalu... | [
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2a369e9fd30d5371f0839a354fc3b07636b2835e | # Dataset Card for "waxal-wolof2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | perrynelson/waxal-wolof2 | [
"region:us"
] | 2022-10-05T13:43:57+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": "audio"}, {"name": "duration", "dtype": "float64"}, {"name": "transcription", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 179976390.6, "num_examples": 1075}], "download_size": 178716765, "dataset_size": 179976390.6}} | 2022-10-05T13:44:04+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "waxal-wolof2"
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9021c0ecb7adb2156d350d6b62304635d25bd9d1 | # en-US abbrevations
This is a dataset of abbreviations.
Contains examples of abbreviations and regular words.
There are two subsets:
- <mark>wiki</mark> - more accurate, manually annotated subset. Collected
from abbreviations in wiki and words in CMUdict.
- <mark>kestrel</mark> - tokens that are automatically anno... | balacoon/en_us_abbreviations | [
"region:us"
] | 2022-10-05T14:33:59+00:00 | {} | 2022-10-05T14:45:23+00:00 | [] | [] | TAGS
#region-us
| # en-US abbrevations
This is a dataset of abbreviations.
Contains examples of abbreviations and regular words.
There are two subsets:
- <mark>wiki</mark> - more accurate, manually annotated subset. Collected
from abbreviations in wiki and words in CMUdict.
- <mark>kestrel</mark> - tokens that are automatically anno... | [
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6,
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"passage: TAGS\n#region-us \n# en-US abbrevations\n\nThis is a dataset of abbreviations.\nContains examples of abbreviations and regular words.\nThere are two subsets:\n\n- <mark>wiki</mark> - more accurate, manually annotated subset. Collected\n from abbreviations in wiki and words in CMUdict.\n- <mark>kestrel</m... |
e028627e1c6f2fa3e8c2745cb8851b7e1dfe2316 | # 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: mathemakitten/opt-125m
* Dataset: mathemakitten/winobias_antistereotype_test
* Config: mathema... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test-mathemakitt-63d0bd-1672359217 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-05T15:20:57+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["mathemakitten/winobias_antistereotype_test"], "eval_info": {"task": "text_zero_shot_classification", "model": "mathemakitten/opt-125m", "metrics": [], "dataset_name": "mathemakitten/winobias_antistereotype_test", "dataset_config": "mathemakitten... | 2022-10-05T15:21:37+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: Zero-Shot Text Classification
* Model: mathemakitten/opt-125m
* Dataset: mathemakitten/winobias_antistereotype_test
* Config: mathemakitten--winobias_antistereotype_test... | [
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b74b3b0a33816bba63c11399805522809e59466b | This repo contains the dataset and the implementation of the NeuralState analysis paper.
Please read below to understand repo Organization:
In the paper, we use two benchmarks:
- The first benchmark we used from NeuraLint can be found under the director name Benchmark1/SOSamples
- The second benchmark we used fr... | anonymou123dl/dlanalysis | [
"region:us"
] | 2022-10-05T15:32:46+00:00 | {} | 2023-08-02T07:39:26+00:00 | [] | [] | TAGS
#region-us
| This repo contains the dataset and the implementation of the NeuralState analysis paper.
Please read below to understand repo Organization:
In the paper, we use two benchmarks:
- The first benchmark we used from NeuraLint can be found under the director name Benchmark1/SOSamples
- The second benchmark we used fr... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
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3bcf652321fc413c5283ad7da6f88abd338a6f7f | language: ['en'];
multilinguality: ['monolingual'];
size_categories: ['100K<n<1M'];
source_datasets: ['extended|xnli'];
task_categories: ['zero-shot-classification']
| Harsit/xnli2.0_english | [
"region:us"
] | 2022-10-05T15:46:31+00:00 | {} | 2022-10-15T08:41:15+00:00 | [] | [] | TAGS
#region-us
| language: ['en'];
multilinguality: ['monolingual'];
size_categories: ['100K<n<1M'];
source_datasets: ['extended|xnli'];
task_categories: ['zero-shot-classification']
| [] | [
"TAGS\n#region-us \n"
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3610129907d3bcf62d97bc0fce2cfb8b4a5a7da9 | This document is a novel qualitative dataset for coffee pest detection based on
the ancestral knowledge of coffee growers of the Department of Cauca, Colombia. Data has been
obtained from survey applied to coffee growers of the association of agricultural producers of
Cajibio โ ASPROACA (Asociaciรณn de productores agrop... | juanvalencia10/Qualitative_dataset | [
"region:us"
] | 2022-10-05T16:49:29+00:00 | {} | 2022-10-05T17:57:53+00:00 | [] | [] | TAGS
#region-us
| This document is a novel qualitative dataset for coffee pest detection based on
the ancestral knowledge of coffee growers of the Department of Cauca, Colombia. Data has been
obtained from survey applied to coffee growers of the association of agricultural producers of
Cajibio โ ASPROACA (Asociaciรณn de productores agrop... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
49a5de113dbd4d944eb11c5169a4c2326063aabe | # Dataset Card for "waxal-pilot-wolof"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | perrynelson/waxal-pilot-wolof | [
"region:us"
] | 2022-10-05T18:24:22+00:00 | {"dataset_info": {"features": [{"name": "input_values", "sequence": "float32"}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "test", "num_bytes": 1427656040, "num_examples": 1075}, {"name": "train", "num_bytes": 659019824, "num_examples": 501}, {"name": "validation", "num_bytes": 1075819008, "num_examp... | 2022-10-05T18:25:45+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "waxal-pilot-wolof"
More Information needed | [
"# Dataset Card for \"waxal-pilot-wolof\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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bfde410b5af8231c043e5aeb41789418b470f5db |
# Dataset Card for panoramic street view images (v.0.0.2)
## 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)
- [Datase... | stochastic/random_streetview_images_pano_v0.0.2 | [
"task_categories:image-classification",
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| Dataset Card for panoramic street view images (v.0.0.2)
=======================================================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Da... | [
"### Dataset Summary\n\n\nThe random streetview images dataset are labeled, panoramic images scraped from URL. Each image shows a location\naccessible by Google Streetview that has been roughly combined to provide ~360 degree view of a single location. The dataset was designed with the intent to geolocate an image ... | [
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50787fb9cfd2f0f851bd757f64caf25689eb24f8 | annotations_creators:
- machine-generated
language_creators:
- machine-generated
license:
- cc-by-4.0
multilinguality:
- multilingual
pretty_name: laion-publicdomain
size_categories:
- 100K<n<1M
source_datasets:
-laion/laion2B-en
tags:
- laion
task_categories:
- text-to-image
# Dataset Card for laion-publicdomain
##... | devourthemoon/laion-publicdomain | [
"region:us"
] | 2022-10-05T21:39:16+00:00 | {} | 2022-10-14T20:49:45+00:00 | [] | [] | TAGS
#region-us
| annotations_creators:
- machine-generated
language_creators:
- machine-generated
license:
- cc-by-4.0
multilinguality:
- multilingual
pretty_name: laion-publicdomain
size_categories:
- 100K<n<1M
source_datasets:
-laion/laion2B-en
tags:
- laion
task_categories:
- text-to-image
# Dataset Card for laion-publicdomain
##... | [
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4821c01a0f2344040a16c8b7febc15f3a8e110d7 |
20221001 ํ๊ตญ์ด ์ํค๋ฅผ kss(backend=mecab)์ ์ด์ฉํด์ ๋ฌธ์ฅ ๋จ์๋ก ๋ถ๋ฆฌํ ๋ฐ์ดํฐ
- 549262 articles, 4724064 sentences
- ํ๊ตญ์ด ๋น์ค์ด 50% ์ดํ๊ฑฐ๋ ํ๊ตญ์ด ๊ธ์๊ฐ 10์ ์ดํ์ธ ๊ฒฝ์ฐ๋ฅผ ์ ์ธ | heegyu/kowiki-sentences | [
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"multilinguality:monolingual",
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] | 2022-10-05T23:46:26+00:00 | {"language_creators": ["other"], "language": ["ko"], "license": "cc-by-sa-3.0", "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "task_categories": ["other"]} | 2022-10-05T23:54:57+00:00 | [] | [
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20221001 ํ๊ตญ์ด ์ํค๋ฅผ kss(backend=mecab)์ ์ด์ฉํด์ ๋ฌธ์ฅ ๋จ์๋ก ๋ถ๋ฆฌํ ๋ฐ์ดํฐ
- 549262 articles, 4724064 sentences
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] |
f7253e02c896a9da7327952a95cc37938b82a978 |
Dataset originates from here:
https://www.kaggle.com/datasets/kaggle/us-consumer-finance-complaints | venetis/consumer_complaint_kaggle | [
"license:afl-3.0",
"region:us"
] | 2022-10-06T01:07:31+00:00 | {"license": "afl-3.0"} | 2022-10-06T01:07:56+00:00 | [] | [] | TAGS
#license-afl-3.0 #region-us
|
Dataset originates from here:
URL | [] | [
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75763be64153418ce7a7332c12415dcb7e5f7f31 | Dataset link:
https://www.kaggle.com/datasets/crowdflower/twitter-airline-sentiment?sort=most-comments | venetis/twitter_us_airlines_kaggle | [
"license:afl-3.0",
"region:us"
] | 2022-10-06T01:24:25+00:00 | {"license": "afl-3.0"} | 2022-10-06T17:28:56+00:00 | [] | [] | TAGS
#license-afl-3.0 #region-us
| Dataset link:
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ababe4aebc37becc2ad1565305fe994d81e9efb7 |
# Dataset Card for [Dataset Name]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-st... | Tidrael/tsl_news | [
"task_categories:text-classification",
"task_ids:sentiment-classification",
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"language:en",
"license:apache-2.0",
"region:us"
] | 2022-10-06T03:47:14+00:00 | {"annotations_creators": [], "language_creators": ["machine-generated"], "language": ["en"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["sentiment-classification"], "pretty_name... | 2022-10-10T13:23:36+00:00 | [] | [
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|
# Dataset Card for [Dataset Name]
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- P... | [
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6a48d5decb05155e0c8634b04511ee395f9cd7ce | # Stocks NER 2000 Sample Test Dataset for Named Entity Recognition
This dataset has been automatically processed by AutoTrain for the project stocks-ner-2000-sample-test, and is perfect for training models for Named Entity Recognition (NER) in the stock market domain.
## Dataset Description
The dataset includes 2000... | hemangjoshi37a/autotrain-data-stocks-ner-2000-sample-test | [
"region:us"
] | 2022-10-06T04:40:07+00:00 | {} | 2023-01-27T16:34:39+00:00 | [] | [] | TAGS
#region-us
| # Stocks NER 2000 Sample Test Dataset for Named Entity Recognition
This dataset has been automatically processed by AutoTrain for the project stocks-ner-2000-sample-test, and is perfect for training models for Named Entity Recognition (NER) in the stock market domain.
## Dataset Description
The dataset includes 2000... | [
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552d2d8f28037963756e31b827e6f99c940b5fc2 |
# Dataset Card for OLM August 2022 Common Crawl
Cleaned and deduplicated pretraining dataset, created with the OLM repo [here](https://github.com/huggingface/olm-datasets) from 20% of the August 2022 Common Crawl snapshot.
Note: `last_modified_timestamp` was parsed from whatever a website returned in it's `Last-Modi... | olm/olm-CC-MAIN-2022-33-sampling-ratio-0.20 | [
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"pretraining",
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"common crawl",
"web",
"region:us"
] | 2022-10-06T05:53:07+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["en"], "license": [], "multilinguality": ["monolingual"], "size_categories": ["10M<n<100M"], "source_datasets": [], "task_categories": [], "task_ids": [], "pretty_name": "OLM August 2022 Common Crawl", "tags": ["pretraining", "lang... | 2022-11-04T17:14:03+00:00 | [] | [
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|
# Dataset Card for OLM August 2022 Common Crawl
Cleaned and deduplicated pretraining dataset, created with the OLM repo here from 20% of the August 2022 Common Crawl snapshot.
Note: 'last_modified_timestamp' was parsed from whatever a website returned in it's 'Last-Modified' header; there are likely a small number o... | [
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26585b3c0fd7ea8b5d04dbb4240294804e35da33 | # AutoTrain Dataset for project: chest-xray-demo
## Dataset Description
This dataset has been automatically processed by AutoTrain for project chest-xray-demo.
The original dataset is located at https://www.kaggle.com/datasets/paultimothymooney/chest-xray-pneumonia
## Dataset Structure
```
โโโ train
โย ย โโโ NORMAL... | juliensimon/autotrain-data-chest-xray-demo | [
"task_categories:image-classification",
"region:us"
] | 2022-10-06T07:25:44+00:00 | {"task_categories": ["image-classification"]} | 2022-10-06T08:15:55+00:00 | [] | [] | TAGS
#task_categories-image-classification #region-us
| AutoTrain Dataset for project: chest-xray-demo
==============================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project chest-xray-demo.
The original dataset is located at URL
Dataset Structure
-----------------
### Data Inst... | [
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
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"### Dataset Splits\n\n\nThis dataset is split into a train and validation split. The split sizes are as follows:"
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"passage: TAGS\n#task_categories-image-classification #region-us \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 dataset is split into a train and validation split. The split si... |
403a822f547c7a9348d6128d9a094abeee2817ce | # 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: MicPie/QA_bias-v2_TEST
* Config: MicPie--QA_bias-v2_T... | autoevaluate/autoeval-eval-MicPie__QA_bias-v2_TEST-MicPie__QA_bias-v2_TEST-9d4c95-1678559331 | [
"autotrain",
"evaluation",
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-2.7b_eval
* Dataset: MicPie/QA_bias-v2_TEST
* Config: MicPie--QA_bias-v2_TEST
* Split: train
To run new evalu... | [
"# 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: MicPie/QA_bias-v2_TEST\n* Config: MicPie--QA_bias-v2_TEST\n* Split: train\n\nT... | [
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88f03f09029cb2768c0bbb136b53ed71ff3bfd0a | # 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-30b_eval
* Dataset: MicPie/QA_bias-v2_TEST
* Config: MicPie--QA_bias-v2_TE... | autoevaluate/autoeval-eval-MicPie__QA_bias-v2_TEST-MicPie__QA_bias-v2_TEST-b39cdc-1678759338 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-06T09:04:04+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["MicPie/QA_bias-v2_TEST"], "eval_info": {"task": "text_zero_shot_classification", "model": "inverse-scaling/opt-30b_eval", "metrics": [], "dataset_name": "MicPie/QA_bias-v2_TEST", "dataset_config": "MicPie--QA_bias-v2_TEST", "dataset_split": "tra... | 2022-10-06T09:34:45+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: Zero-Shot Text Classification
* Model: inverse-scaling/opt-30b_eval
* Dataset: MicPie/QA_bias-v2_TEST
* Config: MicPie--QA_bias-v2_TEST
* Split: train
To run new evalua... | [
"# 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-30b_eval\n* Dataset: MicPie/QA_bias-v2_TEST\n* Config: MicPie--QA_bias-v2_TEST\n* Split: train\n\nTo... | [
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"# 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-30b_eval\n* Dataset: MicPie/QA_bias-v2_TEST\n* Confi... | [
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4ba66f247564a198464d4fc19a7934a22ca16ec7 |
## NeQA: Can Large Language Models Understand Negation in Multi-choice Questions? (Zhengping Zhou and Yuhui Zhang)
### General description
This task takes an existing multiple-choice dataset and negates a part of each question to see if language models are sensitive to negation. The authors find that smaller languag... | inverse-scaling/NeQA | [
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"language:en",
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] | 2022-10-06T09:35:35+00:00 | {"language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": [], "task_categories": ["multiple-choice", "question-answering", "zero-shot-classification"], "pretty_name": "NeQA - Can Large Language Models Understand Negation in Multi-choice Q... | 2022-10-08T11:40:09+00:00 | [] | [
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|
## NeQA: Can Large Language Models Understand Negation in Multi-choice Questions? (Zhengping Zhou and Yuhui Zhang)
### General description
This task takes an existing multiple-choice dataset and negates a part of each question to see if language models are sensitive to negation. The authors find that smaller languag... | [
"## NeQA: Can Large Language Models Understand Negation in Multi-choice Questions? (Zhengping Zhou and Yuhui Zhang)",
"### General description\n\nThis task takes an existing multiple-choice dataset and negates a part of each question to see if language models are sensitive to negation. The authors find that small... | [
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9627e351697f199464f7c544f485289937dba0ee |
## quote-repetition (Joe Cavanagh, Andrew Gritsevskiy, and Derik Kauffman of Cavendish Labs)
### General description
In this task, the authors ask language models to repeat back sentences given in the prompt, with few-shot examples to help it recognize the task. Each prompt contains a famous quote with a modified en... | inverse-scaling/quote-repetition | [
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|
## quote-repetition (Joe Cavanagh, Andrew Gritsevskiy, and Derik Kauffman of Cavendish Labs)
### General description
In this task, the authors ask language models to repeat back sentences given in the prompt, with few-shot examples to help it recognize the task. Each prompt contains a famous quote with a modified en... | [
"## quote-repetition (Joe Cavanagh, Andrew Gritsevskiy, and Derik Kauffman of Cavendish Labs)",
"### General description\n\nIn this task, the authors ask language models to repeat back sentences given in the prompt, with few-shot examples to help it recognize the task. Each prompt contains a famous quote with a m... | [
"TAGS\n#task_categories-multiple-choice #task_categories-question-answering #task_categories-zero-shot-classification #multilinguality-monolingual #size_categories-1K<n<10K #language-English #license-cc-by-sa-4.0 #region-us \n",
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3f49875a227404f5b0e9af4db0fb266ce6668e49 | # 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-350m_eval
* Dataset: inverse-scaling/41
* Config: inverse-scaling--41
* Sp... | autoevaluate/autoeval-eval-inverse-scaling__41-inverse-scaling__41-10b85d-1679259340 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-06T10:00:28+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["inverse-scaling/41"], "eval_info": {"task": "text_zero_shot_classification", "model": "inverse-scaling/opt-350m_eval", "metrics": [], "dataset_name": "inverse-scaling/41", "dataset_config": "inverse-scaling--41", "dataset_split": "train", "col_m... | 2022-10-06T10:01:37+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: Zero-Shot Text Classification
* Model: inverse-scaling/opt-350m_eval
* Dataset: inverse-scaling/41
* Config: inverse-scaling--41
* Split: train
To run new evaluation jo... | [
"# 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-350m_eval\n* Dataset: inverse-scaling/41\n* Config: inverse-scaling--41\n* Split: train\n\nTo run ne... | [
"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-350m_eval\n* Dataset: inverse-scaling/41\n* Config: ... | [
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"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-350m_eval\n* Dataset: inverse-scaling/41\n* Confi... |
07faf25ebf219e03c317d45139fa6a7b48423cba | # 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-125m_eval
* Dataset: inverse-scaling/41
* Config: inverse-scaling--41
* Sp... | autoevaluate/autoeval-eval-inverse-scaling__41-inverse-scaling__41-10b85d-1679259339 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-06T10:00:28+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["inverse-scaling/41"], "eval_info": {"task": "text_zero_shot_classification", "model": "inverse-scaling/opt-125m_eval", "metrics": [], "dataset_name": "inverse-scaling/41", "dataset_config": "inverse-scaling--41", "dataset_split": "train", "col_m... | 2022-10-06T10:01:11+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-125m_eval
* Dataset: inverse-scaling/41
* Config: inverse-scaling--41
* Split: train
To run new evaluation jo... | [
"# 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-125m_eval\n* Dataset: inverse-scaling/41\n* Config: inverse-scaling--41\n* Split: train\n\nTo run ne... | [
"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-125m_eval\n* Dataset: inverse-scaling/41\n* Config: ... | [
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"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-125m_eval\n* Dataset: inverse-scaling/41\n* Confi... |
b26289efa1d7e2d76254ea0968c7eb0e09b0834d | # 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: inverse-scaling/41
* Config: inverse-scaling--41
* Sp... | autoevaluate/autoeval-eval-inverse-scaling__41-inverse-scaling__41-10b85d-1679259341 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-06T10:00:33+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["inverse-scaling/41"], "eval_info": {"task": "text_zero_shot_classification", "model": "inverse-scaling/opt-1.3b_eval", "metrics": [], "dataset_name": "inverse-scaling/41", "dataset_config": "inverse-scaling--41", "dataset_split": "train", "col_m... | 2022-10-06T10:03:30+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: inverse-scaling/41
* Config: inverse-scaling--41
* Split: train
To run new evaluation jo... | [
"# 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: inverse-scaling/41\n* Config: inverse-scaling--41\n* Split: train\n\nTo run ne... | [
"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: inverse-scaling/41\n* Config: ... | [
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"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: inverse-scaling/41\n* Confi... |
6c2619222234a0b6b3920dbdd285645668b3377d | # 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-30b_eval
* Dataset: inverse-scaling/41
* Config: inverse-scaling--41
* Spl... | autoevaluate/autoeval-eval-inverse-scaling__41-inverse-scaling__41-10b85d-1679259344 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-06T10:00:36+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["inverse-scaling/41"], "eval_info": {"task": "text_zero_shot_classification", "model": "inverse-scaling/opt-30b_eval", "metrics": [], "dataset_name": "inverse-scaling/41", "dataset_config": "inverse-scaling--41", "dataset_split": "train", "col_ma... | 2022-10-06T10:47:33+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-30b_eval
* Dataset: inverse-scaling/41
* Config: inverse-scaling--41
* Split: train
To run new evaluation job... | [
"# 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-30b_eval\n* Dataset: inverse-scaling/41\n* Config: inverse-scaling--41\n* Split: train\n\nTo run new... | [
"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-30b_eval\n* Dataset: inverse-scaling/41\n* Config: i... | [
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"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-30b_eval\n* Dataset: inverse-scaling/41\n* Config... |
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