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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
5f55375edbfe0270c20bcf770751ad982c0e6614 |
# Dataset Card for MultiWOZ 2.1
- **Repository:** https://github.com/budzianowski/multiwoz
- **Paper:** https://aclanthology.org/2020.lrec-1.53
- **Leaderboard:** https://github.com/budzianowski/multiwoz
- **Who transforms the dataset:** Qi Zhu(zhuq96 at gmail dot com)
To use this dataset, you need to install [ConvL... | ConvLab/multiwoz21 | [
"task_categories:conversational",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"language:en",
"license:apache-2.0",
"region:us"
] | 2022-04-01T02:32:58+00:00 | {"language": ["en"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "task_categories": ["conversational"], "pretty_name": "MultiWOZ 2.1"} | 2022-11-25T08:00:28+00:00 | [] | [
"en"
] | TAGS
#task_categories-conversational #multilinguality-monolingual #size_categories-10K<n<100K #language-English #license-apache-2.0 #region-us
| Dataset Card for MultiWOZ 2.1
=============================
* Repository: URL
* Paper: URL
* Leaderboard: URL
* Who transforms the dataset: Qi Zhu(zhuq96 at gmail dot com)
To use this dataset, you need to install ConvLab-3 platform first. Then you can load the dataset via:
For more usage please refer to here.
#... | [
"### Dataset Summary\n\n\nMultiWOZ 2.1 fixed the noise in state annotations and dialogue utterances. It also includes user dialogue acts from ConvLab (Lee et al., 2019) as well as multiple slot descriptions per dialogue state slot.\n\n\n* How to get the transformed data from original data:\n\t+ Download MultiWOZ\\_... | [
"TAGS\n#task_categories-conversational #multilinguality-monolingual #size_categories-10K<n<100K #language-English #license-apache-2.0 #region-us \n",
"### Dataset Summary\n\n\nMultiWOZ 2.1 fixed the noise in state annotations and dialogue utterances. It also includes user dialogue acts from ConvLab (Lee et al., 2... | [
48,
290,
28,
5,
93,
12
] | [
"passage: TAGS\n#task_categories-conversational #multilinguality-monolingual #size_categories-10K<n<100K #language-English #license-apache-2.0 #region-us \n### Dataset Summary\n\n\nMultiWOZ 2.1 fixed the noise in state annotations and dialogue utterances. It also includes user dialogue acts from ConvLab (Lee et al.... |
0fbd5a29ff7f0c14ba9b11b878b05e8bdcc0a4c0 | Mitre technique subtechnqie | Ericblancosf/subtechnique | [
"region:us"
] | 2022-04-01T03:56:18+00:00 | {} | 2022-04-01T04:02:50+00:00 | [] | [] | TAGS
#region-us
| Mitre technique subtechnqie | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
79ac5a87c5025ad4eb1713832edaf19838d8c10f | annotations_creators:
- expert-generated
- machine-generated
language_creators:
- expert-generated
- machine-generated
languages: []
licenses:
- other-my-license
multilinguality:
- monolingual
pretty_name: bioasq
size_categories:
- unknown
source_datasets:
- extended|pubmed_qa
task_categories:
- question-answering
task... | tan9/bioasq | [
"region:us"
] | 2022-04-01T07:25:44+00:00 | {} | 2022-04-01T08:40:24+00:00 | [] | [] | TAGS
#region-us
| annotations_creators:
- expert-generated
- machine-generated
language_creators:
- expert-generated
- machine-generated
languages: []
licenses:
- other-my-license
multilinguality:
- monolingual
pretty_name: bioasq
size_categories:
- unknown
source_datasets:
- extended|pubmed_qa
task_categories:
- question-answering
task... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
3955cef83f919910b99d77369b44c09a67907ef2 | annotations_creators:
- other
language_creators:
- other
languages:
- en-US
licenses:
- other-my-license
multilinguality:
- monolingual
pretty_name: pubmedqa
size_categories:
- unknown
source_datasets: []
task_categories:
- question-answering
task_ids:
- extractive-qa | tan9/pubmedQA | [
"region:us"
] | 2022-04-01T08:41:08+00:00 | {} | 2022-04-01T08:44:08+00:00 | [] | [] | TAGS
#region-us
| annotations_creators:
- other
language_creators:
- other
languages:
- en-US
licenses:
- other-my-license
multilinguality:
- monolingual
pretty_name: pubmedqa
size_categories:
- unknown
source_datasets: []
task_categories:
- question-answering
task_ids:
- extractive-qa | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
b1aac0607073656a92770b7dc5766a02abef01d6 | # EAS Dataset
[](https://opendatacommons.org/licenses/odbl/)
Emotions Analytic System (EAS) on Instagram social network data
Nowadays, thanks to spread of social media, and large amount of data in Internet, the need for changing how we look an... | sfdkiaei/EAS | [
"region:us"
] | 2022-04-01T09:46:59+00:00 | {} | 2022-04-01T10:14:44+00:00 | [] | [] | TAGS
#region-us
| # EAS Dataset
 on Instagram social network data
Nowadays, thanks to spread of social media, and large amount of data in Internet, the need for changing how we look and interpret data is evolving. Visualization is one of the most important fields in data science. Abou... | [
"# EAS Dataset\n on Instagram social network data\n\nNowadays, thanks to spread of social media, and large amount of data in Internet, the need for changing how we look and interpret data is evolving. Visualization is one of the most important fields in data sci... | [
"TAGS\n#region-us \n",
"# EAS Dataset\n on Instagram social network data\n\nNowadays, thanks to spread of social media, and large amount of data in Internet, the need for changing how we look and interpret data is evolving. Visualization is one of the most imp... | [
6,
264
] | [
"passage: TAGS\n#region-us \n# EAS Dataset\n on Instagram social network data\n\nNowadays, thanks to spread of social media, and large amount of data in Internet, the need for changing how we look and interpret data is evolving. Visualization is one of the most ... |
649a061a8b9fc03aad2d3abd56c2e9ce42da42fd | Source: https://www.kaggle.com/datasets/djilax/pkmn-image-dataset | huggan/pokemon | [
"region:us"
] | 2022-04-01T10:44:34+00:00 | {} | 2022-04-01T10:50:45+00:00 | [] | [] | TAGS
#region-us
| Source: URL | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
0689c984ee2d9fb5ffd7c91f0cfeb7bbaa43f2f9 |
# Dataset Card for [es_tweets_laboral]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#datas... | hackathon-pln-es/es_tweets_laboral | [
"task_categories:text-classification",
"task_ids:intent-classification",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"language:es",
"license:unknown",
"region:us"
] | 2022-04-01T12:20:33+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["es"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["unknown"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["intent-classification"], "pretty_name"... | 2022-10-25T09:03:39+00:00 | [] | [
"es"
] | TAGS
#task_categories-text-classification #task_ids-intent-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-unknown #source_datasets-original #language-Spanish #license-unknown #region-us
|
# Dataset Card for [es_tweets_laboral]
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
... | [
"# Dataset Card for [es_tweets_laboral]",
"## 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 D... | [
"TAGS\n#task_categories-text-classification #task_ids-intent-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-unknown #source_datasets-original #language-Spanish #license-unknown #region-us \n",
"# Dataset Card for [es_tweets_laboral]",
... | [
86,
14,
125,
63,
6,
10,
5,
6,
6,
5,
5,
5,
7,
4,
10,
10,
5,
5,
9,
8,
8,
7,
8,
7,
5,
6,
6,
19
] | [
"passage: TAGS\n#task_categories-text-classification #task_ids-intent-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-unknown #source_datasets-original #language-Spanish #license-unknown #region-us \n# Dataset Card for [es_tweets_laboral]#... |
40251166354d6348fdd75a258486e55260642a5d |
# Dataset Card for MetaShift
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields]... | metashift | [
"task_categories:image-classification",
"task_categories:other",
"task_ids:multi-label-image-classification",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:cc-b... | 2022-04-01T14:16:57+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["image-classification", "other"], "task_ids": ["multi-label-image-cl... | 2024-01-18T11:19:04+00:00 | [
"2202.06523"
] | [
"en"
] | TAGS
#task_categories-image-classification #task_categories-other #task_ids-multi-label-image-classification #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-cc-by-4.0 #domain-generalization #... |
# Dataset Card for MetaShift
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal and Sensitive Information
- Consid... | [
"# Dataset Card for MetaShift",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotations\n - Personal and Sensitive... | [
"TAGS\n#task_categories-image-classification #task_categories-other #task_ids-multi-label-image-classification #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-cc-by-4.0 #domain-generaliza... | [
119,
8,
112,
39,
188,
552,
622,
46,
18,
6,
73,
102,
15,
5,
158,
4,
111,
10,
36,
120,
36,
8,
8,
7,
139,
7,
5,
6,
141,
18
] | [
"passage: TAGS\n#task_categories-image-classification #task_categories-other #task_ids-multi-label-image-classification #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-cc-by-4.0 #domain-g... |
d5d0b1e1251a49c870b8929dc10c3f03ea7dbb67 | Deprecated as of meerqat v4-alpha. See https://github.com/PaulLerner/ViQuAE | PaulLerner/viquae_passages | [
"region:us"
] | 2022-04-01T14:45:33+00:00 | {} | 2023-05-31T10:41:41+00:00 | [] | [] | TAGS
#region-us
| Deprecated as of meerqat v4-alpha. See URL | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
2eec8352d97326bcba1de4687668e2602b22c110 |
## How to use the data sets
This dataset contains about 36,000 unique pairs of protein sequences and ligand SMILES, and the coordinates
of their complexes from the PDB.
SMILES are assumed to be tokenized by the regex from P. Schwaller.
## Ligand selection criteria
Only ligands
- that have at least 3 atoms,
- a mo... | jglaser/pdb_protein_ligand_complexes | [
"proteins",
"molecules",
"chemistry",
"SMILES",
"complex structures",
"region:us"
] | 2022-04-01T18:14:21+00:00 | {"tags": ["proteins", "molecules", "chemistry", "SMILES", "complex structures"]} | 2022-10-13T14:09:57+00:00 | [] | [] | TAGS
#proteins #molecules #chemistry #SMILES #complex structures #region-us
|
## How to use the data sets
This dataset contains about 36,000 unique pairs of protein sequences and ligand SMILES, and the coordinates
of their complexes from the PDB.
SMILES are assumed to be tokenized by the regex from P. Schwaller.
## Ligand selection criteria
Only ligands
- that have at least 3 atoms,
- a mo... | [
"## How to use the data sets\n\nThis dataset contains about 36,000 unique pairs of protein sequences and ligand SMILES, and the coordinates\nof their complexes from the PDB.\n\nSMILES are assumed to be tokenized by the regex from P. Schwaller.",
"## Ligand selection criteria\n\nOnly ligands\n\n- that have at leas... | [
"TAGS\n#proteins #molecules #chemistry #SMILES #complex structures #region-us \n",
"## How to use the data sets\n\nThis dataset contains about 36,000 unique pairs of protein sequences and ligand SMILES, and the coordinates\nof their complexes from the PDB.\n\nSMILES are assumed to be tokenized by the regex from P... | [
26,
65,
63,
66,
7
] | [
"passage: TAGS\n#proteins #molecules #chemistry #SMILES #complex structures #region-us \n## How to use the data sets\n\nThis dataset contains about 36,000 unique pairs of protein sequences and ligand SMILES, and the coordinates\nof their complexes from the PDB.\n\nSMILES are assumed to be tokenized by the regex fro... |
e3789d92458aeb34a189a1fff9863e6d248d891a | # Dataset Card for biomed_squad_es_v2
This Dataset was created as part of the "Extractive QA Biomedicine" project developed during the 2022 [Hackathon](https://somosnlp.org/hackathon) organized by SOMOS NLP.
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
... | hackathon-pln-es/biomed_squad_es_v2 | [
"arxiv:1912.05200",
"region:us"
] | 2022-04-02T02:05:44+00:00 | {} | 2022-04-03T16:46:58+00:00 | [
"1912.05200"
] | [] | TAGS
#arxiv-1912.05200 #region-us
| # Dataset Card for biomed_squad_es_v2
This Dataset was created as part of the "Extractive QA Biomedicine" project developed during the 2022 Hackathon organized by SOMOS NLP.
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks
- Languages
- Dataset Structure
- Data Instances
- Dat... | [
"# Dataset Card for biomed_squad_es_v2\n\nThis Dataset was created as part of the \"Extractive QA Biomedicine\" project developed during the 2022 Hackathon organized by SOMOS NLP.",
"## Table of Contents\n\n- Dataset Description\n - Dataset Summary\n - Supported Tasks\n - Languages\n- Dataset Structure\n - Da... | [
"TAGS\n#arxiv-1912.05200 #region-us \n",
"# Dataset Card for biomed_squad_es_v2\n\nThis Dataset was created as part of the \"Extractive QA Biomedicine\" project developed during the 2022 Hackathon organized by SOMOS NLP.",
"## Table of Contents\n\n- Dataset Description\n - Dataset Summary\n - Supported Tasks\... | [
15,
50,
112,
24,
68,
5,
6,
5,
13,
9
] | [
"passage: TAGS\n#arxiv-1912.05200 #region-us \n# Dataset Card for biomed_squad_es_v2\n\nThis Dataset was created as part of the \"Extractive QA Biomedicine\" project developed during the 2022 Hackathon organized by SOMOS NLP.## Table of Contents\n\n- Dataset Description\n - Dataset Summary\n - Supported Tasks\n ... |
db1a30d40f031f31dc49353f7dc40b08fea6719a |
# RuNNE dataset
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Structure](#dataset-structure)
- [Citation Information](#citation-information)
- [Contacts](#contacts)
## Dataset Description
Part of NEREL dataset (https://arxiv.org/abs/2108.13112), a Russian dataset
for named entity reco... | iluvvatar/RuNNE | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"multilinguality:monolingual",
"language:ru",
"arxiv:2108.13112",
"region:us"
] | 2022-04-02T06:55:42+00:00 | {"language": ["ru"], "multilinguality": ["monolingual"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognition"], "pretty_name": "RuNNE"} | 2023-03-30T12:36:53+00:00 | [
"2108.13112"
] | [
"ru"
] | TAGS
#task_categories-token-classification #task_ids-named-entity-recognition #multilinguality-monolingual #language-Russian #arxiv-2108.13112 #region-us
|
# RuNNE dataset
## Table of Contents
- Dataset Description
- Dataset Structure
- Citation Information
- Contacts
## Dataset Description
Part of NEREL dataset (URL a Russian dataset
for named entity recognition and relation extraction, used in RuNNE (2022)
competition (URL
Entities may be nested (see URL
Entity typ... | [
"# RuNNE dataset",
"## Table of Contents\n- Dataset Description\n- Dataset Structure\n- Citation Information\n- Contacts",
"## Dataset Description\nPart of NEREL dataset (URL a Russian dataset\nfor named entity recognition and relation extraction, used in RuNNE (2022)\ncompetition (URL\n\nEntities may be nested... | [
"TAGS\n#task_categories-token-classification #task_ids-named-entity-recognition #multilinguality-monolingual #language-Russian #arxiv-2108.13112 #region-us \n",
"# RuNNE dataset",
"## Table of Contents\n- Dataset Description\n- Dataset Structure\n- Citation Information\n- Contacts",
"## Dataset Description\nP... | [
54,
6,
22,
161,
443
] | [
"passage: TAGS\n#task_categories-token-classification #task_ids-named-entity-recognition #multilinguality-monolingual #language-Russian #arxiv-2108.13112 #region-us \n# RuNNE dataset## Table of Contents\n- Dataset Description\n- Dataset Structure\n- Citation Information\n- Contacts## Dataset Description\nPart of NE... |
64fd51e4bb4d4d41e59df46d597725468c716c97 |
为了对 like-BERT 预训练模型进行 fine-tune 调优和评测以得到更好的文本表征模，对业界开源的语义相似（STS）、自然语言推理（NLI）、问题匹配（QMC）以及相关性等数据集进行了搜集整理，具体介绍如下：
| 类型 | 数据集 | 简介 | 规模 |
| ------------... | DMetaSoul/chinese-semantic-textual-similarity | [
"license:apache-2.0",
"region:us"
] | 2022-04-02T09:10:43+00:00 | {"license": "apache-2.0"} | 2022-04-02T09:38:47+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| 为了对 like-BERT 预训练模型进行 fine-tune 调优和评测以得到更好的文本表征模，对业界开源的语义相似（STS）、自然语言推理（NLI）、问题匹配（QMC）以及相关性等数据集进行了搜集整理，具体介绍如下：
*以上数据集主要收集整理自CLUE（中文语言理解基准评测数据集）、SimCLUE (整合许多开源文本相似数据集)、百度千言的文本相似度等数据集。*
根据以上收集的数据集构建如下评测 benchmark：
Name: Chinese-STS-B-dev, Size: 1458, Type: label=0.0~1.0
Name: Chinese-STS-B-test, Size: 1361, Type:... | [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#license-apache-2.0 #region-us \n"
] |
a6b8d891d393e97a4efac791afffb2d7de5e57c6 | # Dataset Card for fever_gold_evidence
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Dat... | copenlu/fever_gold_evidence | [
"task_categories:text-classification",
"task_ids:fact-checking",
"annotations_creators:machine-generated",
"annotations_creators:expert-generated",
"language_creators:machine-generated",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:ex... | 2022-04-02T13:52:35+00:00 | {"annotations_creators": ["machine-generated", "expert-generated"], "language_creators": ["machine-generated", "crowdsourced"], "language": ["en"], "license": ["cc-by-sa-3.0", "gpl-3.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["extended|fever"], "task_categories": ["te... | 2022-11-17T11:42:54+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #task_ids-fact-checking #annotations_creators-machine-generated #annotations_creators-expert-generated #language_creators-machine-generated #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-extended|fever #language-English ... | # Dataset Card for fever_gold_evidence
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal and Sensitive Information... | [
"# Dataset Card for fever_gold_evidence",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotations\n - Personal and... | [
"TAGS\n#task_categories-text-classification #task_ids-fact-checking #annotations_creators-machine-generated #annotations_creators-expert-generated #language_creators-machine-generated #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-extended|fever #language-En... | [
131,
13,
112,
27,
149,
10,
4,
6,
6,
5,
5,
5,
7,
4,
10,
10,
5,
5,
9,
8,
8,
7,
8,
7,
5,
6,
6
] | [
"passage: TAGS\n#task_categories-text-classification #task_ids-fact-checking #annotations_creators-machine-generated #annotations_creators-expert-generated #language_creators-machine-generated #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-extended|fever #la... |
d267838191dbf769374ef1f8ce0c0a04a413b18a | # Wordnet definitions for English
Dataset by Princeton WordNet and the Open English WordNet team
https://github.com/globalwordnet/english-wordnet
This dataset contains every entry in wordnet that has a definition and an example.
Be aware that the word "null" can be misinterpreted as a null value if loading it in with... | marksverdhei/wordnet-definitions-en-2021 | [
"region:us"
] | 2022-04-02T18:02:14+00:00 | {} | 2022-04-04T20:55:03+00:00 | [] | [] | TAGS
#region-us
| # Wordnet definitions for English
Dataset by Princeton WordNet and the Open English WordNet team
URL
This dataset contains every entry in wordnet that has a definition and an example.
Be aware that the word "null" can be misinterpreted as a null value if loading it in with e.g. pandas | [
"# Wordnet definitions for English\n\nDataset by Princeton WordNet and the Open English WordNet team\nURL\n\nThis dataset contains every entry in wordnet that has a definition and an example.\nBe aware that the word \"null\" can be misinterpreted as a null value if loading it in with e.g. pandas"
] | [
"TAGS\n#region-us \n",
"# Wordnet definitions for English\n\nDataset by Princeton WordNet and the Open English WordNet team\nURL\n\nThis dataset contains every entry in wordnet that has a definition and an example.\nBe aware that the word \"null\" can be misinterpreted as a null value if loading it in with e.g. p... | [
6,
69
] | [
"passage: TAGS\n#region-us \n# Wordnet definitions for English\n\nDataset by Princeton WordNet and the Open English WordNet team\nURL\n\nThis dataset contains every entry in wordnet that has a definition and an example.\nBe aware that the word \"null\" can be misinterpreted as a null value if loading it in with e.g... |
49cf0593a2baf2fd848d81470d7c439c3ab8d3ec | This dataset was previously created in Kaggle by [Andrea Morales Garzón](https://huggingface.co/andreamorgar).
[Link Kaggle](https://www.kaggle.com/andreamorgar/spanish-poetry-dataset/version/1) | hackathon-pln-es/spanish-poetry-dataset | [
"region:us"
] | 2022-04-03T02:31:57+00:00 | {} | 2022-04-03T02:34:26+00:00 | [] | [] | TAGS
#region-us
| This dataset was previously created in Kaggle by Andrea Morales Garzón.
Link Kaggle | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
aa48b3c7f4d0c1450f8f2df27ceb8a882b022600 |
# Spanish to Quechua
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Structure](#dataset-structure)
- [Dataset Creation](#dataset-creation)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [team members](#team-members)
## Dataset Description
This dataset is a... | hackathon-pln-es/spanish-to-quechua | [
"task_categories:translation",
"language:es",
"language:qu",
"region:us"
] | 2022-04-03T03:02:58+00:00 | {"language": ["es", "qu"], "task_categories": ["translation"], "task": ["translation"]} | 2022-10-25T09:03:46+00:00 | [] | [
"es",
"qu"
] | TAGS
#task_categories-translation #language-Spanish #language-Quechua #region-us
|
# Spanish to Quechua
## Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- team members
## Dataset Description
This dataset is a recopilation of webs and others datasets that shows in dataset creation section. This contains translations from spanish ... | [
"# Spanish to Quechua",
"## Table of Contents\n- Dataset Description\n- Dataset Structure\n- Dataset Creation\n- Considerations for Using the Data\n- team members",
"## Dataset Description\n\nThis dataset is a recopilation of webs and others datasets that shows in dataset creation section. This contains transla... | [
"TAGS\n#task_categories-translation #language-Spanish #language-Quechua #region-us \n",
"# Spanish to Quechua",
"## Table of Contents\n- Dataset Description\n- Dataset Structure\n- Dataset Creation\n- Considerations for Using the Data\n- team members",
"## Dataset Description\n\nThis dataset is a recopilation... | [
26,
6,
31,
50,
6,
28,
56,
5,
156,
33,
35,
12
] | [
"passage: TAGS\n#task_categories-translation #language-Spanish #language-Quechua #region-us \n# Spanish to Quechua## Table of Contents\n- Dataset Description\n- Dataset Structure\n- Dataset Creation\n- Considerations for Using the Data\n- team members## Dataset Description\n\nThis dataset is a recopilation of webs ... |
c1c124ba6da774db9f83a25fc3f2ee70aa4400d1 |
# Dataset Card for Architext
## Dataset Description
This is the raw training data used to train the Architext models referenced in "Architext: Language-Driven Generative Architecture Design" .
- **Homepage:** https://architext.design/
- **Paper:** https://arxiv.org/abs/2303.07519
- **Point of Contact:** Theodoros G... | THEODOROS/Architext_v1 | [
"task_categories:text-generation",
"size_categories:100K<n<1M",
"language:en",
"license:apache-2.0",
"architecture",
"architext",
"arxiv:2303.07519",
"region:us"
] | 2022-04-03T11:03:17+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["100K<n<1M"], "task_categories": ["text-generation"], "pretty_name": "architext_v1", "tags": ["architecture", "architext"]} | 2023-05-21T06:19:23+00:00 | [
"2303.07519"
] | [
"en"
] | TAGS
#task_categories-text-generation #size_categories-100K<n<1M #language-English #license-apache-2.0 #architecture #architext #arxiv-2303.07519 #region-us
|
# Dataset Card for Architext
## Dataset Description
This is the raw training data used to train the Architext models referenced in "Architext: Language-Driven Generative Architecture Design" .
- Homepage: URL
- Paper: URL
- Point of Contact: Theodoros Galanos (URL
## Dataset Creation
The data were synthetically g... | [
"# Dataset Card for Architext",
"## Dataset Description\nThis is the raw training data used to train the Architext models referenced in \"Architext: Language-Driven Generative Architecture Design\" . \n\n- Homepage: URL\n- Paper: URL\n- Point of Contact: Theodoros Galanos (URL",
"## Dataset Creation\nThe data w... | [
"TAGS\n#task_categories-text-generation #size_categories-100K<n<1M #language-English #license-apache-2.0 #architecture #architext #arxiv-2303.07519 #region-us \n",
"# Dataset Card for Architext",
"## Dataset Description\nThis is the raw training data used to train the Architext models referenced in \"Architext:... | [
55,
7,
56,
42,
100,
28
] | [
"passage: TAGS\n#task_categories-text-generation #size_categories-100K<n<1M #language-English #license-apache-2.0 #architecture #architext #arxiv-2303.07519 #region-us \n# Dataset Card for Architext## Dataset Description\nThis is the raw training data used to train the Architext models referenced in \"Architext: La... |
b5abf557ea371d452dfe7e6847f9f1f2e6f31ef4 | # RockingFace
A distribution of Amp-Space Dataset of x/y pairs audio pairs of input signals and recorded outputs after being processed by an audio effect (amplifier, stompbox, studio tools, etc.) | narad/rockingface | [
"region:us"
] | 2022-04-03T11:21:33+00:00 | {} | 2022-10-03T22:34:40+00:00 | [] | [] | TAGS
#region-us
| # RockingFace
A distribution of Amp-Space Dataset of x/y pairs audio pairs of input signals and recorded outputs after being processed by an audio effect (amplifier, stompbox, studio tools, etc.) | [
"# RockingFace\n\nA distribution of Amp-Space Dataset of x/y pairs audio pairs of input signals and recorded outputs after being processed by an audio effect (amplifier, stompbox, studio tools, etc.)"
] | [
"TAGS\n#region-us \n",
"# RockingFace\n\nA distribution of Amp-Space Dataset of x/y pairs audio pairs of input signals and recorded outputs after being processed by an audio effect (amplifier, stompbox, studio tools, etc.)"
] | [
6,
54
] | [
"passage: TAGS\n#region-us \n# RockingFace\n\nA distribution of Amp-Space Dataset of x/y pairs audio pairs of input signals and recorded outputs after being processed by an audio effect (amplifier, stompbox, studio tools, etc.)"
] |
aa4acbaa7537aa9ae6dc5447dc82e59146ec083e | A synthetic dataset for GAN experiments.
Created with a CLOOB Conditioned Latent Diffusion model (https://github.com/JD-P/cloob-latent-diffusion)
For each color in a list of standard CSS color names, a set of images was generated using the following command:
```
python cfg_sample.py --autoencoder autoencoder_kl_32x3... | johnowhitaker/colorbs | [
"region:us"
] | 2022-04-03T11:24:32+00:00 | {} | 2022-04-04T05:52:33+00:00 | [] | [] | TAGS
#region-us
| A synthetic dataset for GAN experiments.
Created with a CLOOB Conditioned Latent Diffusion model (URL
For each color in a list of standard CSS color names, a set of images was generated using the following command:
| [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
39816326bf8c3499e150a27e13336760e7c3d904 |
## Description
An adaptation of [eHealth-KD Challenge 2020 dataset](https://knowledge-learning.github.io/ehealthkd-2020/), filtered only for the task of NER. Some adaptation of the original dataset have been made:
- BIO annotations
- Errors fixing
- Overlapped entities has been processed as an unique entity
## Data... | fmmolina/eHealth-KD-Adaptation | [
"license:afl-3.0",
"region:us"
] | 2022-04-03T13:04:06+00:00 | {"license": "afl-3.0"} | 2022-04-11T06:16:13+00:00 | [] | [] | TAGS
#license-afl-3.0 #region-us
|
## Description
An adaptation of eHealth-KD Challenge 2020 dataset, filtered only for the task of NER. Some adaptation of the original dataset have been made:
- BIO annotations
- Errors fixing
- Overlapped entities has been processed as an unique entity
## Dataset loading
datasets = load_dataset('json', data_files=... | [
"## Description\n\nAn adaptation of eHealth-KD Challenge 2020 dataset, filtered only for the task of NER. Some adaptation of the original dataset have been made:\n\n- BIO annotations\n- Errors fixing\n- Overlapped entities has been processed as an unique entity",
"## Dataset loading\n\ndatasets = load_dataset('js... | [
"TAGS\n#license-afl-3.0 #region-us \n",
"## Description\n\nAn adaptation of eHealth-KD Challenge 2020 dataset, filtered only for the task of NER. Some adaptation of the original dataset have been made:\n\n- BIO annotations\n- Errors fixing\n- Overlapped entities has been processed as an unique entity",
"## Data... | [
14,
63,
110
] | [
"passage: TAGS\n#license-afl-3.0 #region-us \n## Description\n\nAn adaptation of eHealth-KD Challenge 2020 dataset, filtered only for the task of NER. Some adaptation of the original dataset have been made:\n\n- BIO annotations\n- Errors fixing\n- Overlapped entities has been processed as an unique entity## Dataset... |
193e876ac72cd6b2a7e1ec68ddec7915ef5ff324 |
# Dataset Card for [readability-es-caes]
## Dataset Description
### Dataset Summary
This dataset is a compilation of short articles from websites dedicated to learn Spanish as a second language. These articles have been compiled from the following sources:
- [CAES corpus](http://galvan.usc.es/caes/) (Martínez et ... | hackathon-pln-es/readability-es-caes | [
"task_categories:text-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"language:es",
"license:cc-by-4.0",
"readability",
"region:us"
] | 2022-04-03T20:42:19+00:00 | {"annotations_creators": ["other"], "language_creators": ["other"], "language": ["es"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["unknown"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": [], "pretty_name": "readability-es-caes", "tags":... | 2023-04-13T07:51:40+00:00 | [] | [
"es"
] | TAGS
#task_categories-text-classification #annotations_creators-other #language_creators-other #multilinguality-monolingual #size_categories-unknown #source_datasets-original #language-Spanish #license-cc-by-4.0 #readability #region-us
|
# Dataset Card for [readability-es-caes]
## Dataset Description
### Dataset Summary
This dataset is a compilation of short articles from websites dedicated to learn Spanish as a second language. These articles have been compiled from the following sources:
- CAES corpus (Martínez et al., 2019): the "Corpus de Apr... | [
"# Dataset Card for [readability-es-caes]",
"## Dataset Description",
"### Dataset Summary\n\nThis dataset is a compilation of short articles from websites dedicated to learn Spanish as a second language. These articles have been compiled from the following sources:\n- CAES corpus (Martínez et al., 2019): the \... | [
"TAGS\n#task_categories-text-classification #annotations_creators-other #language_creators-other #multilinguality-monolingual #size_categories-unknown #source_datasets-original #language-Spanish #license-cc-by-4.0 #readability #region-us \n",
"# Dataset Card for [readability-es-caes]",
"## Dataset Description",... | [
77,
14,
4,
118,
5,
20,
92,
5,
19,
29
] | [
"passage: TAGS\n#task_categories-text-classification #annotations_creators-other #language_creators-other #multilinguality-monolingual #size_categories-unknown #source_datasets-original #language-Spanish #license-cc-by-4.0 #readability #region-us \n# Dataset Card for [readability-es-caes]## Dataset Description### D... |
ed0fe1b82f32972a3312f1b5b75c9f97650ce56e |
# Dataset Card of "unam_tesis"
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
- [yiselclavel@gmail.com](mailto:yiselclavel@gmail.com)
- [isaac7isaias@gmail.com](mailto:isaac7isaias@gmail.com)
### Dataset Summary
El dataset unam_tesis cuenta con... | hackathon-pln-es/unam_tesis | [
"task_categories:text-classification",
"task_ids:language-modeling",
"annotations_creators:MajorIsaiah",
"annotations_creators:Ximyer",
"annotations_creators:clavel",
"annotations_creators:inoid",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:n=200",
"source_dat... | 2022-04-03T22:25:31+00:00 | {"annotations_creators": ["MajorIsaiah", "Ximyer", "clavel", "inoid"], "language_creators": ["crowdsourced"], "language": ["es"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": ["n=200"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["langua... | 2023-10-11T13:57:54+00:00 | [] | [
"es"
] | TAGS
#task_categories-text-classification #task_ids-language-modeling #annotations_creators-MajorIsaiah #annotations_creators-Ximyer #annotations_creators-clavel #annotations_creators-inoid #language_creators-crowdsourced #multilinguality-monolingual #size_categories-n=200 #source_datasets-original #language-Spanish #l... | Dataset Card of "unam\_tesis"
=============================
Dataset Description
-------------------
* Homepage:
* Repository:
* Paper:
* Leaderboard:
* Point of Contact:
* yiselclavel@URL
* isaac7isaias@URL
### Dataset Summary
El dataset unam\_tesis cuenta con 1000 tesis de 5 carreras de la Universidad Nacional... | [
"### Dataset Summary\n\n\nEl dataset unam\\_tesis cuenta con 1000 tesis de 5 carreras de la Universidad Nacional Autónoma de México (UNAM), 200 por carrera. Se pretende seguir incrementando este dataset con las demás carreras y más tesis.",
"### Supported Tasks and Leaderboards\n\n\ntext-classification",
"### L... | [
"TAGS\n#task_categories-text-classification #task_ids-language-modeling #annotations_creators-MajorIsaiah #annotations_creators-Ximyer #annotations_creators-clavel #annotations_creators-inoid #language_creators-crowdsourced #multilinguality-monolingual #size_categories-n=200 #source_datasets-original #language-Span... | [
124,
55,
14,
15,
834,
66,
29,
69,
4,
361,
40,
58,
148,
37,
18,
66,
54,
14,
45,
192,
27
] | [
"passage: TAGS\n#task_categories-text-classification #task_ids-language-modeling #annotations_creators-MajorIsaiah #annotations_creators-Ximyer #annotations_creators-clavel #annotations_creators-inoid #language_creators-crowdsourced #multilinguality-monolingual #size_categories-n=200 #source_datasets-original #lang... |
e94ac1f1b72be4a83408f20a8d49ffd98e9724b1 | # Extracción de datos de Reddit
Se descargaron todos los titulos de los hilos de algunas comunidades en español de Reddit entre marzo del 2017 y enero del 2022:
| Comunidad | N° de hilos |
|----------------------------|-------------|
|AskRedditespanol | 28072 |
| BOLIVIA ... | hackathon-pln-es/ITAMA-DataSet | [
"region:us"
] | 2022-04-04T00:21:26+00:00 | {} | 2022-04-04T02:32:20+00:00 | [] | [] | TAGS
#region-us
| Extracción de datos de Reddit
=============================
Se descargaron todos los titulos de los hilos de algunas comunidades en español de Reddit entre marzo del 2017 y enero del 2022:
Etiquetas
=========
Luego, se etiquetaron manualmente algunos de los hilos para marcar AMA vs No AMA.
Se etiquetaron 757 hil... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
66d3e93c84abc82d96ad84beb30bef404f0957ac | The Dataset was built on 2022/03/29 to contribute to improve the representation of the Spanish language in NLP tasks tasks in the HuggingFace platform.
The dataset contains 2,471 tweets obtained from their tweet_id. The dataset considers the following columns:
- Column 1( Status_id): Corresponds to the unique ident... | ManRo/Sexism_Twitter_MeTwo | [
"license:apache-2.0",
"region:us"
] | 2022-04-04T01:15:01+00:00 | {"license": "apache-2.0"} | 2022-04-04T10:46:05+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| The Dataset was built on 2022/03/29 to contribute to improve the representation of the Spanish language in NLP tasks tasks in the HuggingFace platform.
The dataset contains 2,471 tweets obtained from their tweet_id. The dataset considers the following columns:
- Column 1( Status_id): Corresponds to the unique ident... | [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#license-apache-2.0 #region-us \n"
] |
ad894516a8db0f6d292da5b7194b2729f47c02f9 |
Using Google Translation, we have translated SQuAD 2.0 dataset into multiple languages.
Here is the translated dataset of SQuAD 2.0 in French language.
Shared by [Pragnakalp Techlabs](https://www.pragnakalp.com) | pragnakalp/squad_v2_french_translated | [
"multilinguality:monolingual",
"multilinguality:translation",
"language:fr",
"license:apache-2.0",
"region:us"
] | 2022-04-04T04:44:07+00:00 | {"language": "fr", "license": "apache-2.0", "multilinguality": ["monolingual", "translation"]} | 2022-08-29T06:49:15+00:00 | [] | [
"fr"
] | TAGS
#multilinguality-monolingual #multilinguality-translation #language-French #license-apache-2.0 #region-us
|
Using Google Translation, we have translated SQuAD 2.0 dataset into multiple languages.
Here is the translated dataset of SQuAD 2.0 in French language.
Shared by Pragnakalp Techlabs | [] | [
"TAGS\n#multilinguality-monolingual #multilinguality-translation #language-French #license-apache-2.0 #region-us \n"
] | [
35
] | [
"passage: TAGS\n#multilinguality-monolingual #multilinguality-translation #language-French #license-apache-2.0 #region-us \n"
] |
8d5f91d054aafc2a98eacfc2715c031113cd1bc0 | Kaggle based dataset for text classification task. The data has been cleaned and processed for preparation into any model for classification based tasks. This is just 40% of the entire dataset. | ikekobby/40-percent-cleaned-preprocessed-fake-real-news | [
"region:us"
] | 2022-04-04T08:26:47+00:00 | {} | 2022-04-04T08:41:40+00:00 | [] | [] | TAGS
#region-us
| Kaggle based dataset for text classification task. The data has been cleaned and processed for preparation into any model for classification based tasks. This is just 40% of the entire dataset. | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
dae4dcc041f173bc7134be9d562d0f996693aa07 | # Neural Audio Fingerprint Dataset
(c) 2021 by Sungkyun Chang
https://github.com/mimbres/neural-audio-fp
This dataset includes all music sources, background noise and impulse-reponses
(IR) samples that have been used in the work ["Neural Audio Fingerprint for
High-specific Audio Retrieval based on Contrastive Learni... | arch-raven/music-fingerprint-dataset | [
"arxiv:2010.11910",
"region:us"
] | 2022-04-04T09:06:23+00:00 | {} | 2022-04-05T10:48:05+00:00 | [
"2010.11910"
] | [] | TAGS
#arxiv-2010.11910 #region-us
| # Neural Audio Fingerprint Dataset
(c) 2021 by Sungkyun Chang
URL
This dataset includes all music sources, background noise and impulse-reponses
(IR) samples that have been used in the work ["Neural Audio Fingerprint for
High-specific Audio Retrieval based on Contrastive Learning"]
(URL
### Format:
16-bit PCM Mono... | [
"# Neural Audio Fingerprint Dataset\n(c) 2021 by Sungkyun Chang\nURL\n\nThis dataset includes all music sources, background noise and impulse-reponses\n (IR) samples that have been used in the work [\"Neural Audio Fingerprint for\n High-specific Audio Retrieval based on Contrastive Learning\"]\n (URL",
"### Forma... | [
"TAGS\n#arxiv-2010.11910 #region-us \n",
"# Neural Audio Fingerprint Dataset\n(c) 2021 by Sungkyun Chang\nURL\n\nThis dataset includes all music sources, background noise and impulse-reponses\n (IR) samples that have been used in the work [\"Neural Audio Fingerprint for\n High-specific Audio Retrieval based on Co... | [
14,
74,
18,
4,
375,
48
] | [
"passage: TAGS\n#arxiv-2010.11910 #region-us \n# Neural Audio Fingerprint Dataset\n(c) 2021 by Sungkyun Chang\nURL\n\nThis dataset includes all music sources, background noise and impulse-reponses\n (IR) samples that have been used in the work [\"Neural Audio Fingerprint for\n High-specific Audio Retrieval based on... |
b53451cabd92c2481263cf09a14a670e1d8e6f8c |
# Dataset Card for [readability-es-sentences]
## Dataset Description
Compilation of short Spanish articles for readability assessment.
### Dataset Summary
This dataset is a compilation of short articles from websites dedicated to learn Spanish as a second language. These articles have been compiled from the follo... | hackathon-pln-es/readability-es-hackathon-pln-public | [
"task_categories:text-classification",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"language:es",
"license:cc-by-4.0",
"readability",
"region:us"
] | 2022-04-04T09:26:51+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["es"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["unknown"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": [], "pretty_name": "readability-es-sentences", "t... | 2023-04-13T07:51:15+00:00 | [] | [
"es"
] | TAGS
#task_categories-text-classification #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-unknown #source_datasets-original #language-Spanish #license-cc-by-4.0 #readability #region-us
|
# Dataset Card for [readability-es-sentences]
## Dataset Description
Compilation of short Spanish articles for readability assessment.
### Dataset Summary
This dataset is a compilation of short articles from websites dedicated to learn Spanish as a second language. These articles have been compiled from the follo... | [
"# Dataset Card for [readability-es-sentences]",
"## Dataset Description\n\nCompilation of short Spanish articles for readability assessment.",
"### Dataset Summary\n\nThis dataset is a compilation of short articles from websites dedicated to learn Spanish as a second language. These articles have been compiled... | [
"TAGS\n#task_categories-text-classification #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-unknown #source_datasets-original #language-Spanish #license-cc-by-4.0 #readability #region-us \n",
"# Dataset Card for [readability-es-sentences]",
"## Dataset Descript... | [
77,
14,
16,
120,
5,
36,
162,
5,
19,
29
] | [
"passage: TAGS\n#task_categories-text-classification #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-unknown #source_datasets-original #language-Spanish #license-cc-by-4.0 #readability #region-us \n# Dataset Card for [readability-es-sentences]## Dataset Description... |
2e1b744445b279b21a6d1aeacfb3dff8d2acf7fa | This dataset contains images from iNaturalist of butterflies (superfamily Papilionoidea) with at least one fave. Check the descriptions - some images have a licence like CC-BY-NC and can't be used for commercial purposes.
The list of observations was exported from iNaturalist after a query similar to https://www.inat... | huggan/inat_butterflies | [
"region:us"
] | 2022-04-04T09:34:36+00:00 | {} | 2022-04-04T09:53:19+00:00 | [] | [] | TAGS
#region-us
| This dataset contains images from iNaturalist of butterflies (superfamily Papilionoidea) with at least one fave. Check the descriptions - some images have a licence like CC-BY-NC and can't be used for commercial purposes.
The list of observations was exported from iNaturalist after a query similar to URL
The images ... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
d73ccef8b255c317a226912071e92b272c55dc43 |
# Dataset Card for "huggingartists/olga-buzova"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [How to use](#how-to-use)
- [Dataset Structure](#dataset-st... | huggingartists/olga-buzova | [
"language:en",
"huggingartists",
"lyrics",
"region:us"
] | 2022-04-04T10:18:31+00:00 | {"language": ["en"], "tags": ["huggingartists", "lyrics"], "models": ["huggingartists/olga-buzova"]} | 2022-10-25T09:03:54+00:00 | [] | [
"en"
] | TAGS
#language-English #huggingartists #lyrics #region-us
| Dataset Card for "huggingartists/olga-buzova"
=============================================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* How to use
* Dataset Structure
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rati... | [
"### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.",
"### Supported Tasks and Leaderboards",
"### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets librar... | [
"TAGS\n#language-English #huggingartists #lyrics #region-us \n",
"### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.",
"### Supported Tasks and Leaderboards",
"### Languages\n\n\nen\n\n\nHow to use\n-------... | [
19,
35,
10,
44,
28,
41,
7,
4,
10,
10,
5,
5,
9,
18,
7,
8,
14,
6,
84
] | [
"passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\n... |
9fd68bd28031a1f936845bdde6eb3aeb59eeadc9 |
# Dataset Card for "Abkhaz text"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Other Known Limitations](#other-known-limitations)
## Dataset Description
- **Point of Contact:** ... | Nart/abkhaz_text | [
"task_categories:text-generation",
"task_ids:language-modeling",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:original",
"language:ab",
"license:cc0-1.0",
"region:us"
] | 2022-04-04T10:57:51+00:00 | {"language_creators": ["expert-generated"], "language": ["ab"], "license": ["cc0-1.0"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["original"], "task_categories": ["text-generation"], "task_ids": ["language-modeling"], "pretty_name": "Abkhaz monolingual corpus"} | 2022-11-01T10:53:17+00:00 | [] | [
"ab"
] | TAGS
#task_categories-text-generation #task_ids-language-modeling #language_creators-expert-generated #multilinguality-monolingual #size_categories-1M<n<10M #source_datasets-original #language-Abkhazian #license-cc0-1.0 #region-us
|
# Dataset Card for "Abkhaz text"
## Table of Contents
- Dataset Description
- Dataset Summary
- Considerations for Using the Data
- Other Known Limitations
## Dataset Description
- Point of Contact: Nart Tlisha
- Size of the generated dataset: 176 MB
### Dataset Summary
The Abkhaz language monolingual dataset ... | [
"# Dataset Card for \"Abkhaz text\"",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n- Considerations for Using the Data\n - Other Known Limitations",
"## Dataset Description\n- Point of Contact: Nart Tlisha\n- Size of the generated dataset: 176 MB",
"### Dataset Summary\n\nThe Abkhaz lan... | [
"TAGS\n#task_categories-text-generation #task_ids-language-modeling #language_creators-expert-generated #multilinguality-monolingual #size_categories-1M<n<10M #source_datasets-original #language-Abkhazian #license-cc0-1.0 #region-us \n",
"# Dataset Card for \"Abkhaz text\"",
"## Table of Contents\n- Dataset Des... | [
81,
11,
28,
25,
68,
5,
21,
8,
29
] | [
"passage: TAGS\n#task_categories-text-generation #task_ids-language-modeling #language_creators-expert-generated #multilinguality-monolingual #size_categories-1M<n<10M #source_datasets-original #language-Abkhazian #license-cc0-1.0 #region-us \n# Dataset Card for \"Abkhaz text\"## Table of Contents\n- Dataset Descri... |
49f91f486696456ead1685e46fbd63e6520f2537 | Filtered version of https://huggingface.co/datasets/huggan/inat_butterflies
To pick the best images, CLIP was used to compare each image with a text description of a good image ("")
Notebook for the filtering: https://colab.research.google.com/drive/1OEqr1TtL4YJhdj_bebNWXRuG3f2YqtQE?usp=sharing
See the original data... | huggan/inat_butterflies_top10k | [
"region:us"
] | 2022-04-04T11:45:06+00:00 | {} | 2022-04-04T11:50:28+00:00 | [] | [] | TAGS
#region-us
| Filtered version of URL
To pick the best images, CLIP was used to compare each image with a text description of a good image ("")
Notebook for the filtering: URL
See the original dataset for sources and licence caveats (tl;dr check the image descriptions to make sure you aren't breaking a licence like CC-BY-NC-ND wh... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
596623eb34923ccd0eb540ea1f737cd09c304e58 |
# Dataset Description
## Dataset Summary
This dataset was parsed from the Human-HIV Interaction dataset maintained by the NCBI.
It contains a >16,000 pairs of interactions between HIV and Human proteins.
Sequences of the interacting proteins were retrieved from the NCBI protein database and added to the dataset.
... | damlab/human_hiv_ppi | [
"license:mit",
"region:us"
] | 2022-04-04T13:24:30+00:00 | {"license": "mit"} | 2022-04-04T13:38:49+00:00 | [] | [] | TAGS
#license-mit #region-us
|
# Dataset Description
## Dataset Summary
This dataset was parsed from the Human-HIV Interaction dataset maintained by the NCBI.
It contains a >16,000 pairs of interactions between HIV and Human proteins.
Sequences of the interacting proteins were retrieved from the NCBI protein database and added to the dataset.
... | [
"# Dataset Description",
"## Dataset Summary\n\nThis dataset was parsed from the Human-HIV Interaction dataset maintained by the NCBI. \nIt contains a >16,000 pairs of interactions between HIV and Human proteins.\nSequences of the interacting proteins were retrieved from the NCBI protein database and added to the... | [
"TAGS\n#license-mit #region-us \n",
"# Dataset Description",
"## Dataset Summary\n\nThis dataset was parsed from the Human-HIV Interaction dataset maintained by the NCBI. \nIt contains a >16,000 pairs of interactions between HIV and Human proteins.\nSequences of the interacting proteins were retrieved from the ... | [
11,
4,
104,
6,
74,
65,
68,
22
] | [
"passage: TAGS\n#license-mit #region-us \n# Dataset Description## Dataset Summary\n\nThis dataset was parsed from the Human-HIV Interaction dataset maintained by the NCBI. \nIt contains a >16,000 pairs of interactions between HIV and Human proteins.\nSequences of the interacting proteins were retrieved from the NCB... |
484a5ad065c06cb4e04333ed4e4947a7e0373192 |
Collection of pinned butterfly images from the Smithsonian https://www.si.edu/spotlight/buginfo/butterfly
Doesn't include metadata yet!
Url pattern: "https://ids.si.edu/ids/deliveryService?max_w=550&id=ark:/65665/m3c70e17cf30314fd4ad86afa7d1ebf49f"
Added sketch versions!
sketch_pidinet is generated by : htt... | huggan/smithsonian-butterfly-lowres | [
"license:cc0-1.0",
"region:us"
] | 2022-04-04T17:45:28+00:00 | {"license": "cc0-1.0"} | 2022-04-06T18:57:24+00:00 | [] | [] | TAGS
#license-cc0-1.0 #region-us
|
Collection of pinned butterfly images from the Smithsonian URL
Doesn't include metadata yet!
Url pattern: "URL
Added sketch versions!
sketch_pidinet is generated by : URL
sketch_pix2pix is generated by : URL
| [] | [
"TAGS\n#license-cc0-1.0 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#license-cc0-1.0 #region-us \n"
] |
dd2d9cbe7ba3139d1f48096e3f19ce2eba4d27eb |
# Dataset Card for the-reddit-dataset-dataset
## 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](... | SocialGrep/the-reddit-dataset-dataset | [
"annotations_creators:lexyr",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:cc-by-4.0",
"region:us"
] | 2022-04-04T19:47:35+00:00 | {"annotations_creators": ["lexyr"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"]} | 2022-07-01T16:55:48+00:00 | [] | [
"en"
] | TAGS
#annotations_creators-lexyr #language_creators-crowdsourced #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-cc-by-4.0 #region-us
|
# Dataset Card for the-reddit-dataset-dataset
## 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 ... | [
"# Dataset Card for the-reddit-dataset-dataset",
"## 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 - Annot... | [
"TAGS\n#annotations_creators-lexyr #language_creators-crowdsourced #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-cc-by-4.0 #region-us \n",
"# Dataset Card for the-reddit-dataset-dataset",
"## Table of Contents\n- Dataset Description\n - Dataset Su... | [
69,
15,
107,
14,
23,
8,
6,
41,
302,
5,
11
] | [
"passage: TAGS\n#annotations_creators-lexyr #language_creators-crowdsourced #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-cc-by-4.0 #region-us \n# Dataset Card for the-reddit-dataset-dataset## Table of Contents\n- Dataset Description\n - Dataset Summa... |
c50846883a030dd8930ee5788524902b10439b63 |
# Dataset Card for JetClass
## Table of Contents
- [Dataset Card for [Dataset Name]](#dataset-card-for-dataset-name)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-a... | jet-universe/jetclass | [
"license:mit",
"arxiv:2202.03772",
"region:us"
] | 2022-04-05T06:32:22+00:00 | {"license": "mit"} | 2022-05-27T18:00:45+00:00 | [
"2202.03772"
] | [] | TAGS
#license-mit #arxiv-2202.03772 #region-us
|
# Dataset Card for JetClass
## Table of Contents
- [Dataset Card for [Dataset Name]](#dataset-card-for-dataset-name)
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
... | [
"# Dataset Card for JetClass",
"## Table of Contents\r\n- [Dataset Card for [Dataset Name]](#dataset-card-for-dataset-name)\r\n - Table of Contents\r\n - Dataset Description\r\n - Dataset Summary\r\n - Supported Tasks and Leaderboards\r\n - Languages\r\n - Dataset Structure\r\n - Data Instances\r\n... | [
"TAGS\n#license-mit #arxiv-2202.03772 #region-us \n",
"# Dataset Card for JetClass",
"## Table of Contents\r\n- [Dataset Card for [Dataset Name]](#dataset-card-for-dataset-name)\r\n - Table of Contents\r\n - Dataset Description\r\n - Dataset Summary\r\n - Supported Tasks and Leaderboards\r\n - Langua... | [
19,
7,
180,
29,
431,
10,
4,
6,
6,
5,
5,
5,
7,
4,
10,
10,
5,
5,
9,
8,
8,
7,
8,
7,
5,
6,
18,
16
] | [
"passage: TAGS\n#license-mit #arxiv-2202.03772 #region-us \n# Dataset Card for JetClass## Table of Contents\r\n- [Dataset Card for [Dataset Name]](#dataset-card-for-dataset-name)\r\n - Table of Contents\r\n - Dataset Description\r\n - Dataset Summary\r\n - Supported Tasks and Leaderboards\r\n - Languages... |
8a7e41314267b68ddb15d3c9da012b9c98bf2a78 |
# MInDS-14
## Dataset Description
- **Fine-Tuning script:** [pytorch/audio-classification](https://github.com/huggingface/transformers/tree/main/examples/pytorch/audio-classification)
- **Paper:** [Multilingual and Cross-Lingual Intent Detection from Spoken Data](https://arxiv.org/abs/2104.08524)
- **Total amount of... | PolyAI/minds14 | [
"task_categories:automatic-speech-recognition",
"task_ids:keyword-spotting",
"annotations_creators:expert-generated",
"annotations_creators:crowdsourced",
"annotations_creators:machine-generated",
"language_creators:crowdsourced",
"language_creators:expert-generated",
"multilinguality:multilingual",
... | 2022-04-05T06:46:13+00:00 | {"annotations_creators": ["expert-generated", "crowdsourced", "machine-generated"], "language_creators": ["crowdsourced", "expert-generated"], "language": ["en", "fr", "it", "es", "pt", "de", "nl", "ru", "pl", "cs", "ko", "zh"], "license": ["cc-by-4.0"], "multilinguality": ["multilingual"], "size_categories": ["10K<n<1... | 2024-01-22T23:15:06+00:00 | [
"2104.08524"
] | [
"en",
"fr",
"it",
"es",
"pt",
"de",
"nl",
"ru",
"pl",
"cs",
"ko",
"zh"
] | TAGS
#task_categories-automatic-speech-recognition #task_ids-keyword-spotting #annotations_creators-expert-generated #annotations_creators-crowdsourced #annotations_creators-machine-generated #language_creators-crowdsourced #language_creators-expert-generated #multilinguality-multilingual #size_categories-10K<n<100K #l... |
# MInDS-14
## Dataset Description
- Fine-Tuning script: pytorch/audio-classification
- Paper: Multilingual and Cross-Lingual Intent Detection from Spoken Data
- Total amount of disk used: ca. 500 MB
MINDS-14 is training and evaluation resource for intent detection task with spoken data. It covers 14
intents extra... | [
"# MInDS-14",
"## Dataset Description\n\n- Fine-Tuning script: pytorch/audio-classification\n- Paper: Multilingual and Cross-Lingual Intent Detection from Spoken Data\n- Total amount of disk used: ca. 500 MB \n\nMINDS-14 is training and evaluation resource for intent detection task with spoken data. It covers 14 ... | [
"TAGS\n#task_categories-automatic-speech-recognition #task_ids-keyword-spotting #annotations_creators-expert-generated #annotations_creators-crowdsourced #annotations_creators-machine-generated #language_creators-crowdsourced #language_creators-expert-generated #multilinguality-multilingual #size_categories-10K<n<1... | [
194,
5,
102,
17,
33,
63,
98,
29,
5,
8,
7,
8,
7,
5,
6,
23,
18
] | [
"passage: TAGS\n#task_categories-automatic-speech-recognition #task_ids-keyword-spotting #annotations_creators-expert-generated #annotations_creators-crowdsourced #annotations_creators-machine-generated #language_creators-crowdsourced #language_creators-expert-generated #multilinguality-multilingual #size_categorie... |
6342d0716fac4e248c53a27039c7d30ccaa9342b | # AutoTrain Dataset for project: sentiment_analysis_project
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project sentiment_analysis_project.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset... | ramnika003/autotrain-data-sentiment_analysis_project | [
"task_categories:text-classification",
"region:us"
] | 2022-04-05T08:13:43+00:00 | {"task_categories": ["text-classification"]} | 2022-04-05T08:16:59+00:00 | [] | [] | TAGS
#task_categories-text-classification #region-us
| AutoTrain Dataset for project: sentiment\_analysis\_project
===========================================================
Dataset Descritpion
-------------------
This dataset has been automatically processed by AutoTrain for project sentiment\_analysis\_project.
### Languages
The BCP-47 code for the dataset's lan... | [
"### 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-text-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:",
"### Dataset Fields\n\n\nThe dataset has the following fields (... | [
17,
27,
17,
23,
27
] | [
"passage: TAGS\n#task_categories-text-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:### Dataset Fields\n\n\nThe dataset has the following fields (also call... |
8ec4ba6640805906d0c61886e65810c8ee78a982 |
# Dataset Card for the-reddit-place-dataset
## 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](#d... | SocialGrep/the-reddit-place-dataset | [
"annotations_creators:lexyr",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:original",
"language:en",
"license:cc-by-4.0",
"region:us"
] | 2022-04-05T20:25:45+00:00 | {"annotations_creators": ["lexyr"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["original"]} | 2022-07-01T16:51:57+00:00 | [] | [
"en"
] | TAGS
#annotations_creators-lexyr #language_creators-crowdsourced #multilinguality-monolingual #size_categories-1M<n<10M #source_datasets-original #language-English #license-cc-by-4.0 #region-us
|
# Dataset Card for the-reddit-place-dataset
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal an... | [
"# Dataset Card for the-reddit-place-dataset",
"## 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 - Annotat... | [
"TAGS\n#annotations_creators-lexyr #language_creators-crowdsourced #multilinguality-monolingual #size_categories-1M<n<10M #source_datasets-original #language-English #license-cc-by-4.0 #region-us \n",
"# Dataset Card for the-reddit-place-dataset",
"## Table of Contents\n- Dataset Description\n - Dataset Summar... | [
69,
14,
107,
14,
22,
8,
6,
41,
302,
5,
11
] | [
"passage: TAGS\n#annotations_creators-lexyr #language_creators-crowdsourced #multilinguality-monolingual #size_categories-1M<n<10M #source_datasets-original #language-English #license-cc-by-4.0 #region-us \n# Dataset Card for the-reddit-place-dataset## Table of Contents\n- Dataset Description\n - Dataset Summary\n... |
66f430a1252ea1732413a80a56a1b6e8bc74264e |
The RVL-CDIP (Ryerson Vision Lab Complex Document Information Processing) dataset consists of 400,000 grayscale images in 16 classes, with 25,000 images per class. There are 320,000 training images, 40,000 validation images, and 40,000 test images. The images are sized so their largest dimension does not exceed 1000 ... | chainyo/rvl-cdip | [
"license:other",
"region:us"
] | 2022-04-06T06:06:56+00:00 | {"license": "other"} | 2022-04-06T15:49:20+00:00 | [] | [] | TAGS
#license-other #region-us
|
The RVL-CDIP (Ryerson Vision Lab Complex Document Information Processing) dataset consists of 400,000 grayscale images in 16 classes, with 25,000 images per class. There are 320,000 training images, 40,000 validation images, and 40,000 test images. The images are sized so their largest dimension does not exceed 1000 ... | [
"## Labels\r\n\r\n 0: advertissement \r\n 1: budget \r\n 2: email \r\n 3: file folder \r\n 4: form \r\n 5: handwritten \r\n 6: invoice \r\n 7: letter \r\n 8: memo \r\n 9: news article \r\n10: presentation \r\n11: questionnaire \r\n12: resume \r\n13: scientific publication \r\n14: scientif... | [
"TAGS\n#license-other #region-us \n",
"## Labels\r\n\r\n 0: advertissement \r\n 1: budget \r\n 2: email \r\n 3: file folder \r\n 4: form \r\n 5: handwritten \r\n 6: invoice \r\n 7: letter \r\n 8: memo \r\n 9: news article \r\n10: presentation \r\n11: questionnaire \r\n12: resume \r\n13: s... | [
11,
115,
39,
99
] | [
"passage: TAGS\n#license-other #region-us \n## Labels\r\n\r\n 0: advertissement \r\n 1: budget \r\n 2: email \r\n 3: file folder \r\n 4: form \r\n 5: handwritten \r\n 6: invoice \r\n 7: letter \r\n 8: memo \r\n 9: news article \r\n10: presentation \r\n11: questionnaire \r\n12: resume \r\n13... |
b646090ef0d09981da9c9765c4d376b407aa5955 |
# An Amharic News Text classification Dataset
> In NLP, text classification is one of the primary problems we try to solve and its uses in language analyses are indisputable. The lack of labeled training data made it harder to do these tasks in low resource languages like Amharic. The task of collecting, labeling... | israel/Amharic-News-Text-classification-Dataset | [
"license:cc-by-4.0",
"arxiv:2103.05639",
"region:us"
] | 2022-04-06T08:20:35+00:00 | {"license": "cc-by-4.0"} | 2022-04-06T08:27:52+00:00 | [
"2103.05639"
] | [] | TAGS
#license-cc-by-4.0 #arxiv-2103.05639 #region-us
|
# An Amharic News Text classification Dataset
> In NLP, text classification is one of the primary problems we try to solve and its uses in language analyses are indisputable. The lack of labeled training data made it harder to do these tasks in low resource languages like Amharic. The task of collecting, labeling... | [
"# An Amharic News Text classification Dataset \r\n\r\n> In NLP, text classification is one of the primary problems we try to solve and its uses in language analyses are indisputable. The lack of labeled training data made it harder to do these tasks in low resource languages like Amharic. The task of collecting, l... | [
"TAGS\n#license-cc-by-4.0 #arxiv-2103.05639 #region-us \n",
"# An Amharic News Text classification Dataset \r\n\r\n> In NLP, text classification is one of the primary problems we try to solve and its uses in language analyses are indisputable. The lack of labeled training data made it harder to do these tasks in ... | [
23,
165
] | [
"passage: TAGS\n#license-cc-by-4.0 #arxiv-2103.05639 #region-us \n# An Amharic News Text classification Dataset \r\n\r\n> In NLP, text classification is one of the primary problems we try to solve and its uses in language analyses are indisputable. The lack of labeled training data made it harder to do these tasks ... |
d559852d2b232e0fcf195e775866964f0564f2b5 |
## Dataset Description
- **Homepage:** https://www.wikiart.org/
### Dataset Summary
Dataset containing 81,444 pieces of visual art from various artists, taken from WikiArt.org,
along with class labels for each image :
* "artist" : 129 artist classes, including a "Unknown Artist" class
* "genre" : 11 genre classes,... | huggan/wikiart | [
"task_categories:image-classification",
"task_categories:text-to-image",
"task_categories:image-to-text",
"size_categories:10K<n<100K",
"license:unknown",
"art",
"region:us"
] | 2022-04-06T08:40:18+00:00 | {"license": "unknown", "size_categories": ["10K<n<100K"], "task_categories": ["image-classification", "text-to-image", "image-to-text"], "license_details": "Data files \u00a9 Original Authors", "tags": ["art"]} | 2023-03-22T13:56:08+00:00 | [] | [] | TAGS
#task_categories-image-classification #task_categories-text-to-image #task_categories-image-to-text #size_categories-10K<n<100K #license-unknown #art #region-us
|
## Dataset Description
- Homepage: URL
### Dataset Summary
Dataset containing 81,444 pieces of visual art from various artists, taken from URL,
along with class labels for each image :
* "artist" : 129 artist classes, including a "Unknown Artist" class
* "genre" : 11 genre classes, including a "Unknown Genre" clas... | [
"## Dataset Description\n\n- Homepage: URL",
"### Dataset Summary\n\nDataset containing 81,444 pieces of visual art from various artists, taken from URL,\nalong with class labels for each image :\n\n* \"artist\" : 129 artist classes, including a \"Unknown Artist\" class\n* \"genre\" : 11 genre classes, including ... | [
"TAGS\n#task_categories-image-classification #task_categories-text-to-image #task_categories-image-to-text #size_categories-10K<n<100K #license-unknown #art #region-us \n",
"## Dataset Description\n\n- Homepage: URL",
"### Dataset Summary\n\nDataset containing 81,444 pieces of visual art from various artists, t... | [
62,
8,
306,
59,
20,
79,
17
] | [
"passage: TAGS\n#task_categories-image-classification #task_categories-text-to-image #task_categories-image-to-text #size_categories-10K<n<100K #license-unknown #art #region-us \n## Dataset Description\n\n- Homepage: URL### Dataset Summary\n\nDataset containing 81,444 pieces of visual art from various artists, take... |
6aa6bccd5e72aac4a0e6d32b140564390a8a165a | - This is a personal convenience copy of the binary Hate Speech (HS) dataset used in the T-Miner paper on defending against trojan attacks on text classifiers: https://arxiv.org/pdf/2103.04264.pdf
- The dataset is sourced from the original paper\'s Github repository: https://github.com/reza321/T-Miner
- Label mapping... | nealmgkr/tminer_hs | [
"arxiv:2103.04264",
"region:us"
] | 2022-04-06T08:41:13+00:00 | {} | 2022-04-06T08:45:48+00:00 | [
"2103.04264"
] | [] | TAGS
#arxiv-2103.04264 #region-us
| - This is a personal convenience copy of the binary Hate Speech (HS) dataset used in the T-Miner paper on defending against trojan attacks on text classifiers: URL
- The dataset is sourced from the original paper\'s Github repository: URL
- Label mapping:
- 0 = hate speech
- 1 = normal speech
- If you use this d... | [] | [
"TAGS\n#arxiv-2103.04264 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#arxiv-2103.04264 #region-us \n"
] |
1cad77bdc16e9965ba15285d5fc9ca347d6cec3a |
# Dataset Card for MTet
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
... | albertvillanova/mtet | [
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:translation",
"size_categories:1M<n<10M",
"source_datasets:original",
"source_datasets:extended|bible_para",
"source_datasets:extended|kde4",
"source_datasets:extended|opus_gnome",
"source_datasets:extended|open_subtit... | 2022-04-06T09:25:42+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["en", "vi"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["translation"], "size_categories": ["1M<n<10M"], "source_datasets": ["original", "extended|bible_para", "extended|kde4", "extended|opus_gnome", "extended|open_subtitl... | 2022-10-08T06:42:34+00:00 | [] | [
"en",
"vi"
] | TAGS
#annotations_creators-no-annotation #language_creators-found #multilinguality-translation #size_categories-1M<n<10M #source_datasets-original #source_datasets-extended|bible_para #source_datasets-extended|kde4 #source_datasets-extended|opus_gnome #source_datasets-extended|open_subtitles #source_datasets-extended|t... | Dataset Card for MTet
=====================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+... | [
"### Dataset Summary\n\n\nMTet (Multi-domain Translation for English-Vietnamese) dataset contains roughly 4.2 million English-Vietnamese pairs of\ntexts, ranging across multiple different domains such as medical publications, religious texts, engineering articles,\nliterature, news, and poems.\n\n\nThis dataset ext... | [
"TAGS\n#annotations_creators-no-annotation #language_creators-found #multilinguality-translation #size_categories-1M<n<10M #source_datasets-original #source_datasets-extended|bible_para #source_datasets-extended|kde4 #source_datasets-extended|opus_gnome #source_datasets-extended|open_subtitles #source_datasets-exte... | [
153,
112,
13,
35,
6,
32,
24,
7,
4,
10,
10,
5,
5,
9,
18,
7,
8,
14,
6,
27,
18
] | [
"passage: TAGS\n#annotations_creators-no-annotation #language_creators-found #multilinguality-translation #size_categories-1M<n<10M #source_datasets-original #source_datasets-extended|bible_para #source_datasets-extended|kde4 #source_datasets-extended|opus_gnome #source_datasets-extended|open_subtitles #source_data... |
8d2332e07e64ae6adbc81586b8778785e2a80c29 |
# Dataset Card for french-open-fiscal-texts
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
... | StanBienaives/french-open-fiscal-texts | [
"language:fr",
"region:us"
] | 2022-04-06T10:42:06+00:00 | {"language": ["fr"]} | 2024-01-15T10:05:08+00:00 | [] | [
"fr"
] | TAGS
#language-French #region-us
|
# Dataset Card for french-open-fiscal-texts
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal and Sensitive Infor... | [
"# Dataset Card for french-open-fiscal-texts",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotations\n - Persona... | [
"TAGS\n#language-French #region-us \n",
"# Dataset Card for french-open-fiscal-texts",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n -... | [
12,
15,
112,
25,
39,
10,
7,
6,
6,
55,
7,
5,
37,
4,
48,
12,
5,
5,
9,
8,
8,
7,
8,
7,
5,
6,
6
] | [
"passage: TAGS\n#language-French #region-us \n# Dataset Card for french-open-fiscal-texts## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - So... |
1d8fa78d643f0207bfac31f2e42c056769e16fed |
## Common User Intentions
#### Greetings
- Wasemaje
- uko aje btw
- oyah...
- Form
- Alafu niaje
- Poa Sana Mambo
- Niko poa
- Pia Mimi Niko salama
- Hope siku yako iko poa
- Siko poa kabisa
- Nimekuwa poa
- Umeshindaje
- Hope uko poa
- uko poa
- Sasa
- Vipi vipi
- Niko salama
- ..its been long.
... | JeunesseAfricaine/sheng_nlu | [
"license:mit",
"region:us"
] | 2022-04-06T10:51:04+00:00 | {"license": "mit"} | 2022-04-06T12:03:27+00:00 | [] | [] | TAGS
#license-mit #region-us
|
## Common User Intentions
#### Greetings
- Wasemaje
- uko aje btw
- oyah...
- Form
- Alafu niaje
- Poa Sana Mambo
- Niko poa
- Pia Mimi Niko salama
- Hope siku yako iko poa
- Siko poa kabisa
- Nimekuwa poa
- Umeshindaje
- Hope uko poa
- uko poa
- Sasa
- Vipi vipi
- Niko salama
- ..its been long.
... | [
"## Common User Intentions",
"#### Greetings\r\n- Wasemaje\r\n- uko aje btw\r\n- oyah...\r\n- Form\r\n- Alafu niaje\r\n- Poa Sana Mambo\r\n- Niko poa\r\n- Pia Mimi Niko salama\r\n- Hope siku yako iko poa\r\n- Siko poa kabisa\r\n- Nimekuwa poa\r\n- Umeshindaje\r\n- Hope uko poa\r\n- uko poa\r\n- Sasa\r\n- Vipi vip... | [
"TAGS\n#license-mit #region-us \n",
"## Common User Intentions",
"#### Greetings\r\n- Wasemaje\r\n- uko aje btw\r\n- oyah...\r\n- Form\r\n- Alafu niaje\r\n- Poa Sana Mambo\r\n- Niko poa\r\n- Pia Mimi Niko salama\r\n- Hope siku yako iko poa\r\n- Siko poa kabisa\r\n- Nimekuwa poa\r\n- Umeshindaje\r\n- Hope uko po... | [
11,
6,
151,
331,
101,
125,
278,
79,
175,
70,
142,
62,
639
] | [
"passage: TAGS\n#license-mit #region-us \n## Common User Intentions#### Greetings\r\n- Wasemaje\r\n- uko aje btw\r\n- oyah...\r\n- Form\r\n- Alafu niaje\r\n- Poa Sana Mambo\r\n- Niko poa\r\n- Pia Mimi Niko salama\r\n- Hope siku yako iko poa\r\n- Siko poa kabisa\r\n- Nimekuwa poa\r\n- Umeshindaje\r\n- Hope uko poa\r... |
70b2d68664a3c8e841f426cf8e43f4f669a75017 |
⚠️ This only a subpart of the original dataset, containing only `questionnaire`.
The RVL-CDIP (Ryerson Vision Lab Complex Document Information Processing) dataset consists of 400,000 grayscale images in 16 classes, with 25,000 images per class. There are 320,000 training images, 40,000 validation images, and 40,000 t... | chainyo/rvl-cdip-questionnaire | [
"license:other",
"region:us"
] | 2022-04-06T15:34:49+00:00 | {"license": "other"} | 2022-04-06T15:45:26+00:00 | [] | [] | TAGS
#license-other #region-us
|
️ This only a subpart of the original dataset, containing only 'questionnaire'.
The RVL-CDIP (Ryerson Vision Lab Complex Document Information Processing) dataset consists of 400,000 grayscale images in 16 classes, with 25,000 images per class. There are 320,000 training images, 40,000 validation images, and 40,000 te... | [
"## Labels\n\n 0: letter \n 1: form \n 2: email \n 3: handwritten \n 4: advertissement \n 5: scientific report \n 6: scientific publication \n 7: specification \n 8: file folder \n 9: news article \n10: budget \n11: invoice \n12: presentation \n13: questionnaire \n14: resume \n15: memo ... | [
"TAGS\n#license-other #region-us \n",
"## Labels\n\n 0: letter \n 1: form \n 2: email \n 3: handwritten \n 4: advertissement \n 5: scientific report \n 6: scientific publication \n 7: specification \n 8: file folder \n 9: news article \n10: budget \n11: invoice \n12: presentation \n13: qu... | [
11,
115,
39,
99
] | [
"passage: TAGS\n#license-other #region-us \n## Labels\n\n 0: letter \n 1: form \n 2: email \n 3: handwritten \n 4: advertissement \n 5: scientific report \n 6: scientific publication \n 7: specification \n 8: file folder \n 9: news article \n10: budget \n11: invoice \n12: presentation \n13:... |
fad615c9ceaecb4476b0a01f29c0a15b276b3a2b |
⚠️ This only a subpart of the original dataset, containing only `invoice`.
The RVL-CDIP (Ryerson Vision Lab Complex Document Information Processing) dataset consists of 400,000 grayscale images in 16 classes, with 25,000 images per class. There are 320,000 training images, 40,000 validation images, and 40,000 test im... | chainyo/rvl-cdip-invoice | [
"license:other",
"region:us"
] | 2022-04-06T15:52:14+00:00 | {"license": "other"} | 2022-04-06T15:57:20+00:00 | [] | [] | TAGS
#license-other #region-us
|
️ This only a subpart of the original dataset, containing only 'invoice'.
The RVL-CDIP (Ryerson Vision Lab Complex Document Information Processing) dataset consists of 400,000 grayscale images in 16 classes, with 25,000 images per class. There are 320,000 training images, 40,000 validation images, and 40,000 test ima... | [
"## Labels\n\n 0: letter \n 1: form \n 2: email \n 3: handwritten \n 4: advertissement \n 5: scientific report \n 6: scientific publication \n 7: specification \n 8: file folder \n 9: news article \n10: budget \n11: invoice \n12: presentation \n13: questionnaire \n14: resume \n15: memo ... | [
"TAGS\n#license-other #region-us \n",
"## Labels\n\n 0: letter \n 1: form \n 2: email \n 3: handwritten \n 4: advertissement \n 5: scientific report \n 6: scientific publication \n 7: specification \n 8: file folder \n 9: news article \n10: budget \n11: invoice \n12: presentation \n13: qu... | [
11,
115,
39,
99
] | [
"passage: TAGS\n#license-other #region-us \n## Labels\n\n 0: letter \n 1: form \n 2: email \n 3: handwritten \n 4: advertissement \n 5: scientific report \n 6: scientific publication \n 7: specification \n 8: file folder \n 9: news article \n10: budget \n11: invoice \n12: presentation \n13:... |
65bffe2a1449459207f82c5ed130487e74916cbf | # Dataset Card for Ukr-Synth
## Dataset Description
### Dataset Summary
Large silver standard Ukrainian corpus annotated with morphology tags, syntax trees and PER, LOC, ORG NER-tags.
Represents a subsample of [Leipzig Corpora Collection for Ukrainian Language](https://wortschatz.uni-leipzig.de/en/download/Ukrainian... | ukr-models/Ukr-Synth | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"task_ids:parsing",
"task_ids:part-of-speech",
"annotations_creators:machine-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"language:uk",
"license:mit",
"region:us"
] | 2022-04-06T16:13:34+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["found"], "language": ["uk"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognition", "parsing", "part-of-speech"], "pretty_name": ... | 2023-08-31T08:35:43+00:00 | [] | [
"uk"
] | TAGS
#task_categories-token-classification #task_ids-named-entity-recognition #task_ids-parsing #task_ids-part-of-speech #annotations_creators-machine-generated #language_creators-found #multilinguality-monolingual #size_categories-1M<n<10M #language-Ukrainian #license-mit #region-us
| Dataset Card for Ukr-Synth
==========================
Dataset Description
-------------------
### Dataset Summary
Large silver standard Ukrainian corpus annotated with morphology tags, syntax trees and PER, LOC, ORG NER-tags.
Represents a subsample of Leipzig Corpora Collection for Ukrainian Language. The source ... | [
"### Dataset Summary\n\n\nLarge silver standard Ukrainian corpus annotated with morphology tags, syntax trees and PER, LOC, ORG NER-tags.\nRepresents a subsample of Leipzig Corpora Collection for Ukrainian Language. The source texts are newspaper texts split into sentences and shuffled. The sentrences are annotated... | [
"TAGS\n#task_categories-token-classification #task_ids-named-entity-recognition #task_ids-parsing #task_ids-part-of-speech #annotations_creators-machine-generated #language_creators-found #multilinguality-monolingual #size_categories-1M<n<10M #language-Ukrainian #license-mit #region-us \n",
"### Dataset Summary\n... | [
106,
96,
13,
11,
74,
301
] | [
"passage: TAGS\n#task_categories-token-classification #task_ids-named-entity-recognition #task_ids-parsing #task_ids-part-of-speech #annotations_creators-machine-generated #language_creators-found #multilinguality-monolingual #size_categories-1M<n<10M #language-Ukrainian #license-mit #region-us \n### Dataset Summar... |
3ae28881776a1a2f797fa1c2273f16136908c3ff |
# Dataset Card for BibleNLP Corpus
### Dataset Summary
Partial and complete Bible translations in 833 languages, aligned by verse.
### Languages
aai, aak, aau, aaz, abt, abx, aby, acf, acr, acu, adz, aer, aey, agd, agg, agm, agn, agr, agt, agu, aia, aii, aka, ake, alp, alq, als, aly, ame, amf, amk, amm, amn, amo, am... | bible-nlp/biblenlp-corpus | [
"task_categories:translation",
"annotations_creators:no-annotation",
"language_creators:expert-generated",
"multilinguality:translation",
"multilinguality:multilingual",
"size_categories:1M<n<10M",
"source_datasets:original",
"language:aai",
"language:aak",
"language:aau",
"language:aaz",
"lan... | 2022-04-07T02:04:02+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["expert-generated"], "language": ["aai", "aak", "aau", "aaz", "abt", "abx", "aby", "acf", "acr", "acu", "adz", "aer", "aey", "agd", "agg", "agm", "agn", "agr", "agt", "agu", "aia", "aii", "aka", "ake", "alp", "alq", "als", "aly", "ame", "amf", "amk", "am... | 2023-07-21T10:56:30+00:00 | [] | [
"aai",
"aak",
"aau",
"aaz",
"abt",
"abx",
"aby",
"acf",
"acr",
"acu",
"adz",
"aer",
"aey",
"agd",
"agg",
"agm",
"agn",
"agr",
"agt",
"agu",
"aia",
"aii",
"aka",
"ake",
"alp",
"alq",
"als",
"aly",
"ame",
"amf",
"amk",
"amm",
"amn",
"amo",
"amp",
"... | TAGS
#task_categories-translation #annotations_creators-no-annotation #language_creators-expert-generated #multilinguality-translation #multilinguality-multilingual #size_categories-1M<n<10M #source_datasets-original #language-Arifama-Miniafia #language-Ankave #language-Abau #language-Amarasi #language-Ambulas #languag... |
# Dataset Card for BibleNLP Corpus
### Dataset Summary
Partial and complete Bible translations in 833 languages, aligned by verse.
### Languages
aai, aak, aau, aaz, abt, abx, aby, acf, acr, acu, adz, aer, aey, agd, agg, agm, agn, agr, agt, agu, aia, aii, aka, ake, alp, alq, als, aly, ame, amf, amk, amm, amn, amo, am... | [
"# Dataset Card for BibleNLP Corpus",
"### Dataset Summary\nPartial and complete Bible translations in 833 languages, aligned by verse.",
"### Languages\naai, aak, aau, aaz, abt, abx, aby, acf, acr, acu, adz, aer, aey, agd, agg, agm, agn, agr, agt, agu, aia, aii, aka, ake, alp, alq, als, aly, ame, amf, amk, amm... | [
"TAGS\n#task_categories-translation #annotations_creators-no-annotation #language_creators-expert-generated #multilinguality-translation #multilinguality-multilingual #size_categories-1M<n<10M #source_datasets-original #language-Arifama-Miniafia #language-Ankave #language-Abau #language-Amarasi #language-Ambulas #l... | [
5926,
9,
24,
2389,
6,
175,
153,
4
] | [
"passage: ",
"passage: TAGS\n#task_categories-translation #annotations_creators-no-annotation #language_creators-expert-generated #multilinguality-translation #multilinguality-multilingual #size_categories-1M<n<10M #source_datasets-original #language-Arifama-Miniafia #language-Ankave #language-Abau #language-Amar... |
b8bbfeb80905e6d66dc06a47ec6e37b502ea6c69 |
# NEREL dataset
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Structure](#dataset-structure)
- [Citation Information](#citation-information)
- [Contacts](#contacts)
## Dataset Description
NEREL dataset (https://doi.org/10.48550/arXiv.2108.13112) is
a Russian dataset for named entity r... | iluvvatar/NEREL | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"multilinguality:monolingual",
"language:ru",
"region:us"
] | 2022-04-07T08:03:51+00:00 | {"language": ["ru"], "multilinguality": ["monolingual"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognition"], "pretty_name": "NEREL"} | 2023-03-30T12:37:20+00:00 | [] | [
"ru"
] | TAGS
#task_categories-token-classification #task_ids-named-entity-recognition #multilinguality-monolingual #language-Russian #region-us
|
# NEREL dataset
## Table of Contents
- Dataset Description
- Dataset Structure
- Citation Information
- Contacts
## Dataset Description
NEREL dataset (URL is
a Russian dataset for named entity recognition and relation extraction.
NEREL is significantly larger than existing Russian datasets:
to date it contains 56K a... | [
"# NEREL dataset",
"## Table of Contents\n- Dataset Description\n- Dataset Structure\n- Citation Information\n- Contacts",
"## Dataset Description\nNEREL dataset (URL is\na Russian dataset for named entity recognition and relation extraction.\nNEREL is significantly larger than existing Russian datasets:\nto da... | [
"TAGS\n#task_categories-token-classification #task_ids-named-entity-recognition #multilinguality-monolingual #language-Russian #region-us \n",
"# NEREL dataset",
"## Table of Contents\n- Dataset Description\n- Dataset Structure\n- Citation Information\n- Contacts",
"## Dataset Description\nNEREL dataset (URL ... | [
46,
5,
22,
187,
765
] | [
"passage: TAGS\n#task_categories-token-classification #task_ids-named-entity-recognition #multilinguality-monolingual #language-Russian #region-us \n# NEREL dataset## Table of Contents\n- Dataset Description\n- Dataset Structure\n- Citation Information\n- Contacts## Dataset Description\nNEREL dataset (URL is\na Rus... |
7fb2f514ea683c5282dfec0a9672ece8de90ac50 |
This file contains news texts (sentences) belonging to 5 different news categories (political, business, technology, sports and Entertainment). The original dataset was released by Nisansa de Silva (*Sinhala Text Classification: Observations from the Perspective of a Resource Poor Language, 2015*). The original datas... | NLPC-UOM/Sinhala-News-Category-classification | [
"task_categories:text-classification",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"language:si",
"license:mit",
"region:us"
] | 2022-04-07T11:21:01+00:00 | {"annotations_creators": [], "language_creators": ["crowdsourced"], "language": ["si"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": [], "task_categories": ["text-classification"], "task_ids": [], "pretty_name": "sinhala-news-category-classification"} | 2022-10-25T09:03:58+00:00 | [] | [
"si"
] | TAGS
#task_categories-text-classification #language_creators-crowdsourced #multilinguality-monolingual #size_categories-1K<n<10K #language-Sinhala #license-mit #region-us
|
This file contains news texts (sentences) belonging to 5 different news categories (political, business, technology, sports and Entertainment). The original dataset was released by Nisansa de Silva (*Sinhala Text Classification: Observations from the Perspective of a Resource Poor Language, 2015*). The original datas... | [] | [
"TAGS\n#task_categories-text-classification #language_creators-crowdsourced #multilinguality-monolingual #size_categories-1K<n<10K #language-Sinhala #license-mit #region-us \n"
] | [
59
] | [
"passage: TAGS\n#task_categories-text-classification #language_creators-crowdsourced #multilinguality-monolingual #size_categories-1K<n<10K #language-Sinhala #license-mit #region-us \n"
] |
ac4d14eeb68efbef95e247542d4432ce674faeb1 |
This dataset contains Sinhala news headlines extracted from 9 news sources (websites) (Sri Lanka Army, Dinamina, GossipLanka, Hiru, ITN, Lankapuwath, NewsLK,
Newsfirst, World Socialist Web Site-Sinhala). This is a processed version of the corpus created by *Sachintha, D., Piyarathna, L., Rajitha, C., and Ranathunga, S... | NLPC-UOM/Sinhala-News-Source-classification | [
"task_categories:text-classification",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"language:si",
"license:mit",
"region:us"
] | 2022-04-07T11:43:58+00:00 | {"annotations_creators": [], "language_creators": ["crowdsourced"], "language": ["si"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": [], "source_datasets": [], "task_categories": ["text-classification"], "task_ids": [], "pretty_name": "sinhala-news-source-classification"} | 2022-10-25T09:04:01+00:00 | [] | [
"si"
] | TAGS
#task_categories-text-classification #language_creators-crowdsourced #multilinguality-monolingual #language-Sinhala #license-mit #region-us
|
This dataset contains Sinhala news headlines extracted from 9 news sources (websites) (Sri Lanka Army, Dinamina, GossipLanka, Hiru, ITN, Lankapuwath, NewsLK,
Newsfirst, World Socialist Web Site-Sinhala). This is a processed version of the corpus created by *Sachintha, D., Piyarathna, L., Rajitha, C., and Ranathunga, S... | [] | [
"TAGS\n#task_categories-text-classification #language_creators-crowdsourced #multilinguality-monolingual #language-Sinhala #license-mit #region-us \n"
] | [
47
] | [
"passage: TAGS\n#task_categories-text-classification #language_creators-crowdsourced #multilinguality-monolingual #language-Sinhala #license-mit #region-us \n"
] |
46d3e24187694e12e7b4ae59b94c80b86ab774d8 |
# Dataset Card for KoBEST
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)... | skt/kobest_v1 | [
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:ko",
"license:cc-by-sa-4.0",
"arxiv:2204.04541",
"region:us"
] | 2022-04-07T12:54:23+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["ko"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "pretty_name": "KoBEST"} | 2022-08-22T08:00:17+00:00 | [
"2204.04541"
] | [
"ko"
] | TAGS
#annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Korean #license-cc-by-sa-4.0 #arxiv-2204.04541 #region-us
|
# Dataset Card for KoBEST
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal ... | [
"# Dataset Card for KoBEST",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Anno... | [
"TAGS\n#annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Korean #license-cc-by-sa-4.0 #arxiv-2204.04541 #region-us \n",
"# Dataset Card for KoBEST",
"## Table of Contents\n- Table of Contents\n-... | [
83,
8,
125,
19,
30,
44,
9,
6,
6,
18,
17,
17,
19,
19,
5,
54,
81,
69,
71,
45,
5,
22,
20,
23,
23,
49,
5,
7,
4,
10,
10,
5,
5,
9,
8,
8,
7,
8,
7,
5,
6,
6,
19
] | [
"passage: TAGS\n#annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Korean #license-cc-by-sa-4.0 #arxiv-2204.04541 #region-us \n# Dataset Card for KoBEST## Table of Contents\n- Table of Contents\n- Da... |
1ff93b40a787d18186bfbf3abc594e62ea3f7e37 | # AutoTrain Dataset for project: test-21312
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project test-21312.
### 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
[
... | victor/autotrain-data-test-21312 | [
"region:us"
] | 2022-04-07T13:18:31+00:00 | {} | 2022-04-07T13:19:26+00:00 | [] | [] | TAGS
#region-us
| AutoTrain Dataset for project: test-21312
=========================================
Dataset Descritpion
-------------------
This dataset has been automatically processed by AutoTrain for project test-21312.
### Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
-----------------
... | [
"### 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#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:",
"### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):",
"### D... | [
6,
27,
17,
23,
27
] | [
"passage: TAGS\n#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:### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):### Dataset Splits\n... |
5171fedc217c7bc893fa08f0e1d353a2cf666423 | image-classification
---
annotations_creators: []
language_creators: []
language: []
license: []
multilinguality:
- monolingual
pretty_name: airplanes
size_categories: []
source_datasets: []
task_categories:
- image-classification
task_ids:
- multi-label-image-classification
---
# Dataset Card for airplanes
## Table ... | johnnydevriese/airplanes | [
"region:us"
] | 2022-04-07T19:34:25+00:00 | {} | 2022-09-16T14:28:53+00:00 | [] | [] | TAGS
#region-us
| image-classification
---
annotations_creators: []
language_creators: []
language: []
license: []
multilinguality:
- monolingual
pretty_name: airplanes
size_categories: []
source_datasets: []
task_categories:
- image-classification
task_ids:
- multi-label-image-classification
---
# Dataset Card for airplanes
## Table ... | [
"# Dataset Card for airplanes",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotations\n - Personal and Sensitive... | [
"TAGS\n#region-us \n",
"# Dataset Card for airplanes",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotations\n ... | [
6,
8,
112,
24,
21,
10,
4,
6,
6,
5,
5,
5,
7,
4,
10,
10,
5,
5,
9,
8,
8,
7,
8,
7,
5,
6,
83
] | [
"passage: TAGS\n#region-us \n# Dataset Card for airplanes## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotations\n - ... |
83551fe521307e2a05274a2150d1d554f898d083 | # GEM Submission
Submission name: ENT
| GEM-submissions/ratishsp__ent__1649421332 | [
"benchmark:gem",
"evaluation",
"benchmark",
"region:us"
] | 2022-04-08T11:35:32+00:00 | {"benchmark": "gem", "type": "prediction", "submission_name": "ENT", "tags": ["evaluation", "benchmark"]} | 2022-04-08T11:35:35+00:00 | [] | [] | TAGS
#benchmark-gem #evaluation #benchmark #region-us
| # GEM Submission
Submission name: ENT
| [
"# GEM Submission\n\nSubmission name: ENT"
] | [
"TAGS\n#benchmark-gem #evaluation #benchmark #region-us \n",
"# GEM Submission\n\nSubmission name: ENT"
] | [
19,
11
] | [
"passage: TAGS\n#benchmark-gem #evaluation #benchmark #region-us \n# GEM Submission\n\nSubmission name: ENT"
] |
822ca2e2310fc76c47ac7e02c2316a260f63d83d | # GEM Submission
Submission name: NCP_CC
| GEM-submissions/ratishsp__ncp_cc__1649422112 | [
"benchmark:gem",
"evaluation",
"benchmark",
"region:us"
] | 2022-04-08T11:48:32+00:00 | {"benchmark": "gem", "type": "prediction", "submission_name": "NCP_CC", "tags": ["evaluation", "benchmark"]} | 2022-04-08T11:48:34+00:00 | [] | [] | TAGS
#benchmark-gem #evaluation #benchmark #region-us
| # GEM Submission
Submission name: NCP_CC
| [
"# GEM Submission\n\nSubmission name: NCP_CC"
] | [
"TAGS\n#benchmark-gem #evaluation #benchmark #region-us \n",
"# GEM Submission\n\nSubmission name: NCP_CC"
] | [
19,
13
] | [
"passage: TAGS\n#benchmark-gem #evaluation #benchmark #region-us \n# GEM Submission\n\nSubmission name: NCP_CC"
] |
8e91091fcdcf73d0dca08f4e73cd7b1cbf5c7b51 | # GEM Submission
Submission name: ENT
| GEM-submissions/ratishsp__ent__1649422569 | [
"benchmark:gem",
"evaluation",
"benchmark",
"region:us"
] | 2022-04-08T11:56:09+00:00 | {"benchmark": "gem", "type": "prediction", "submission_name": "ENT", "tags": ["evaluation", "benchmark"]} | 2022-04-08T11:56:11+00:00 | [] | [] | TAGS
#benchmark-gem #evaluation #benchmark #region-us
| # GEM Submission
Submission name: ENT
| [
"# GEM Submission\n\nSubmission name: ENT"
] | [
"TAGS\n#benchmark-gem #evaluation #benchmark #region-us \n",
"# GEM Submission\n\nSubmission name: ENT"
] | [
19,
11
] | [
"passage: TAGS\n#benchmark-gem #evaluation #benchmark #region-us \n# GEM Submission\n\nSubmission name: ENT"
] |
f6f5797f4852eb1ac0dad141ce7894ed6d71bf8a | # GEM Submission
Submission name: NCP_CC
| GEM-submissions/ratishsp__ncp_cc__1649422863 | [
"benchmark:gem",
"evaluation",
"benchmark",
"region:us"
] | 2022-04-08T12:01:03+00:00 | {"benchmark": "gem", "type": "prediction", "submission_name": "NCP_CC", "tags": ["evaluation", "benchmark"]} | 2022-04-08T12:01:05+00:00 | [] | [] | TAGS
#benchmark-gem #evaluation #benchmark #region-us
| # GEM Submission
Submission name: NCP_CC
| [
"# GEM Submission\n\nSubmission name: NCP_CC"
] | [
"TAGS\n#benchmark-gem #evaluation #benchmark #region-us \n",
"# GEM Submission\n\nSubmission name: NCP_CC"
] | [
19,
13
] | [
"passage: TAGS\n#benchmark-gem #evaluation #benchmark #region-us \n# GEM Submission\n\nSubmission name: NCP_CC"
] |
b43970c4be4cff8c5259b043cc78202fa34e2bc3 |
# Dataset Card for pl-corpus
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields]... | bergoliveira/pl-corpus | [
"task_categories:token-classification",
"size_categories:10K<n<100K",
"language:pt",
"license:unknown",
"legal",
"legislative",
"region:us"
] | 2022-04-08T14:15:10+00:00 | {"language": ["pt"], "license": "unknown", "size_categories": ["10K<n<100K"], "task_categories": ["token-classification"], "pretty_name": "plcorpus", "tags": ["legal", "legislative"]} | 2023-05-01T13:25:22+00:00 | [] | [
"pt"
] | TAGS
#task_categories-token-classification #size_categories-10K<n<100K #language-Portuguese #license-unknown #legal #legislative #region-us
|
# Dataset Card for pl-corpus
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal and Sensitive Information
- Consid... | [
"# Dataset Card for pl-corpus",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotations\n - Personal and Sensitive... | [
"TAGS\n#task_categories-token-classification #size_categories-10K<n<100K #language-Portuguese #license-unknown #legal #legislative #region-us \n",
"# Dataset Card for pl-corpus",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks\n - Languages\n- Dataset Structure\n - Data ... | [
49,
9,
112,
84,
74,
10,
10,
6,
6,
5,
5,
5,
7,
4,
10,
10,
5,
5,
9,
8,
8,
7,
8,
7,
5,
6,
6
] | [
"passage: TAGS\n#task_categories-token-classification #size_categories-10K<n<100K #language-Portuguese #license-unknown #legal #legislative #region-us \n# Dataset Card for pl-corpus## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks\n - Languages\n- Dataset Structure\n - Data Ins... |
67e283fee4cd7cbabbe771d1df88382b043e914c | annotations_creators: []
language_creators: []
languages: []
licenses: []
multilinguality: []
pretty_name: humor_train
size_categories: []
source_datasets: []
task_categories: []
task_ids: [] | lm233/humor_train | [
"region:us"
] | 2022-04-08T17:10:37+00:00 | {} | 2022-04-08T17:13:45+00:00 | [] | [] | TAGS
#region-us
| annotations_creators: []
language_creators: []
languages: []
licenses: []
multilinguality: []
pretty_name: humor_train
size_categories: []
source_datasets: []
task_categories: []
task_ids: [] | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
66cd1dbf5577c653ecb99b385200f08e15e12f30 | # Dataset Card for TopiOCQA
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Additional Information](#additional-information)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
#... | McGill-NLP/TopiOCQA | [
"task_categories:text-retrieval",
"task_categories:text-generation",
"task_ids:language-modeling",
"task_ids:open-domain-qa",
"annotations_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:10K<n<100k",
"language:en",
"license:cc-by-nc-sa-4.0",
"conversational-question-answeri... | 2022-04-08T17:29:53+00:00 | {"annotations_creators": ["crowdsourced"], "language": ["en"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100k"], "task_categories": ["text-retrieval", "text-generation"], "task_ids": ["language-modeling", "open-domain-qa"], "pretty_name": "Open-domain Conversational ... | 2023-09-29T18:37:48+00:00 | [
"2110.00768"
] | [
"en"
] | TAGS
#task_categories-text-retrieval #task_categories-text-generation #task_ids-language-modeling #task_ids-open-domain-qa #annotations_creators-crowdsourced #multilinguality-monolingual #size_categories-10K<n<100k #language-English #license-cc-by-nc-sa-4.0 #conversational-question-answering #arxiv-2110.00768 #region-u... | # Dataset Card for TopiOCQA
## Table of Contents
- Dataset Description
- Dataset Summary
- Languages
- Additional Information
- Licensing Information
- Citation Information
## Dataset Description
- Homepage: TopiOCQA homepage
- Repository: TopiOCQA Github
- Paper: Open-domain Conversational Question Answerin... | [
"# Dataset Card for TopiOCQA",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Languages\n- Additional Information\n - Licensing Information\n - Citation Information",
"## Dataset Description\n\n- Homepage: TopiOCQA homepage\n- Repository: TopiOCQA Github\n- Paper: Open-domain Conversat... | [
"TAGS\n#task_categories-text-retrieval #task_categories-text-generation #task_ids-language-modeling #task_ids-open-domain-qa #annotations_creators-crowdsourced #multilinguality-monolingual #size_categories-10K<n<100k #language-English #license-cc-by-nc-sa-4.0 #conversational-question-answering #arxiv-2110.00768 #re... | [
119,
9,
31,
53,
29,
31,
5,
29
] | [
"passage: TAGS\n#task_categories-text-retrieval #task_categories-text-generation #task_ids-language-modeling #task_ids-open-domain-qa #annotations_creators-crowdsourced #multilinguality-monolingual #size_categories-10K<n<100k #language-English #license-cc-by-nc-sa-4.0 #conversational-question-answering #arxiv-2110.... |
b14fd6edb25ad7646d25599565008cadc013f952 |
# Dataset Card for [Smithsonian Butterflies]
## 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](... | ceyda/smithsonian_butterflies | [
"task_categories:image-classification",
"task_ids:multi-label-image-classification",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:n<1K",
"source_datasets:original",
"language:en",
"license:cc0-1.0",
"region:us"
] | 2022-04-08T23:38:13+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["cc0-1.0"], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "source_datasets": ["original"], "task_categories": ["image-classification"], "task_ids": ["multi-label-image-classificat... | 2022-07-13T08:32:27+00:00 | [] | [
"en"
] | TAGS
#task_categories-image-classification #task_ids-multi-label-image-classification #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-n<1K #source_datasets-original #language-English #license-cc0-1.0 #region-us
|
# Dataset Card for [Smithsonian Butterflies]
## 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
- Annota... | [
"# Dataset Card for [Smithsonian Butterflies]",
"## 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 - So... | [
"TAGS\n#task_categories-image-classification #task_ids-multi-label-image-classification #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-n<1K #source_datasets-original #language-English #license-cc0-1.0 #region-us \n",
"# Dataset Card for [Sm... | [
93,
16,
125,
32,
39,
38,
5,
6,
6,
4,
38,
11,
5,
7,
4,
38,
10,
5,
5,
9,
8,
8,
7,
8,
21,
30,
12,
16
] | [
"passage: TAGS\n#task_categories-image-classification #task_ids-multi-label-image-classification #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-n<1K #source_datasets-original #language-English #license-cc0-1.0 #region-us \n# Dataset Card for ... |
6b37397565bdbd6ede10e362e6a1be4c62083bb3 | Dataset Summary
- Natural Language Processing with Disaster Tweets: https://www.kaggle.com/competitions/nlp-getting-started/data
- This particular challenge is perfect for data scientists looking to get started with Natural Language Processing. The competition dataset is not too big, and even if you don’t have much per... | gdwangh/kaggle-nlp-getting-start | [
"region:us"
] | 2022-04-09T07:03:46+00:00 | {} | 2022-04-09T07:13:03+00:00 | [] | [] | TAGS
#region-us
| Dataset Summary
- Natural Language Processing with Disaster Tweets: URL
- This particular challenge is perfect for data scientists looking to get started with Natural Language Processing. The competition dataset is not too big, and even if you don’t have much personal computing power, you can do all of the work in our ... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
5ce8dc4c178d59d0fcb8f3e580f93fa95ed57901 | # Data Summary
This dataset contains images of Moroccan Chebakia (Traditional Ramadan Sweets).
# Data Source
All of the images were web scrapped using a google image search API.
### Contributions
[`Ilyas Moutawwakil`](https://huggingface.co/IlyasMoutawwakil) added this dataset to the hub. | huggan/chebakia | [
"region:us"
] | 2022-04-09T15:37:31+00:00 | {} | 2022-05-27T10:53:19+00:00 | [] | [] | TAGS
#region-us
| # Data Summary
This dataset contains images of Moroccan Chebakia (Traditional Ramadan Sweets).
# Data Source
All of the images were web scrapped using a google image search API.
### Contributions
'Ilyas Moutawwakil' added this dataset to the hub. | [
"# Data Summary\nThis dataset contains images of Moroccan Chebakia (Traditional Ramadan Sweets).",
"# Data Source\nAll of the images were web scrapped using a google image search API.",
"### Contributions\n'Ilyas Moutawwakil' added this dataset to the hub."
] | [
"TAGS\n#region-us \n",
"# Data Summary\nThis dataset contains images of Moroccan Chebakia (Traditional Ramadan Sweets).",
"# Data Source\nAll of the images were web scrapped using a google image search API.",
"### Contributions\n'Ilyas Moutawwakil' added this dataset to the hub."
] | [
6,
25,
18,
22
] | [
"passage: TAGS\n#region-us \n# Data Summary\nThis dataset contains images of Moroccan Chebakia (Traditional Ramadan Sweets).# Data Source\nAll of the images were web scrapped using a google image search API.### Contributions\n'Ilyas Moutawwakil' added this dataset to the hub."
] |
cf40283692122fe32d2c1d009f5b1a674be473ad | #flowersdataset #segmentation #VGG
# Dataset Card for Flowers Dataset
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Official VGG'S README.md](#official-vggs-README.md)
## Dataset Description
- **Homepage:** https://www.robots.ox.ac.uk/~vgg/data/flowe... | Guldeniz/flower_dataset | [
"region:us"
] | 2022-04-09T19:36:46+00:00 | {} | 2022-04-09T19:52:59+00:00 | [] | [] | TAGS
#region-us
| #flowersdataset #segmentation #VGG
# Dataset Card for Flowers Dataset
## Table of Contents
- Dataset Description
- Dataset Summary
- Official VGG'S URL
## Dataset Description
- Homepage: URL
- Repository: URL
- Paper:
- Leaderboard:
- Point of Contact:
### Dataset Summary
VGG have created a 17 category flo... | [
"# Dataset Card for Flowers Dataset",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Official VGG'S URL",
"## Dataset Description\n\n- Homepage: URL\n- Repository: URL\n- Paper: \n- Leaderboard: \n- Point of Contact:",
"### Dataset Summary\n\nVGG have created a 17 category flower datas... | [
"TAGS\n#region-us \n",
"# Dataset Card for Flowers Dataset",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Official VGG'S URL",
"## Dataset Description\n\n- Homepage: URL\n- Repository: URL\n- Paper: \n- Leaderboard: \n- Point of Contact:",
"### Dataset Summary\n\nVGG have created a... | [
6,
9,
21,
26,
131,
477
] | [
"passage: TAGS\n#region-us \n# Dataset Card for Flowers Dataset## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Official VGG'S URL## Dataset Description\n\n- Homepage: URL\n- Repository: URL\n- Paper: \n- Leaderboard: \n- Point of Contact:### Dataset Summary\n\nVGG have created a 17 category fl... |
c8356096c3ce93ad76030b135e33f4ccd099816e |
# Dataset Card
## Disclaimer
All rights belong to their owners.
Models and datasets can be removed from the site at the request of the copyright holder.
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-... | huggingnft/dooggies | [
"license:mit",
"huggingnft",
"nft",
"huggan",
"gan",
"image",
"images",
"region:us"
] | 2022-04-09T19:54:53+00:00 | {"license": "mit", "tags": ["huggingnft", "nft", "huggan", "gan", "image", "images"], "task": ["unconditional-image-generation"], "datasets": ["huggingnft/dooggies"]} | 2022-04-16T16:59:05+00:00 | [] | [] | TAGS
#license-mit #huggingnft #nft #huggan #gan #image #images #region-us
|
# Dataset Card
## Disclaimer
All rights belong to their owners.
Models and datasets can be removed from the site at the request of the copyright holder.
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- How to use
- Dataset Structure
- Data Fields
... | [
"# Dataset Card",
"## Disclaimer\n\nAll rights belong to their owners.\nModels and datasets can be removed from the site at the request of the copyright holder.",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- How to use\n- Dataset Struc... | [
"TAGS\n#license-mit #huggingnft #nft #huggan #gan #image #images #region-us \n",
"# Dataset Card",
"## Disclaimer\n\nAll rights belong to their owners.\nModels and datasets can be removed from the site at the request of the copyright holder.",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\... | [
29,
4,
30,
117,
22,
33,
10,
19,
6,
69,
5,
5,
7,
4,
10,
10,
5,
5,
9,
8,
8,
7,
8,
7,
5,
6,
6,
77
] | [
"passage: TAGS\n#license-mit #huggingnft #nft #huggan #gan #image #images #region-us \n# Dataset Card## Disclaimer\n\nAll rights belong to their owners.\nModels and datasets can be removed from the site at the request of the copyright holder.## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supp... |
5ca85c638c922bdae8dfd4fbdf7d172ecb0c28d1 |
# Dataset Card
## Disclaimer
All rights belong to their owners.
Models and datasets can be removed from the site at the request of the copyright holder.
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-... | huggingnft/cryptoadz-by-gremplin | [
"license:mit",
"huggingnft",
"nft",
"huggan",
"gan",
"image",
"images",
"region:us"
] | 2022-04-10T07:20:00+00:00 | {"license": "mit", "tags": ["huggingnft", "nft", "huggan", "gan", "image", "images"], "task": ["unconditional-image-generation"], "datasets": ["huggingnft/cryptoadz-by-gremplin"]} | 2022-04-16T16:59:06+00:00 | [] | [] | TAGS
#license-mit #huggingnft #nft #huggan #gan #image #images #region-us
|
# Dataset Card
## Disclaimer
All rights belong to their owners.
Models and datasets can be removed from the site at the request of the copyright holder.
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- How to use
- Dataset Structure
- Data Fields
... | [
"# Dataset Card",
"## Disclaimer\n\nAll rights belong to their owners.\nModels and datasets can be removed from the site at the request of the copyright holder.",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- How to use\n- Dataset Struc... | [
"TAGS\n#license-mit #huggingnft #nft #huggan #gan #image #images #region-us \n",
"# Dataset Card",
"## Disclaimer\n\nAll rights belong to their owners.\nModels and datasets can be removed from the site at the request of the copyright holder.",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\... | [
29,
4,
30,
117,
22,
33,
10,
19,
6,
69,
5,
5,
7,
4,
10,
10,
5,
5,
9,
8,
8,
7,
8,
7,
5,
6,
6,
77
] | [
"passage: TAGS\n#license-mit #huggingnft #nft #huggan #gan #image #images #region-us \n# Dataset Card## Disclaimer\n\nAll rights belong to their owners.\nModels and datasets can be removed from the site at the request of the copyright holder.## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supp... |
81ecc730edb35304a79c59ee811c056bd68775e8 |
# Dataset Card
## Disclaimer
All rights belong to their owners.
Models and datasets can be removed from the site at the request of the copyright holder.
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-... | huggingnft/cyberkongz | [
"license:mit",
"huggingnft",
"nft",
"huggan",
"gan",
"image",
"images",
"region:us"
] | 2022-04-10T07:33:51+00:00 | {"license": "mit", "tags": ["huggingnft", "nft", "huggan", "gan", "image", "images"], "task": ["unconditional-image-generation"], "datasets": ["huggingnft/cyberkongz"]} | 2022-04-16T16:59:06+00:00 | [] | [] | TAGS
#license-mit #huggingnft #nft #huggan #gan #image #images #region-us
|
# Dataset Card
## Disclaimer
All rights belong to their owners.
Models and datasets can be removed from the site at the request of the copyright holder.
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- How to use
- Dataset Structure
- Data Fields
... | [
"# Dataset Card",
"## Disclaimer\n\nAll rights belong to their owners.\nModels and datasets can be removed from the site at the request of the copyright holder.",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- How to use\n- Dataset Struc... | [
"TAGS\n#license-mit #huggingnft #nft #huggan #gan #image #images #region-us \n",
"# Dataset Card",
"## Disclaimer\n\nAll rights belong to their owners.\nModels and datasets can be removed from the site at the request of the copyright holder.",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\... | [
29,
4,
30,
117,
22,
33,
10,
19,
6,
69,
5,
5,
7,
4,
10,
10,
5,
5,
9,
8,
8,
7,
8,
7,
5,
6,
6,
77
] | [
"passage: TAGS\n#license-mit #huggingnft #nft #huggan #gan #image #images #region-us \n# Dataset Card## Disclaimer\n\nAll rights belong to their owners.\nModels and datasets can be removed from the site at the request of the copyright holder.## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supp... |
fffef77aafbde453e1e78f72adc287fbbac3bc15 |
# Dataset Card
## Disclaimer
All rights belong to their owners.
Models and datasets can be removed from the site at the request of the copyright holder.
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-... | huggingnft/mini-mutants | [
"license:mit",
"huggingnft",
"nft",
"huggan",
"gan",
"image",
"images",
"region:us"
] | 2022-04-10T07:42:22+00:00 | {"license": "mit", "tags": ["huggingnft", "nft", "huggan", "gan", "image", "images"], "task": ["unconditional-image-generation"], "datasets": ["huggingnft/mini-mutants"]} | 2022-04-16T16:59:06+00:00 | [] | [] | TAGS
#license-mit #huggingnft #nft #huggan #gan #image #images #region-us
|
# Dataset Card
## Disclaimer
All rights belong to their owners.
Models and datasets can be removed from the site at the request of the copyright holder.
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- How to use
- Dataset Structure
- Data Fields
... | [
"# Dataset Card",
"## Disclaimer\n\nAll rights belong to their owners.\nModels and datasets can be removed from the site at the request of the copyright holder.",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- How to use\n- Dataset Struc... | [
"TAGS\n#license-mit #huggingnft #nft #huggan #gan #image #images #region-us \n",
"# Dataset Card",
"## Disclaimer\n\nAll rights belong to their owners.\nModels and datasets can be removed from the site at the request of the copyright holder.",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\... | [
29,
4,
30,
117,
22,
33,
10,
19,
6,
69,
5,
5,
7,
4,
10,
10,
5,
5,
9,
8,
8,
7,
8,
7,
5,
6,
6,
77
] | [
"passage: TAGS\n#license-mit #huggingnft #nft #huggan #gan #image #images #region-us \n# Dataset Card## Disclaimer\n\nAll rights belong to their owners.\nModels and datasets can be removed from the site at the request of the copyright holder.## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supp... |
f8ff5ec9ffd286d395a88ea1407957bc457df703 |
# Dataset Card
## Disclaimer
All rights belong to their owners.
Models and datasets can be removed from the site at the request of the copyright holder.
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-... | huggingnft/theshiboshis | [
"license:mit",
"huggingnft",
"nft",
"huggan",
"gan",
"image",
"images",
"region:us"
] | 2022-04-10T07:48:07+00:00 | {"license": "mit", "tags": ["huggingnft", "nft", "huggan", "gan", "image", "images"], "task": ["unconditional-image-generation"], "datasets": ["huggingnft/theshiboshis"]} | 2022-04-16T16:59:06+00:00 | [] | [] | TAGS
#license-mit #huggingnft #nft #huggan #gan #image #images #region-us
|
# Dataset Card
## Disclaimer
All rights belong to their owners.
Models and datasets can be removed from the site at the request of the copyright holder.
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- How to use
- Dataset Structure
- Data Fields
... | [
"# Dataset Card",
"## Disclaimer\n\nAll rights belong to their owners.\nModels and datasets can be removed from the site at the request of the copyright holder.",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- How to use\n- Dataset Struc... | [
"TAGS\n#license-mit #huggingnft #nft #huggan #gan #image #images #region-us \n",
"# Dataset Card",
"## Disclaimer\n\nAll rights belong to their owners.\nModels and datasets can be removed from the site at the request of the copyright holder.",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\... | [
29,
4,
30,
117,
22,
33,
10,
19,
6,
69,
5,
5,
7,
4,
10,
10,
5,
5,
9,
8,
8,
7,
8,
7,
5,
6,
6,
77
] | [
"passage: TAGS\n#license-mit #huggingnft #nft #huggan #gan #image #images #region-us \n# Dataset Card## Disclaimer\n\nAll rights belong to their owners.\nModels and datasets can be removed from the site at the request of the copyright holder.## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supp... |
9c963cdf5cd5df0924c0cd0fcd0d44acae67a15a |
# Dataset Card
## Disclaimer
All rights belong to their owners.
Models and datasets can be removed from the site at the request of the copyright holder.
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-... | huggingnft/cryptopunks | [
"license:mit",
"huggingnft",
"nft",
"huggan",
"gan",
"image",
"images",
"region:us"
] | 2022-04-10T07:52:12+00:00 | {"license": "mit", "tags": ["huggingnft", "nft", "huggan", "gan", "image", "images"], "task": ["unconditional-image-generation"], "datasets": ["huggingnft/cryptopunks"]} | 2022-04-16T16:59:07+00:00 | [] | [] | TAGS
#license-mit #huggingnft #nft #huggan #gan #image #images #region-us
|
# Dataset Card
## Disclaimer
All rights belong to their owners.
Models and datasets can be removed from the site at the request of the copyright holder.
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- How to use
- Dataset Structure
- Data Fields
... | [
"# Dataset Card",
"## Disclaimer\n\nAll rights belong to their owners.\nModels and datasets can be removed from the site at the request of the copyright holder.",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- How to use\n- Dataset Struc... | [
"TAGS\n#license-mit #huggingnft #nft #huggan #gan #image #images #region-us \n",
"# Dataset Card",
"## Disclaimer\n\nAll rights belong to their owners.\nModels and datasets can be removed from the site at the request of the copyright holder.",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\... | [
29,
4,
30,
117,
22,
33,
10,
19,
6,
69,
5,
5,
7,
4,
10,
10,
5,
5,
9,
8,
8,
7,
8,
7,
5,
6,
6,
77
] | [
"passage: TAGS\n#license-mit #huggingnft #nft #huggan #gan #image #images #region-us \n# Dataset Card## Disclaimer\n\nAll rights belong to their owners.\nModels and datasets can be removed from the site at the request of the copyright holder.## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supp... |
a7b35e95225cdeca125e0ba77f29ccebedc3d48d |
# Dataset Card
## Disclaimer
All rights belong to their owners.
Models and datasets can be removed from the site at the request of the copyright holder.
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-... | huggingnft/nftrex | [
"license:mit",
"huggingnft",
"nft",
"huggan",
"gan",
"image",
"images",
"region:us"
] | 2022-04-10T07:55:12+00:00 | {"license": "mit", "tags": ["huggingnft", "nft", "huggan", "gan", "image", "images"], "task": ["unconditional-image-generation"], "datasets": ["huggingnft/nftrex"]} | 2022-04-16T16:59:07+00:00 | [] | [] | TAGS
#license-mit #huggingnft #nft #huggan #gan #image #images #region-us
|
# Dataset Card
## Disclaimer
All rights belong to their owners.
Models and datasets can be removed from the site at the request of the copyright holder.
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- How to use
- Dataset Structure
- Data Fields
... | [
"# Dataset Card",
"## Disclaimer\n\nAll rights belong to their owners.\nModels and datasets can be removed from the site at the request of the copyright holder.",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- How to use\n- Dataset Struc... | [
"TAGS\n#license-mit #huggingnft #nft #huggan #gan #image #images #region-us \n",
"# Dataset Card",
"## Disclaimer\n\nAll rights belong to their owners.\nModels and datasets can be removed from the site at the request of the copyright holder.",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\... | [
29,
4,
30,
117,
22,
33,
10,
19,
6,
69,
5,
5,
7,
4,
10,
10,
5,
5,
9,
8,
8,
7,
8,
7,
5,
6,
6,
77
] | [
"passage: TAGS\n#license-mit #huggingnft #nft #huggan #gan #image #images #region-us \n# Dataset Card## Disclaimer\n\nAll rights belong to their owners.\nModels and datasets can be removed from the site at the request of the copyright holder.## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supp... |
4ab22a713cd38dc0275a53b7b945975ce63fead8 |
# Dataset Card
## Disclaimer
All rights belong to their owners.
Models and datasets can be removed from the site at the request of the copyright holder.
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-... | huggingnft/etherbears | [
"license:mit",
"huggingnft",
"nft",
"huggan",
"gan",
"image",
"images",
"region:us"
] | 2022-04-10T07:57:17+00:00 | {"license": "mit", "tags": ["huggingnft", "nft", "huggan", "gan", "image", "images"], "task": ["unconditional-image-generation"], "datasets": ["huggingnft/etherbears"]} | 2022-04-16T16:59:07+00:00 | [] | [] | TAGS
#license-mit #huggingnft #nft #huggan #gan #image #images #region-us
|
# Dataset Card
## Disclaimer
All rights belong to their owners.
Models and datasets can be removed from the site at the request of the copyright holder.
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- How to use
- Dataset Structure
- Data Fields
... | [
"# Dataset Card",
"## Disclaimer\n\nAll rights belong to their owners.\nModels and datasets can be removed from the site at the request of the copyright holder.",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- How to use\n- Dataset Struc... | [
"TAGS\n#license-mit #huggingnft #nft #huggan #gan #image #images #region-us \n",
"# Dataset Card",
"## Disclaimer\n\nAll rights belong to their owners.\nModels and datasets can be removed from the site at the request of the copyright holder.",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\... | [
29,
4,
30,
117,
22,
33,
10,
19,
6,
69,
5,
5,
7,
4,
10,
10,
5,
5,
9,
8,
8,
7,
8,
7,
5,
6,
6,
77
] | [
"passage: TAGS\n#license-mit #huggingnft #nft #huggan #gan #image #images #region-us \n# Dataset Card## Disclaimer\n\nAll rights belong to their owners.\nModels and datasets can be removed from the site at the request of the copyright holder.## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supp... |
3ca436a670f55f3fb909dacf588c575885b8aaa2 |
# Dataset Card
## Disclaimer
All rights belong to their owners.
Models and datasets can be removed from the site at the request of the copyright holder.
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-... | huggingnft/alpacadabraz | [
"license:mit",
"huggingnft",
"nft",
"huggan",
"gan",
"image",
"images",
"region:us"
] | 2022-04-10T08:01:03+00:00 | {"license": "mit", "tags": ["huggingnft", "nft", "huggan", "gan", "image", "images"], "task": ["unconditional-image-generation"], "datasets": ["huggingnft/alpacadabraz"]} | 2022-04-16T16:59:07+00:00 | [] | [] | TAGS
#license-mit #huggingnft #nft #huggan #gan #image #images #region-us
|
# Dataset Card
## Disclaimer
All rights belong to their owners.
Models and datasets can be removed from the site at the request of the copyright holder.
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- How to use
- Dataset Structure
- Data Fields
... | [
"# Dataset Card",
"## Disclaimer\n\nAll rights belong to their owners.\nModels and datasets can be removed from the site at the request of the copyright holder.",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- How to use\n- Dataset Struc... | [
"TAGS\n#license-mit #huggingnft #nft #huggan #gan #image #images #region-us \n",
"# Dataset Card",
"## Disclaimer\n\nAll rights belong to their owners.\nModels and datasets can be removed from the site at the request of the copyright holder.",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\... | [
29,
4,
30,
117,
22,
33,
10,
19,
6,
69,
5,
5,
7,
4,
10,
10,
5,
5,
9,
8,
8,
7,
8,
7,
5,
6,
6,
77
] | [
"passage: TAGS\n#license-mit #huggingnft #nft #huggan #gan #image #images #region-us \n# Dataset Card## Disclaimer\n\nAll rights belong to their owners.\nModels and datasets can be removed from the site at the request of the copyright holder.## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supp... |
9ccb67fe13acc0f05adbaf8883ba978d4673f857 |
# Dataset Card
## Disclaimer
All rights belong to their owners.
Models and datasets can be removed from the site at the request of the copyright holder.
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-... | huggingnft/trippytoadznft | [
"license:mit",
"huggingnft",
"nft",
"huggan",
"gan",
"image",
"images",
"region:us"
] | 2022-04-10T08:07:49+00:00 | {"license": "mit", "tags": ["huggingnft", "nft", "huggan", "gan", "image", "images"], "task": ["unconditional-image-generation"], "datasets": ["huggingnft/trippytoadznft"]} | 2022-04-16T16:59:07+00:00 | [] | [] | TAGS
#license-mit #huggingnft #nft #huggan #gan #image #images #region-us
|
# Dataset Card
## Disclaimer
All rights belong to their owners.
Models and datasets can be removed from the site at the request of the copyright holder.
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- How to use
- Dataset Structure
- Data Fields
... | [
"# Dataset Card",
"## Disclaimer\n\nAll rights belong to their owners.\nModels and datasets can be removed from the site at the request of the copyright holder.",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- How to use\n- Dataset Struc... | [
"TAGS\n#license-mit #huggingnft #nft #huggan #gan #image #images #region-us \n",
"# Dataset Card",
"## Disclaimer\n\nAll rights belong to their owners.\nModels and datasets can be removed from the site at the request of the copyright holder.",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\... | [
29,
4,
30,
117,
22,
33,
10,
19,
6,
69,
5,
5,
7,
4,
10,
10,
5,
5,
9,
8,
8,
7,
8,
7,
5,
6,
6,
77
] | [
"passage: TAGS\n#license-mit #huggingnft #nft #huggan #gan #image #images #region-us \n# Dataset Card## Disclaimer\n\nAll rights belong to their owners.\nModels and datasets can be removed from the site at the request of the copyright holder.## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supp... |
2d572e61e1204fe8374ca7768511f0a6b57639ac |
# Dataset Card
## Disclaimer
All rights belong to their owners.
Models and datasets can be removed from the site at the request of the copyright holder.
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-... | huggingnft/boredapeyachtclub | [
"license:mit",
"huggingnft",
"nft",
"huggan",
"gan",
"image",
"images",
"region:us"
] | 2022-04-10T08:14:53+00:00 | {"license": "mit", "tags": ["huggingnft", "nft", "huggan", "gan", "image", "images"], "task": ["unconditional-image-generation"], "datasets": ["huggingnft/boredapeyachtclub"]} | 2022-04-16T16:59:08+00:00 | [] | [] | TAGS
#license-mit #huggingnft #nft #huggan #gan #image #images #region-us
|
# Dataset Card
## Disclaimer
All rights belong to their owners.
Models and datasets can be removed from the site at the request of the copyright holder.
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- How to use
- Dataset Structure
- Data Fields
... | [
"# Dataset Card",
"## Disclaimer\n\nAll rights belong to their owners.\nModels and datasets can be removed from the site at the request of the copyright holder.",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- How to use\n- Dataset Struc... | [
"TAGS\n#license-mit #huggingnft #nft #huggan #gan #image #images #region-us \n",
"# Dataset Card",
"## Disclaimer\n\nAll rights belong to their owners.\nModels and datasets can be removed from the site at the request of the copyright holder.",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\... | [
29,
4,
30,
117,
22,
33,
10,
19,
6,
69,
5,
5,
7,
4,
10,
10,
5,
5,
9,
8,
8,
7,
8,
7,
5,
6,
6,
77
] | [
"passage: TAGS\n#license-mit #huggingnft #nft #huggan #gan #image #images #region-us \n# Dataset Card## Disclaimer\n\nAll rights belong to their owners.\nModels and datasets can be removed from the site at the request of the copyright holder.## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supp... |
2aa51f454f9b1c2aded5899f2c865fe0a7bd746b |
# RuREBus dataset
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Structure](#dataset-structure)
- [Citation Information](#citation-information)
- [Contacts](#contacts)
## Dataset Description
RuREBus dataset (https://github.com/dialogue-evaluation/RuREBus) is
a Russian dataset for named... | iluvvatar/RuREBus | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"multilinguality:monolingual",
"language:ru",
"region:us"
] | 2022-04-10T08:52:30+00:00 | {"language": ["ru"], "multilinguality": ["monolingual"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognition"], "pretty_name": "RuREBus"} | 2023-03-30T12:37:32+00:00 | [] | [
"ru"
] | TAGS
#task_categories-token-classification #task_ids-named-entity-recognition #multilinguality-monolingual #language-Russian #region-us
|
# RuREBus dataset
## Table of Contents
- Dataset Description
- Dataset Structure
- Citation Information
- Contacts
## Dataset Description
RuREBus dataset (URL is
a Russian dataset for named entity recognition and relation extraction.
## Dataset Structure
There are two subsets of the dataset.
Using
'load_dataset('... | [
"# RuREBus dataset",
"## Table of Contents\n- Dataset Description\n- Dataset Structure\n- Citation Information\n- Contacts",
"## Dataset Description\nRuREBus dataset (URL is\na Russian dataset for named entity recognition and relation extraction.",
"## Dataset Structure\nThere are two subsets of the dataset.\... | [
"TAGS\n#task_categories-token-classification #task_ids-named-entity-recognition #multilinguality-monolingual #language-Russian #region-us \n",
"# RuREBus dataset",
"## Table of Contents\n- Dataset Description\n- Dataset Structure\n- Citation Information\n- Contacts",
"## Dataset Description\nRuREBus dataset (... | [
46,
7,
22,
28,
512
] | [
"passage: TAGS\n#task_categories-token-classification #task_ids-named-entity-recognition #multilinguality-monolingual #language-Russian #region-us \n# RuREBus dataset## Table of Contents\n- Dataset Description\n- Dataset Structure\n- Citation Information\n- Contacts## Dataset Description\nRuREBus dataset (URL is\na... |
0c4d3efa8324ce171b8e8393b713786f64c63612 | SCIERC (Luan et al., 2018) via "Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks" (Gururangan et al., 2020) reuploaded because of error encountered when trying to load zj88zj/SCIERC with the huggingfaces/datasets library. | nsusemiehl/SciERC | [
"region:us"
] | 2022-04-10T15:51:23+00:00 | {} | 2022-04-10T15:56:55+00:00 | [] | [] | TAGS
#region-us
| SCIERC (Luan et al., 2018) via "Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks" (Gururangan et al., 2020) reuploaded because of error encountered when trying to load zj88zj/SCIERC with the huggingfaces/datasets library. | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
6cfe8e5afe107823c07b64d48e333b9b85ae332b | # SKM-TEA Sample Data
This dataset consists of a subset of scans from the [SKM-TEA dataset](https://arxiv.org/abs/2203.06823). It can be used to build tutorials / demos with the SKM-TEA dataset.
To access to the full dataset, please follow instructions on [Github](https://github.com/StanfordMIMI/skm-tea/blob/main/DATA... | arjundd/skm-tea-mini | [
"language:en",
"license:other",
"mri",
"quantitative mri",
"reconstruction",
"segmentation",
"detection",
"arxiv:2203.06823",
"region:us"
] | 2022-04-10T16:16:33+00:00 | {"language": "en", "license": "other", "tags": ["mri", "quantitative mri", "reconstruction", "segmentation", "detection"]} | 2022-05-02T19:01:34+00:00 | [
"2203.06823"
] | [
"en"
] | TAGS
#language-English #license-other #mri #quantitative mri #reconstruction #segmentation #detection #arxiv-2203.06823 #region-us
| # SKM-TEA Sample Data
This dataset consists of a subset of scans from the SKM-TEA dataset. It can be used to build tutorials / demos with the SKM-TEA dataset.
To access to the full dataset, please follow instructions on Github.
NOTE: This dataset subset *should not* be used for reporting/publishing metrics. All metri... | [
"# SKM-TEA Sample Data\nThis dataset consists of a subset of scans from the SKM-TEA dataset. It can be used to build tutorials / demos with the SKM-TEA dataset.\n\nTo access to the full dataset, please follow instructions on Github.\n\nNOTE: This dataset subset *should not* be used for reporting/publishing metrics.... | [
"TAGS\n#language-English #license-other #mri #quantitative mri #reconstruction #segmentation #detection #arxiv-2203.06823 #region-us \n",
"# SKM-TEA Sample Data\nThis dataset consists of a subset of scans from the SKM-TEA dataset. It can be used to build tutorials / demos with the SKM-TEA dataset.\n\nTo access to... | [
43,
106,
66,
20,
18
] | [
"passage: TAGS\n#language-English #license-other #mri #quantitative mri #reconstruction #segmentation #detection #arxiv-2203.06823 #region-us \n# SKM-TEA Sample Data\nThis dataset consists of a subset of scans from the SKM-TEA dataset. It can be used to build tutorials / demos with the SKM-TEA dataset.\n\nTo access... |
456a91903148a8a02f7903b4941ef21ef6f7366f | # AirDrums Data
This dataset contains all data needed for training
`2d_images` contains raw unsegmented image data for 2-dimensional dataset. filenames are representative of timestamp
`3d_images` contains raw unsegmented image data (paired) for 3-dimensional dataset. filenames are representative of timestamp and came... | mattgmcadams/AirDrums | [
"region:us"
] | 2022-04-10T23:22:39+00:00 | {} | 2022-04-10T23:40:23+00:00 | [] | [] | TAGS
#region-us
| # AirDrums Data
This dataset contains all data needed for training
'2d_images' contains raw unsegmented image data for 2-dimensional dataset. filenames are representative of timestamp
'3d_images' contains raw unsegmented image data (paired) for 3-dimensional dataset. filenames are representative of timestamp and came... | [
"# AirDrums Data\nThis dataset contains all data needed for training\n\n'2d_images' contains raw unsegmented image data for 2-dimensional dataset. filenames are representative of timestamp\n\n'3d_images' contains raw unsegmented image data (paired) for 3-dimensional dataset. filenames are representative of timestam... | [
"TAGS\n#region-us \n",
"# AirDrums Data\nThis dataset contains all data needed for training\n\n'2d_images' contains raw unsegmented image data for 2-dimensional dataset. filenames are representative of timestamp\n\n'3d_images' contains raw unsegmented image data (paired) for 3-dimensional dataset. filenames are r... | [
6,
209
] | [
"passage: TAGS\n#region-us \n# AirDrums Data\nThis dataset contains all data needed for training\n\n'2d_images' contains raw unsegmented image data for 2-dimensional dataset. filenames are representative of timestamp\n\n'3d_images' contains raw unsegmented image data (paired) for 3-dimensional dataset. filenames ar... |
4fcdce42bb4668907d572c4ae6ac03307847a7ff |
### About DataSet
The dataset based on NEREL corpus.
For more information about original data, please visit this [source](https://github.com/dialogue-evaluation/RuNNE)
Example of preparing original data illustrated in <Prepare_original_data.ipynb>
### Additional info
The dataset consist 29 entities, each of them... | surdan/nerel_short | [
"task_ids:named-entity-recognition",
"multilinguality:monolingual",
"language:ru",
"region:us"
] | 2022-04-11T05:34:28+00:00 | {"language": "ru", "multilinguality": "monolingual", "task_ids": ["named-entity-recognition"]} | 2022-10-25T09:06:49+00:00 | [] | [
"ru"
] | TAGS
#task_ids-named-entity-recognition #multilinguality-monolingual #language-Russian #region-us
|
### About DataSet
The dataset based on NEREL corpus.
For more information about original data, please visit this source
Example of preparing original data illustrated in <Prepare_original_data.ipynb>
### Additional info
The dataset consist 29 entities, each of them can be as beginner part of entity "B-" as inner... | [
"### About DataSet\n\nThe dataset based on NEREL corpus.\n\nFor more information about original data, please visit this source\n\nExample of preparing original data illustrated in <Prepare_original_data.ipynb>",
"### Additional info\n\nThe dataset consist 29 entities, each of them can be as beginner part of entit... | [
"TAGS\n#task_ids-named-entity-recognition #multilinguality-monolingual #language-Russian #region-us \n",
"### About DataSet\n\nThe dataset based on NEREL corpus.\n\nFor more information about original data, please visit this source\n\nExample of preparing original data illustrated in <Prepare_original_data.ipynb>... | [
34,
48,
544
] | [
"passage: TAGS\n#task_ids-named-entity-recognition #multilinguality-monolingual #language-Russian #region-us \n### About DataSet\n\nThe dataset based on NEREL corpus.\n\nFor more information about original data, please visit this source\n\nExample of preparing original data illustrated in <Prepare_original_data.ipy... |
820e1da2eaf57add263d470621bc2a3f43a021e7 | This dataset contains 10 examples of the [segments/sidewalk-semantic](https://huggingface.co/datasets/segments/sidewalk-semantic) dataset (i.e. 10 images with corresponding ground-truth segmentation maps). | huggingface/semantic-segmentation-test-sample | [
"region:us"
] | 2022-04-11T08:12:00+00:00 | {} | 2022-04-11T08:15:24+00:00 | [] | [] | TAGS
#region-us
| This dataset contains 10 examples of the segments/sidewalk-semantic dataset (i.e. 10 images with corresponding ground-truth segmentation maps). | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
02f598f31161ab47a167d725b0de3dc3c0efdde8 |
## Dataset Description
This dataset provides easier accessibility to the original [MNLI dataset](https://huggingface.co/datasets/multi_nli).
We randomly choose 10% of the original `validation_matched` split and use it as the validation split.
The remaining 90% are used for the test split.
The train split remains unc... | westphal-jan/mnli_matched | [
"task_categories:text-classification",
"task_ids:text-scoring",
"task_ids:semantic-similarity-scoring",
"source_datasets:multi_nli",
"region:us"
] | 2022-04-11T09:06:59+00:00 | {"source_datasets": ["multi_nli"], "task_categories": ["text-classification"], "task_ids": ["text-scoring", "semantic-similarity-scoring"]} | 2022-04-16T11:02:51+00:00 | [] | [] | TAGS
#task_categories-text-classification #task_ids-text-scoring #task_ids-semantic-similarity-scoring #source_datasets-multi_nli #region-us
|
## Dataset Description
This dataset provides easier accessibility to the original MNLI dataset.
We randomly choose 10% of the original 'validation_matched' split and use it as the validation split.
The remaining 90% are used for the test split.
The train split remains unchanged. | [
"## Dataset Description\n\nThis dataset provides easier accessibility to the original MNLI dataset.\n\nWe randomly choose 10% of the original 'validation_matched' split and use it as the validation split.\nThe remaining 90% are used for the test split.\nThe train split remains unchanged."
] | [
"TAGS\n#task_categories-text-classification #task_ids-text-scoring #task_ids-semantic-similarity-scoring #source_datasets-multi_nli #region-us \n",
"## Dataset Description\n\nThis dataset provides easier accessibility to the original MNLI dataset.\n\nWe randomly choose 10% of the original 'validation_matched' spl... | [
53,
67
] | [
"passage: TAGS\n#task_categories-text-classification #task_ids-text-scoring #task_ids-semantic-similarity-scoring #source_datasets-multi_nli #region-us \n## Dataset Description\n\nThis dataset provides easier accessibility to the original MNLI dataset.\n\nWe randomly choose 10% of the original 'validation_matched' ... |
3b2935a74731f120004bdcbc3f9fd73f7d854c96 |
# Dataset Card for `squad_bn`
## Table of Contents
- [Dataset Card for `squad_bn`](#dataset-card-for-squad_bn)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboard... | csebuetnlp/squad_bn | [
"task_categories:question-answering",
"task_ids:open-domain-qa",
"task_ids:extractive-qa",
"annotations_creators:machine-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:extended",
"language:bn",
"license:cc-by-nc-sa-4.0",
"arxiv... | 2022-04-11T09:16:26+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["found"], "language": ["bn"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["extended"], "task_categories": ["question-answering"], "task_ids": ["open-domain-qa", "extractive... | 2022-08-21T12:17:43+00:00 | [
"2101.00204",
"2007.01852",
"1606.05250",
"2003.05002"
] | [
"bn"
] | TAGS
#task_categories-question-answering #task_ids-open-domain-qa #task_ids-extractive-qa #annotations_creators-machine-generated #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-extended #language-Bengali #license-cc-by-nc-sa-4.0 #arxiv-2101.00204 #arxiv-2007.01852 #arx... | Dataset Card for 'squad\_bn'
============================
Table of Contents
-----------------
* Dataset Card for 'squad\_bn'
+ Table of Contents
+ Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Usage
+ Dataset Structure
- Data Instances
- Data Fields
- Data S... | [
"### Dataset Summary\n\n\nThis is a Question Answering (QA) dataset for Bengali, curated from the SQuAD 2.0, TyDI-QA datasets and using the state-of-the-art English to Bengali translation model introduced here.",
"### Supported Tasks and Leaderboards\n\n\nMore information needed",
"### Languages\n\n\n* 'Bengali... | [
"TAGS\n#task_categories-question-answering #task_ids-open-domain-qa #task_ids-extractive-qa #annotations_creators-machine-generated #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-extended #language-Bengali #license-cc-by-nc-sa-4.0 #arxiv-2101.00204 #arxiv-2007.0185... | [
142,
55,
13,
9,
11,
20,
101,
209,
10,
13,
13,
13,
8,
8,
12,
21,
10,
11,
17,
9,
80,
24
] | [
"passage: TAGS\n#task_categories-question-answering #task_ids-open-domain-qa #task_ids-extractive-qa #annotations_creators-machine-generated #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-extended #language-Bengali #license-cc-by-nc-sa-4.0 #arxiv-2101.00204 #arxiv-... |
2cf230d6428c8e3cb35710b9aa18858cc33084bc | # Dataset Card for [FrozenLake-v1] | AntoineLB/Frozen-lake-dataset | [
"region:us"
] | 2022-04-11T11:55:48+00:00 | {} | 2022-04-21T11:16:39+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for [FrozenLake-v1] | [
"# Dataset Card for [FrozenLake-v1]"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for [FrozenLake-v1]"
] | [
6,
13
] | [
"passage: TAGS\n#region-us \n# Dataset Card for [FrozenLake-v1]"
] |
643ceefc17441e56cff66f57c03b13615545d42b | Past studies in Sarcasm Detection mostly make use of Twitter datasets collected using hashtag based supervision but such datasets are noisy in terms of labels and language. Furthermore, many tweets are replies to other tweets and detecting sarcasm in these requires the availability of contextual tweets.
To overcome th... | raquiba/Sarcasm_News_Headline | [
"region:us"
] | 2022-04-12T02:50:36+00:00 | {} | 2022-04-14T07:19:08+00:00 | [] | [] | TAGS
#region-us
| Past studies in Sarcasm Detection mostly make use of Twitter datasets collected using hashtag based supervision but such datasets are noisy in terms of labels and language. Furthermore, many tweets are replies to other tweets and detecting sarcasm in these requires the availability of contextual tweets.
To overcome th... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
dd723264101153ba5ddf3451e65446346000f496 |
# Inspec Benchmark Dataset for Keyphrase Generation
## About
Inspec is a dataset for benchmarking keyphrase extraction and generation models.
The dataset is composed of 2,000 abstracts of scientific papers collected from the [Inspec database](https://www.theiet.org/resources/inspec/).
Keyphrases were annotated by pr... | taln-ls2n/inspec | [
"task_categories:text-generation",
"annotations_creators:unknown",
"language_creators:unknown",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"language:en",
"license:unknown",
"region:us"
] | 2022-04-12T07:10:45+00:00 | {"annotations_creators": ["unknown"], "language_creators": ["unknown"], "language": ["en"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "task_categories": ["text-mining", "text-generation"], "task_ids": ["keyphrase-generation", "keyphrase-extraction"], "pretty_name": "In... | 2022-07-21T13:14:59+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #annotations_creators-unknown #language_creators-unknown #multilinguality-monolingual #size_categories-1K<n<10K #language-English #license-unknown #region-us
| Inspec Benchmark Dataset for Keyphrase Generation
=================================================
About
-----
Inspec is a dataset for benchmarking keyphrase extraction and generation models.
The dataset is composed of 2,000 abstracts of scientific papers collected from the Inspec database.
Keyphrases were annotat... | [] | [
"TAGS\n#task_categories-text-generation #annotations_creators-unknown #language_creators-unknown #multilinguality-monolingual #size_categories-1K<n<10K #language-English #license-unknown #region-us \n"
] | [
70
] | [
"passage: TAGS\n#task_categories-text-generation #annotations_creators-unknown #language_creators-unknown #multilinguality-monolingual #size_categories-1K<n<10K #language-English #license-unknown #region-us \n"
] |
29b145026c2ec661f3ad581e42f73c68be4f4a13 |
# Dataset Description
Out of **20,577** human proteins (from [UniProt human proteome](https://www.uniprot.org/proteomes/UP000005640)), sequences shorter than 20 amino acids or longer than 512 amino acids were removed, resulting in a set of **12,703** proteins. The uShuffle algorithm ([python pacakge](https://github.c... | yarongef/human_proteome_singlets | [
"license:mit",
"region:us"
] | 2022-04-12T07:20:31+00:00 | {"license": "mit"} | 2022-09-21T07:45:02+00:00 | [] | [] | TAGS
#license-mit #region-us
|
# Dataset Description
Out of 20,577 human proteins (from UniProt human proteome), sequences shorter than 20 amino acids or longer than 512 amino acids were removed, resulting in a set of 12,703 proteins. The uShuffle algorithm (python pacakge) was then used to shuffle these protein sequences while maintaining their s... | [
"# Dataset Description\n\nOut of 20,577 human proteins (from UniProt human proteome), sequences shorter than 20 amino acids or longer than 512 amino acids were removed, resulting in a set of 12,703 proteins. The uShuffle algorithm (python pacakge) was then used to shuffle these protein sequences while maintaining t... | [
"TAGS\n#license-mit #region-us \n",
"# Dataset Description\n\nOut of 20,577 human proteins (from UniProt human proteome), sequences shorter than 20 amino acids or longer than 512 amino acids were removed, resulting in a set of 12,703 proteins. The uShuffle algorithm (python pacakge) was then used to shuffle these... | [
11,
135,
15
] | [
"passage: TAGS\n#license-mit #region-us \n# Dataset Description\n\nOut of 20,577 human proteins (from UniProt human proteome), sequences shorter than 20 amino acids or longer than 512 amino acids were removed, resulting in a set of 12,703 proteins. The uShuffle algorithm (python pacakge) was then used to shuffle th... |
68b2211a56c1f2a2276d10c2d0f31a416ed9a2c9 |
# Dataset Card for Snacks
## Dataset Summary
This is a dataset of 20 different types of snack foods that accompanies the book [Machine Learning by Tutorials](https://www.raywenderlich.com/books/machine-learning-by-tutorials/v2.0).
The images were taken from the [Google Open Images dataset](https://storage.googleapi... | Matthijs/snacks | [
"task_categories:image-classification",
"license:cc-by-4.0",
"region:us"
] | 2022-04-12T07:30:24+00:00 | {"license": "cc-by-4.0", "task_categories": ["image-classification", "computer-vision"], "pretty_name": "Snacks"} | 2022-04-12T13:26:59+00:00 | [] | [] | TAGS
#task_categories-image-classification #license-cc-by-4.0 #region-us
|
# Dataset Card for Snacks
## Dataset Summary
This is a dataset of 20 different types of snack foods that accompanies the book Machine Learning by Tutorials.
The images were taken from the Google Open Images dataset, release 2017_11.
## Dataset Structure
Number of images in the train/validation/test splits:
To... | [
"# Dataset Card for Snacks",
"## Dataset Summary\n\nThis is a dataset of 20 different types of snack foods that accompanies the book Machine Learning by Tutorials.\n\nThe images were taken from the Google Open Images dataset, release 2017_11.",
"## Dataset Structure\n\nNumber of images in the train/validation/t... | [
"TAGS\n#task_categories-image-classification #license-cc-by-4.0 #region-us \n",
"# Dataset Card for Snacks",
"## Dataset Summary\n\nThis is a dataset of 20 different types of snack foods that accompanies the book Machine Learning by Tutorials.\n\nThe images were taken from the Google Open Images dataset, releas... | [
26,
7,
48,
57,
12,
78
] | [
"passage: TAGS\n#task_categories-image-classification #license-cc-by-4.0 #region-us \n# Dataset Card for Snacks## Dataset Summary\n\nThis is a dataset of 20 different types of snack foods that accompanies the book Machine Learning by Tutorials.\n\nThe images were taken from the Google Open Images dataset, release 2... |
14aba009b5fcd97b1a9ee6f3e3b0da0e308cf7cb |
### Dataset Summary
This dataset is extracted from Fever dataset (https://fever.ai), pre-processed and ready to train and evaluate.
The training objective is a text classification task - given a claim and evidence, predict if evidence is related to claim. | mwong/fever-evidence-related | [
"task_categories:text-classification",
"task_ids:fact-checking",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:extended|fever",
"language:en",
"license:cc-by-sa-3.0",
"license:gpl-3.0",
"region:... | 2022-04-12T07:39:59+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["cc-by-sa-3.0", "gpl-3.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["extended|fever"], "task_categories": ["text-classification"], "task_ids": ["fact-checki... | 2022-10-25T09:06:51+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #task_ids-fact-checking #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-extended|fever #language-English #license-cc-by-sa-3.0 #license-gpl-3.0 #region-us
|
### Dataset Summary
This dataset is extracted from Fever dataset (URL), pre-processed and ready to train and evaluate.
The training objective is a text classification task - given a claim and evidence, predict if evidence is related to claim. | [
"### Dataset Summary\nThis dataset is extracted from Fever dataset (URL), pre-processed and ready to train and evaluate.\nThe training objective is a text classification task - given a claim and evidence, predict if evidence is related to claim."
] | [
"TAGS\n#task_categories-text-classification #task_ids-fact-checking #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-extended|fever #language-English #license-cc-by-sa-3.0 #license-gpl-3.0 #region-us \n",
"### Dataset Summa... | [
107,
56
] | [
"passage: TAGS\n#task_categories-text-classification #task_ids-fact-checking #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-extended|fever #language-English #license-cc-by-sa-3.0 #license-gpl-3.0 #region-us \n### Dataset Su... |
e53f048856ff4f594e959d75785d2c2d37b678ee |
# Dataset Card for GSM8K
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#da... | gsm8k | [
"task_categories:text2text-generation",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"license:mit",
"math-word-problems",
"arxiv:2110.14168",
"region:us"
] | 2022-04-12T09:22:10+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text2text-generation"], "task_ids": [], "paperswithcode_id": "gsm8k", "pret... | 2024-01-04T12:05:15+00:00 | [
"2110.14168"
] | [
"en"
] | TAGS
#task_categories-text2text-generation #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-mit #math-word-problems #arxiv-2110.14168 #region-us
| Dataset Card for GSM8K
======================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+ Annotations
+ Personal and Sensit... | [
"### Dataset Summary\n\n\nGSM8K (Grade School Math 8K) is a dataset of 8.5K high quality linguistically diverse grade school math word problems. The dataset was created to support the task of question answering on basic mathematical problems that require multi-step reasoning.\n\n\n* These problems take between 2 an... | [
"TAGS\n#task_categories-text2text-generation #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-mit #math-word-problems #arxiv-2110.14168 #region-us \n",
"### Dataset Summary\n\n\nGSM8K (Gra... | [
96,
218,
42,
32,
111,
77,
11,
7,
4,
206,
10,
5,
5,
15,
18,
7,
8,
14,
6,
20,
18
] | [
"passage: TAGS\n#task_categories-text2text-generation #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-mit #math-word-problems #arxiv-2110.14168 #region-us \n### Dataset Summary\n\n\nGSM8K (... |
d7ec87c8656a85d795e41f727f9ef2286310eee9 |
# Dataset Card for SBU Captioned Photo Dataset
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Dataset Preprocessing](#dataset-preprocessing)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboar... | sbu_captions | [
"task_categories:image-to-text",
"task_ids:image-captioning",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:original",
"language:en",
"license:unknown",
"region:us"
] | 2022-04-12T09:41:52+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["en"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["original"], "task_categories": ["image-to-text"], "task_ids": ["image-captioning"], "paperswithcode_id": "sbu-captions... | 2024-01-18T11:19:05+00:00 | [] | [
"en"
] | TAGS
#task_categories-image-to-text #task_ids-image-captioning #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-1M<n<10M #source_datasets-original #language-English #license-unknown #region-us
|
# Dataset Card for SBU Captioned Photo Dataset
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Dataset Preprocessing
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rational... | [
"# Dataset Card for SBU Captioned Photo Dataset",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Dataset Preprocessing\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n ... | [
"TAGS\n#task_categories-image-to-text #task_ids-image-captioning #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-1M<n<10M #source_datasets-original #language-English #license-unknown #region-us \n",
"# Dataset Card for SBU Captioned Photo Dataset",
"## Table of... | [
86,
13,
131,
47,
26,
43,
46,
11,
6,
31,
49,
24,
5,
88,
11,
155,
14,
5,
24,
13,
8,
8,
7,
8,
7,
5,
23,
10,
17
] | [
"passage: TAGS\n#task_categories-image-to-text #task_ids-image-captioning #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-1M<n<10M #source_datasets-original #language-English #license-unknown #region-us \n# Dataset Card for SBU Captioned Photo Dataset## Table of Co... |
4e2d0dd3b956ed9e3c623e087a9e800afee79572 |
# Dataset Description
Out of **20,577** human proteins (from [UniProt human proteome](https://www.uniprot.org/proteomes/UP000005640)), sequences shorter than 20 amino acids or longer than 512 amino acids were removed, resulting in a set of **12,703** proteins. The uShuffle algorithm ([python pacakge](https://github.co... | yarongef/human_proteome_doublets | [
"license:mit",
"region:us"
] | 2022-04-12T09:42:22+00:00 | {"license": "mit"} | 2022-09-21T07:43:43+00:00 | [] | [] | TAGS
#license-mit #region-us
|
# Dataset Description
Out of 20,577 human proteins (from UniProt human proteome), sequences shorter than 20 amino acids or longer than 512 amino acids were removed, resulting in a set of 12,703 proteins. The uShuffle algorithm (python pacakge) was then used to shuffle these protein sequences while maintaining their do... | [
"# Dataset Description\nOut of 20,577 human proteins (from UniProt human proteome), sequences shorter than 20 amino acids or longer than 512 amino acids were removed, resulting in a set of 12,703 proteins. The uShuffle algorithm (python pacakge) was then used to shuffle these protein sequences while maintaining the... | [
"TAGS\n#license-mit #region-us \n",
"# Dataset Description\nOut of 20,577 human proteins (from UniProt human proteome), sequences shorter than 20 amino acids or longer than 512 amino acids were removed, resulting in a set of 12,703 proteins. The uShuffle algorithm (python pacakge) was then used to shuffle these p... | [
11,
170
] | [
"passage: TAGS\n#license-mit #region-us \n# Dataset Description\nOut of 20,577 human proteins (from UniProt human proteome), sequences shorter than 20 amino acids or longer than 512 amino acids were removed, resulting in a set of 12,703 proteins. The uShuffle algorithm (python pacakge) was then used to shuffle thes... |
7a048b602b00c84360b440c8f13b198b67c14ae4 |
# Dataset Description
Out of **20,577** human proteins (from [UniProt human proteome](https://www.uniprot.org/proteomes/UP000005640)), sequences shorter than 20 amino acids or longer than 512 amino acids were removed, resulting in a set of **12,703** proteins. The uShuffle algorithm ([python pacakge](https://github.co... | yarongef/human_proteome_triplets | [
"license:mit",
"region:us"
] | 2022-04-12T09:44:30+00:00 | {"license": "mit"} | 2022-09-21T07:44:27+00:00 | [] | [] | TAGS
#license-mit #region-us
|
# Dataset Description
Out of 20,577 human proteins (from UniProt human proteome), sequences shorter than 20 amino acids or longer than 512 amino acids were removed, resulting in a set of 12,703 proteins. The uShuffle algorithm (python pacakge) was then used to shuffle these protein sequences while maintaining their tr... | [
"# Dataset Description\nOut of 20,577 human proteins (from UniProt human proteome), sequences shorter than 20 amino acids or longer than 512 amino acids were removed, resulting in a set of 12,703 proteins. The uShuffle algorithm (python pacakge) was then used to shuffle these protein sequences while maintaining the... | [
"TAGS\n#license-mit #region-us \n",
"# Dataset Description\nOut of 20,577 human proteins (from UniProt human proteome), sequences shorter than 20 amino acids or longer than 512 amino acids were removed, resulting in a set of 12,703 proteins. The uShuffle algorithm (python pacakge) was then used to shuffle these p... | [
11,
168
] | [
"passage: TAGS\n#license-mit #region-us \n# Dataset Description\nOut of 20,577 human proteins (from UniProt human proteome), sequences shorter than 20 amino acids or longer than 512 amino acids were removed, resulting in a set of 12,703 proteins. The uShuffle algorithm (python pacakge) was then used to shuffle thes... |
4a4b251e2258a5d44e0b258c1ea7b026d4e7147e |
### Dataset Summary
This dataset is extracted from Climate Fever dataset (https://www.sustainablefinance.uzh.ch/en/research/climate-fever.html), pre-processed and ready to train and evaluate.
The training objective is a text classification task - given a claim and evidence, predict if evidence is related to claim. | mwong/climate-evidence-related | [
"task_categories:text-classification",
"task_ids:fact-checking",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:extended|climate_fever",
"language:en",
"license:cc-by-sa-3.0",
"license:gpl-3.0",
... | 2022-04-12T09:58:49+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["cc-by-sa-3.0", "gpl-3.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["extended|climate_fever"], "task_categories": ["text-classification"], "task_ids": ["fac... | 2022-10-25T09:06:54+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #task_ids-fact-checking #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-extended|climate_fever #language-English #license-cc-by-sa-3.0 #license-gpl-3.0 #region-us
|
### Dataset Summary
This dataset is extracted from Climate Fever dataset (URL pre-processed and ready to train and evaluate.
The training objective is a text classification task - given a claim and evidence, predict if evidence is related to claim. | [
"### Dataset Summary\nThis dataset is extracted from Climate Fever dataset (URL pre-processed and ready to train and evaluate.\nThe training objective is a text classification task - given a claim and evidence, predict if evidence is related to claim."
] | [
"TAGS\n#task_categories-text-classification #task_ids-fact-checking #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-extended|climate_fever #language-English #license-cc-by-sa-3.0 #license-gpl-3.0 #region-us \n",
"### Datas... | [
111,
57
] | [
"passage: TAGS\n#task_categories-text-classification #task_ids-fact-checking #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-extended|climate_fever #language-English #license-cc-by-sa-3.0 #license-gpl-3.0 #region-us \n### Da... |
15e4d1933a321088880215257aa25b621a091335 | This dataset is the subset of original eli5 dataset available on hugging face | Pavithree/eli5 | [
"region:us"
] | 2022-04-12T11:31:47+00:00 | {} | 2022-04-23T07:38:44+00:00 | [] | [] | TAGS
#region-us
| This dataset is the subset of original eli5 dataset available on hugging face | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
ca047290468c7f565f248c16139d2a096230112b |
# Dataset Card for Snacks (Detection)
## Dataset Summary
This is a dataset of 20 different types of snack foods that accompanies the book [Machine Learning by Tutorials](https://www.raywenderlich.com/books/machine-learning-by-tutorials/v2.0).
The images were taken from the [Google Open Images dataset](https://stora... | Matthijs/snacks-detection | [
"task_categories:object-detection",
"license:cc-by-4.0",
"region:us"
] | 2022-04-12T13:17:41+00:00 | {"license": "cc-by-4.0", "task_categories": ["object-detection", "computer-vision"], "pretty_name": "Snacks (Detection)"} | 2022-04-12T13:26:04+00:00 | [] | [] | TAGS
#task_categories-object-detection #license-cc-by-4.0 #region-us
|
# Dataset Card for Snacks (Detection)
## Dataset Summary
This is a dataset of 20 different types of snack foods that accompanies the book Machine Learning by Tutorials.
The images were taken from the Google Open Images dataset, release 2017_11.
## Dataset Structure
Included in the data folder are three CSV files... | [
"# Dataset Card for Snacks (Detection)",
"## Dataset Summary\n\nThis is a dataset of 20 different types of snack foods that accompanies the book Machine Learning by Tutorials.\n\nThe images were taken from the Google Open Images dataset, release 2017_11.",
"## Dataset Structure\n\nIncluded in the data folder ar... | [
"TAGS\n#task_categories-object-detection #license-cc-by-4.0 #region-us \n",
"# Dataset Card for Snacks (Detection)",
"## Dataset Summary\n\nThis is a dataset of 20 different types of snack foods that accompanies the book Machine Learning by Tutorials.\n\nThe images were taken from the Google Open Images dataset... | [
26,
11,
48,
191,
12,
61
] | [
"passage: TAGS\n#task_categories-object-detection #license-cc-by-4.0 #region-us \n# Dataset Card for Snacks (Detection)## Dataset Summary\n\nThis is a dataset of 20 different types of snack foods that accompanies the book Machine Learning by Tutorials.\n\nThe images were taken from the Google Open Images dataset, r... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.